Adrian Sandu – Resume (May 31, 2016) 1

Adrian Sandu

Professor

Department of Computer Science

Virginia Polytechnic Institute and State University

2202 Kraft Drive

Blacksburg, VA 24060

Office: 2224 KnowledgeWorks II

E-Mail: sandu@cs.vt.edu

Phone: (540)-231-2193

Fax: (540)-231-9218

Homepage: http://people.cs.vt.edu/~asandu

Education

Postdoc Courant Institute, NYU Computational Biology 1997-98

Ph.D. University of Iowa Applied Mathematical and

Computational Sciences 1997

M.S. University of Iowa Computer Science 1997

B.S./M.S. Polytechnic Institute Bucharest Electrical Engineering 1990

Research Interests

Scientific Computing, Parallel Computing, Mathematical Software Development,

Numerical Methods for Stiff ODE, DAE, Conservation Laws,

Advection-Diffusion-Reaction Equations, Sparse Linear Algebra,

Sensitivity Analysis, Data Assimilation, Automatic Differentiation,

Air Quality Modeling, Computational Biology.

Appointments

Faculty Appointee Nat’l Inst. Standards and Technology 2011–

Professor, Computer Science Virginia Polytechnic Institute 2011–

Associate Prof. Computer Science Virginia Polytechnic Institute 2003-2011

Assistant Prof. Computer Science Michigan Technological University 1998-2003

Postdoctoral Research Associate Courant Institute, NYU 1997-98

Teaching and Research Assistant The University of Iowa 1992-97

Lecturer Polytechnic Institute Bucharest 1991-92

Research Engineer Computer Sci. Res. Inst. Bucharest 1990-91

2 Adrian Sandu – Resume (May 31, 2016)

Professional Service

National and International

– Associate Editor, SIAM/ASA Journal on Uncertainty Quantification, since 2012.

The journal is dedicated to nurturing synergistic interactions between the mathemat-

ical, statistical, computational, and applications communities involved in uncertainty

quantification and related areas.

– Editorial Board, Applied Numerical Mathematics, since 2006. APNUM is a high qual-

ity international journal focused on computational mathematics.

– Topical Editor, Geoscientific Model Development, since 2007. GMD is an interna-

tional scientific journal dedicated to the description, development, and benchmarking of

numerical models of the Earth system and its components.

– Editorial Board, International Journal of Computer Mathematics, since 2010.

IJCM (Section B) publishes original work in the fields of numerical analysis, mathe-

matical software, and applied mathematics.

– Member, NSF Large and Medium Resource Allocations Committee (XRAC; formerly

known as TRAC), 2008–2013. Allocation decisions are made for the Extreme Science and

Engineering Discovery Environment (XSEDE; formerly TeraGrid). XSEDE is the world’s

largest, most comprehensive distributed cyberinfrastructure for open scientific research .

– Co-chair of “Large and Heterogeneous Data” work group and co-author of the report for

the “Dynamic Data-Driven Applications Systems (DDDAS) - InfoSymbiotic Systems”

workshop Arlington, Virginia, August 30-31, 2010.

Department and University

Adrian Sandu – Resume (May 31, 2016) 3

– Member, Costain Chair Faculty Search Committee, Mathematics department, Virginia

Tech, 2015

– Member, Optimization Faculty Search Committee, Industrial Systems Engineering de-

partment, Virginia Tech, 2015

– Chair, Machine Learning faculty search committee, Computer Science Department, 2014

– Faculty mentor (for dr. Yang Cao, 2008–2010; for dr. Liqing Zhang, 2013–; for dr.

Changhee Jung, 2014–)

– Computer Science Department Hiring Search Committee, 2011–2013

– Computer Science Department Graduate Program Committee, 2011–2014

– Computer Science Department Undergraduate Program Committee, 2010–2012

– Computer Science Department Promotion and Tenure Committee, 2009,2011,2013–

– Chair of Computer Science Graduate Admissions Committee, 2006–2009

– Computer Science Department Graduate Admissions Committee, 2005

– HPC Qualifier Committee Chair, Computer Science Department, 2004–2005; 2009

Conferences

Positions involving the management of paper submission, review, and acceptance:

– Program Chair and Publication Chair, Dynamic Data-driven Environmental Systems Science

Conference DyDESS, Massachusetts Institute of Technology, Cambridge, MA, November 5-7,

2014.

– Program committee member, 8th IEEE International Conference on eScience (eScience 2012),

Algorithms and Applications Track, Chicago, October 8–12, 2012.

– General Chair, Atmospheric and Oceanic Computational Science Workshop, International

Conference on Computational Science ICCS 2012 “Empowering Science through Computing”,

Omaha, Nebraska, June 4–6, 2012.

– General chair, High Performance Computing Symposium (HPC 2010), Orlando, Florida, April

2010

– Program chair, High Performance Computing and Simulation Symposium (HPCS 2009), San

Diego, California, April 2009

– Organizer and chair of the Workshop on Atmospheric and Oceanic Computational Science,

International Conference on Computational Science (ICCS 2009), Baton Rouge, Louisiana,

April 2009 (with A. St-Cyr and K. Evans)

4 Adrian Sandu – Resume (May 31, 2016)

– Organizer and chair of the Computational Sciences Track, ACM SAC’09, Hawaii, March 2009

(with Y. Cao)

– Program vice-chair, High Performance Computing and Simulation Symposium (HPCS 2008),

Ottawa, Ontario, Canada, April 2008

– Organizer and chair of the workshop “Computational Methods for Advancing Atmospheric

and Oceanic Sciences”, International Conference for Computational Science ICCS-2005, At-

lanta, GA, May 2005

– Organizer and chair of the Computational Sciences Track, ACM SAC’04, Nicosia, Cyprus,

March 2004

– Organizer and Chair of the Computational Sciences Track, ACM SAC’03, Melbourne, Florida,

March 2003

Leadership positions not involving paper management:

– Co-organizer and co-chair of the Data Assimilation and Uncertainty Quantification min-

isymposia MS 9, MS24 (two parts) at the SIAM Conference on Uncertainty Quantification,

SwissTech Convention Center, EPFL campus, Lausanne, Switzerland, April 5–8, 2016.

– Co-organizer and co-chair of the Parallel Methodologies for Large Data Assimilation and

Inverse Problems minisymposia MS 39, MS47 (two parts) at the SIAM Conference on Parallel

Processing for Scientific Computing, Universite

– Program committee member, International Conference on Computational Science, Reykjavik,

Iceland, June 1–3 2015.

– Co-organizer and co-chair of the Inverse Problems and Data Assimilation minisymposia

MS168, MS194, MS218, MS243, MS267, MS292 (six parts) at the SIAM Conference on Com-

putational Science and Engineering, Salt Lake City, Utah, March 3–18, 2015.

– Co-organizer and co-chair of the Advances in Time-stepping Methods minisymposia MS136,

MS162, MS188, MS212, MS237 (five parts) at the SIAM Conference on Computational Sci-

ence and Engineering, Salt Lake City, Utah, March 3–18, 2015.

– Program committee member, International Conference on Computational Science, Cairns,

Australia, June 1–3 2014.

– Co-organizer and co-chair of the Data Assimilation and PDE Based Optimization (two parts)

minisymposia MS215/MS269 at the SIAM Conference on Computational Science and Engi-

neering, Boston, Massachusetts, Feb. 27–March 1, 2013.

– Co-organizer and co-chair of the Data Assimilation and Inverse Problems (two parts) min-

isymposia MS70/MS78 at the SIAM Conference on Uncertainty Quantification, Rayleigh,

North Carolina, April 2–5, 2012.

– Co-organizer and co-chair of the Practical Scientific Computing with High-order Methods

(three parts) minisymposium MS116 at the SIAM Conference on Computational Science and

Engineering, abstract p. 192, Reno, Nevada, March 1–4, 2011

Adrian Sandu – Resume (May 31, 2016) 5

– Co-organizer and chair of the Innovative Time Integration Methods minisymposium at the

SIAM Conference on Computational Science and Engineering, Miami, Florida, March 2009

– Co-organizer and chair of the New Developments in Atmospheric and Ocean Data Assimi-

lation minisymposium at the SIAM Conference on Computational Science and Engineering,

Miami, Florida, March 2009

– Co-organizer and chair of the Parallel Computing in Atmospheric and Ocean Modeling min-

isymposium at the SIAM Conference on Parallel Processing, Atlanta, Georgia, March 2008.

– Co-organizer and chair of the Data Assimilation minisymposium at the SIAM Computational

Science and Engineering, Costa Mesa, CA, February 18–22, 2007

Other:

– Session chair, High Performance Computing and Simulation Symposium (HPCS 2008), Ot-

tawa, Ontario, Canada, April 2008

– Session Chair, High Performance Computing Symposium HPC-2007 Norfolk, VA, March 26-

28, 2007

– Session Chair, CP04, SIAM PP04, San Francisco, February 2004

– Session Chair, CP16 and CP29, SIAM CSE03, San Diego, February 2003

– Member of the Scientific Committee, 2nd International Conference on Air Pollution Modeling

and Simulation APMS 2001, April 9-13 2001, Paris

Proposal reviews (and/or panel membership) for research funding agencies

– National Science Foundation, U.S.; Environmental Protection Agency, U.S.; Engineering and

Physical Sciences Research Council, U.K.; Natural Environment Research Council, U.K.;

Netherlands Organization for Scientific Research (NWO); Austrian Science Foundation, Aus-

tria; Midwestern Association of Graduate Schools, U.S.; Global Climate and Energy Project

(GCEP), Stanford University, U.S.

Reviews for international scientific journals

– ACM Transactions on Mathematical Software, AIAA, Journal, Aerosol Science and Tech-

nology, Applied Numerical Mathematics, Atmospheric Environment, Computational Geo-

sciences, Computer Methods in Applied Mechanics and Engineering, Computing, Environ-

mental Modeling and Software, Future Generation Computer Systems, IEE Proc. Systems

Biology, International Journal of Computational Fluid Dynamics, International Journal for

Numerical Methods in Engineering, Journal of Advances in Modeling Earth Systems, Journal

of Aircraft, Journal of Computational Physics, Journal of Environmental Management, Jour-

nal of Geophysical Research, Journal of Scientific Computing, Journal of Terramechanics,

Mathematics and Computers in Simulation, Ocean Modeling, Optimization and Engineering,

SIAM Journal on Scientific Computing.

6 Adrian Sandu – Resume (May 31, 2016)

Synergistic Activities

– Co-authored the chemical preprocessing and solution software KPP, currently used in

academic and research institutions and in industry in many countries;

– Developed a new Ph.D. level course Inverse Problems, taught at VT 2007-;

– Developed a new Ph.D. level course Numerical Air Quality Modeling, taught for the first

time at MTU in Spring 2000;

– Developed (in cooperation) a new senior and graduate level course Bioinformatics and

Biomolecular Modeling, taught for the first time at MTU in Spring 2000.

Honors

ACM Distinguished Scientist 2015

Scholar of the Week, Virginia Tech, April 30, 2012 2012

Faculty Fellow, Advanced Study Program, National Center for Atmospheric

Research

2010

AVTT Best Paper Award, DETC2009-86402, ASME IDETC 2009, San

Diego

2009

Virginia Tech College of Engineering Fellow 2009

2003 Professional Engineers Publishing Award from the Editorial Board of

the Journal of Multi-body Dynamics

2005

NSF CAREER award 2001

AMCS Nomination for Spriesterbacher Ph.D. Dissertation Prize, University

of Iowa

1998

AMCS Summer Merit Fellowships, University of Iowa 1993-94

Merit Fellowships (for students in top 0.5% at Polytechnic Institute

Bucharest)

1988-90

Special Prize, National Computer Programming Contest, Cluj, Romania 1988

Special Prize, National Electrotechnics Contest, Bucharest, Romania 1987

Special Prize, Polytechnic Institute Bucharest Mathematics Contest,

Bucharest

1987

Third prize, National Mechanics Contest, Iasi, Romania 1986

Programming Skills

C/C++, Fortran77/90/95, Pascal, MPI, Matlab, Mathematica, Prolog, HTML.

Mathematical software (Lapack, Harwell, SuperLU, Y12, ODE solvers, etc).

Adrian Sandu – Resume (May 31, 2016) 7

Languages

English, Romanian, Russian (reading), French (reading).

Short Term Professional Visits

University of Wuppertal 11/2011

Technical University Darmstadt 06/2004

Center for Mathematics and Computer Science (CWI), Amsterdam 09/1996

DIMA, Institut Francais du Petrole, Paris 10/1996

Center for Mathematics and Computer Science (CWI), Amsterdam 09/1995

Long Term Professional Visits

Visiting Faculty, Statistical and Applied Mathematical Sciences Institute 07–12/2011

Faculty Fellow, National Center for Atmospheric Research 01–06/2010

8 Adrian Sandu – Resume (May 31, 2016)

Teaching

Virginia Polytechnic Institute (Assoc. & Full Prof.):

CS–3414 Numerical Methods Spr 2005, Spr 2006 (twice),

Fall 2006, Spr 2008, Spr

2011

CS–4104 Data and Algorithm Analysis Spr 2008

CS–4234 Parallel Computation Fall 2005, Fall 2007, Fall

2009

CS/MATH–4414 Issues in Scientific Computing Spr 2007, Spr 2012

CS–5045 Computation for the Life Sciences Fall 2003

CS–5234 Advanced Parallel Computation Fall 2009, Fall 2010, Spr

2012

CS/MATH–5485 Numerical Analysis and Software Fall 2004, Fall 2005, Fall

2006, Fall 2010

CS–5984 Foundations of Scientific Computing Spr 2004, Spr 2005

CS–6404 Data Assimilation Spr 2007

CS–6404 Inverse Modeling Spr 2008, Spr 2009

Michigan Technological University (Asst. Prof.):

Undergraduate courses: CS220–Introd. Numerical Methods with Fortran (developed

complete set of course notes), CS311–Introd. Theoretical Computer Science, CS490–

Bioinformatics and Biomolecular Modeling (taught first time ever at MTU in Spr. 2000);

CS4321–Introd. to Algorithms; CS490–Introd. to Parallel Computing;

Graduate courses: CS5331–Parallel Algorithms; CS5911–Numerical Linear Alge-

bra; CS5911–Iterative Methods; CSE690–Topics in Computational Science, CSE690–

Atmospheric Modeling (taught first time ever at MTU in Spr. 2000),

University of Iowa (TA): Quantitative Methods, Trigonometry;

Polytechnic Institute Bucharest (instructor): Numerical Methods in Electrical

Engineering, Programming with Pascal, Control Systems.

Adrian Sandu – Resume (May 31, 2016) 9

Advising

Postdoctoral/Associate Researchers Currently Advised

1. Mohammed El Shambakey (2016).

Postdoctoral/Associate Researchers Formerly Advised

4. S, tefanescu, Razvan (2013–2015). Position: Researcher, North Carolina State University,

Rayleigh.

3. Dopico Dopico, Daniel (2012–2013). Position: Associate Professor of Mechanical Engineering,

University of La Coruna, Spain.

2. Jardak, Mohamed (2008–2009). Position: Researcher, Laboratoire de Meteorologie Dy-

namique/IPSL, Ecole Normale Superieure, Paris.

1. Liao, Wenyuan (2003–2005). Position: Associate Professor of Mathematics, University of

Calgary, Canada.

Undergraduate Students Advised

Spring 2016: Steven Roberts; Giselle Villar (female); Melissa Land (female).

Fall 2015: Steven Roberts.

Summer 2015: Zhenshu Zhao (female); Feiyi Xu (female); Steven Roberts.

Spring 2015: Feiyi Xu (female); Steven Roberts.

Summer 2013: Sheng Zhou (female); Nathaniel Craun; Christopher Lapsley; Anthony

D’Augustine.

Summer 2012: Nicholas Bakelas; Anthony D’Augustine.

Summer 2011: Aleksandr Andreev; Colin Gintz.

Summer 2008: NSF REU (VT-TUD collaboration). Hannes Daepp (from Tufts).

Summer 2007: NSF REU (VT-TUD collaboration). John Robinson (from SUNY Buffalo).

Summer 2006: NSF REU (KPP numerical integration in C). Eller, Paul; Jiang, Tingting;

Hobbs, Nicholas; Jacob, Don.

10 Adrian Sandu – Resume (May 31, 2016)

Ph.D. Students Currently Advised

1. Tranquilli, Paul. Dissertation title: “Lightly implicit time stepping methods”. Ph.D. expected

2016.

2. Attia, Ahmed. Dissertation title: “Advanced Sampling Methods for Inference Problems”.

Ph.D. expected 2016.

3. Glandon, Steven Ross. Dissertation title: “Co-Design of Hardware/Software for Predicting

MAV Aerodynamics”. Ph.D. expected 2017.

4. Moosavi Zavar, Azam Sadat. Dissertation title: “TBD”. Ph.D. expected 2018.

5. Sarshar, Arash. Dissertation title: “TBD”. Ph.D. expected 2019.

6. Corner, Sebastien. Dissertation title: “TBD”. Ph.D. expected 2019.

7. Narayanamurthi, Mahesh. Dissertation title: “TBD”. Ph.D. expected 2019.

M.S. Students Currently Advised

1. D’Augustine, Anthony. Thesis title: “MATLODE: A Matlab Suite for ODE Integration and

Sensitivity Analysis”. M.S. expected 2015.

Graduated Ph.D. Students

13. Nino, David Elias Ruiz. Ph.D. Dec. 2015. Dissertation title: “Efficient Formulation and

Implementation of Ensemble-Based Methods in Data Assimilation”. (Position: Assistant pro-

fessor, Universidad del Norte, Baranquilla, Columbia).

12. Rao, Vishwas Hebbur Venkata Subba. Ph.D. Aug. 2015. Dissertation title: “Adjoint-Based

Solution and Uncertainty Quantification Techniques for Variational Inverse Problems”. (Po-

sition: Postdoctoral researcher, ICES, U. Texas at Austin).

11. Zhu, Yitao. Ph.D. Dec. 2014. Dissertation title: “Sensitivity Analysis and Optimization of

Multibody Systems”. (Position: Engineer, Ford Motor Company).

10. Hong, Zhang. Ph.D. Aug. 2014. Dissertation title: “Efficient Time Stepping Methods and

Sensitivity Analysis for Large Scale Systems of Differential Equations”. (Position: Postdoc-

toral researcher, Argonne National Laboratory).

9. Cioaca, Alexandru. Ph.D. Aug. 2013. Dissertation title: “The Impact of Observations

in Large Scale Inverse Modeling”. (Position: Assistant professor, University “Lumina”,

Bucharest, Romania).

Adrian Sandu – Resume (May 31, 2016) 11

8. Ahn, Tae-Hyuk. Ph.D. Aug. 2012. Dissertation title: “Computational Techniques for the

Analysis of Large Scale Biological Systems” (Position: Assistant professor, Saint Louis Uni-

versity).

7. Hays, Joseph. Ph.D. Aug. 2011. Dissertation title: “Parametric Optimal Design of Uncertain

Dynamical Systems” (A. Sandu main advisor; co-advisors C. Sandu and D. Hong). (Position:

Robotics Engineer at US Naval Research Laboratory, Washington, DC)

6. Alexe, Mihai. Ph.D. March 2011. Dissertation title: “Adjoint-based space-time adaptive

solution algorithms for sensitivity analysis and inverse problems”. (Position: Geophysical

application engineer, Seismic processing group, Shell Global Solutions International B.V.,

Rijswijk, Nederland).

5. Singh, Kumaresh. Ph.D. Aug. 2010 (Sandu main advisor; co-advisor W. Feng). Disserta-

tion title: “Efficient Computational Tools for Variational Data Assimilation and Information

Content Estimation”. (Position: Analyst, Deutsche Bank, Cary, North Carolina).

4. Linford, John. Ph.D. May 2010. Dissertation title: “Accelerating Atmospheric Modeling

Through Emerging Multi-core Technologies”. (Position: Real-time systems programmer,

Northrop Grumman Electronic Systems, Baltimore, Maryland.)

3. Blanchard, Emmanuel. Ph.D. May 2010 (A. Sandu main advisor; co-advisor C. Sandu).

Dissertation title: Polynomial Chaos Approaches to Parameter Estimation and Control De-

sign for Mechanical Systems with Uncertain Parameters. (Position: Assistant Professor of

Mechanical Engineering, University of Wollongong, New South Wales, Australia.)

2. Cheng, Haiyan. Ph.D. July 2009. Dissertation title: “Uncertainty Quantification and Uncer-

tainty Reduction Techniques for Large Scale Simulations”. (Position: Associate Professor of

Computer Science, Willamette University, Salem, Oregon.)

1. Constantinescu, Emil Mihai. Ph.D. August 2008. Dissertation title: “Adaptive Numerical

Methods for Large Scale Simulations and Data Assimilation” (Position: Computer Scien-

tist, Mathematics and Computer Science division, Argonne National Laboratory, Chicago,

Illinois.)

Graduated M.S. Students

10. Gou, Tianyi, M.S. Jan. 2010. Thesis: “Computational Tools for Chemical Data Assimilation

with CMAQ”. (Position: Computer Scientist, Qualcomm, La Jolla, California).

9. Eller, Paul, M.S. Aug. 2009. Thesis: “Development and Acceleration of Parallel Chemical

Transport Models”. (Position: Ph.D. student at U. Illinois at Urbana Champaign).

12 Adrian Sandu – Resume (May 31, 2016)

8. Zhang, Lin, M.S. 2007. Thesis: “Large-Scale Simulations Using First and Second Order

Adjoints with Applications in Data Assimilation”. (Position: Computer Scientist, Microsoft,

Seattle, Washington).

7. Srivastava, Anurag, M.S. 2006. Thesis: “Stabilized Explicit Time Integration for Parallel Air

Quality Models”. (Position: Analyst at J.P. Morgan).

6. Belwal, Chaitanya, M.S. 2003. Thesis: “High Resolution Air Quality Simulations”. (Position:

Computer Scientist, EPCON, Houston, Texas).

5. Borden, Christian, M.S. 2003. Thesis: “Numerical Modeling of Aerosols”. (Position: Model

Developer, Signature Research, Calumet, Michigan).

4. Sun, Guowei, M.S. 2003. Thesis: “Community Air Quality Models”.

3. Miehe, Philipp, M.S. 2001. Thesis: “Parallelization of Air Quality Models on Structured

Grids” . (Position: Analyst at Hannover Reinsurance AG in Hannover, Germany).

2. Gopala, Kalpana, M.S. 2000. Thesis: “Analysis of the 1994 Pentium Bug” (Position: Com-

puter Scientist, Guidant, Seattle, Washington).

1. Peechu, Sampath, M.S. 1999. Thesis: “Parallel Implementation of 3D AQMs with Minimal

Communication Costs” .

Other Graduate Students Advised

Students who worked for at least one semester under Sandu’s supervision, but did not obtain a

degree.

– Javidi Kishi, Masoomeh (2014-15). Theme: “Parallel Computing”.

– Chai, Zhi (2014-15). Theme: “Simulation of Multibody Systems”.

– Liu, Zheng (2004-5). Theme: “Discrete Adjoints for Hyperbolic Systems”.

– Miehe, Philipp (2005-7). Theme: “Chemical Data Assimilation”.

– Dean, Ryan (2010). Theme: “Implicit Time-Stepping Methods for Flow Simulations”.

– Lepsa, Bianca (2009-11). Theme: “General Linear Methods”.

Advisee Honors and Awards

– Nino, Elias: his poster “An Efficient Parallel Implementation of the Ensemble Kalman Fil-

ter Based on Inverse Matrix Covariance Estimation” won third place in the HPC poster

competition (out of 38 participants) at VT HPC day, April 6, 2015.

Adrian Sandu – Resume (May 31, 2016) 13

– Attia, Ahmed: 2015 Givens summer fellowship at Argonne National Laboratory, Mathematics

and Computer Science Division.

– Nino, Elias: 2014 summer fellowship at Lawrence Livermore National Laboratory.

– Tranquilli, Paul: 2014 Givens summer fellowship at Argonne National Laboratory, Mathe-

matics and Computer Science Division.

– Attia, Ahmed: 2014 Givens summer fellowship at Argonne National Laboratory, Mathematics

and Computer Science Division.

– Glandon, Ross: 2013–2017 Science, Mathematics, and Research for Transformation (SMART)

Defense Scholarship. Sponsored by U.S. Department of Defense (DoD).

– Rao, Vishwas: 2013 Givens summer fellowship at Argonne National Laboratory, Mathematics

and Computer Science Division.

– Nino, Elias: 2013 Givens summer fellowship at Argonne National Laboratory, Mathematics

and Computer Science Division.

– Glandon, Ross: 2013 summer internship at Lawrence Livermore National Laboratory.

– Rao, Vishwas: 2012 summer internship at Oak Ridge National Laboratory.

– Zhang, Hong: invited participant in the third European-U.S. Summer School on HPC Chal-

lenges in Computational Sciences, June 24-28, 2012, in Dublin, Ireland (https://www.xsede.

org/web/summerschool12/home).

– Zhang, Hong: 2012 Givens summer fellowship at Argonne National Laboratory, Mathematics

and Computer Science Division.

– Ahn, Ted: 2011 summer internship at Pfizer.

– Cioaca, Alexandru: 2011 Givens summer fellowship at Argonne National Laboratory, Math-

ematics and Computer Science Division.

– Linford, John: Outstanding Ph.D. dissertation award, Computer Science Department, Vir-

ginia Tech, 2010.

– Blanchard, Emmanuel: Mechanical Engineering outstanding Ph.D. student (nominated by

ME for CoE outstanding Ph.D. student award), 2010;

– Ahn, Ted: 2010 summer fellowship at Sandia National Laboratory.

– Alexe, Mihai: 2010 Givens summer fellowship at Argonne National Laboratory, Mathematics

and Computer Science Division.

– Cioaca, Alexandru: 2010 Givens summer fellowship at Argonne National Laboratory, Math-

ematics and Computer Science Division.

– Zhang, Hong: 2010 SIParCS summer fellowship at the Institute for Mathematics Applied to

Geosciences, National Center for Atmospheric Research.

14 Adrian Sandu – Resume (May 31, 2016)

– Dean, Ryan: 2010 SIParCS summer fellowship at the Institute for Mathematics Applied to

Geosciences, National Center for Atmospheric Research.

– Alexe, Mihai: 2009 Givens summer fellowship at Argonne National Laboratory, Mathematics

and Computer Science Division.

– Constantinescu, Emil Mihai: 2008–2010 Wilkinson fellowship at Argonne National Labora-

tory, Mathematics and Computer Science Division.

– Eller, Paul: 2008–2011 Science, Mathematics, and Research for Transformation (SMART)

Defense Scholarship. Sponsored by U.S. Department of Defense (DoD). Selected from 2,100

applications.

– Alexe, Mihai: Invited participant to the Rocky Mountain Mathematics Consortium Summer

school on parallel numerical methods for PDEs. Laramie, WY, July 2008.

– Linford, John: CESRI fellowship (summer 2007 travel to Juelich High Performance Comput-

ing Center), 2007.

– Linford, John: 2007–2010 National Defense Science and Engineering Graduate (NDSEG) fel-

lowship. Sponsored by U.S. Department of Defense (DoD). Selected from 3,400 applications.

– Linford, John: Third place at the VT GSA poster competition, April 2007.

– Cheng, Haiyan: Best speaker award, SIAM student VT chapter, April 2007.

– Cheng, Haiyan: Invited participant to the Summer graduate workshop on data assimilation

for the carbon cycle. San Diego, CA, July 2006. Boulder, CO, July 2007.

– Constantinescu, Emil Mihai: 2005 Givens summer fellowship, Argonne National Laboratory,

Mathematics and Computer Science Division.

Adrian Sandu – Resume (May 31, 2016) 15

Research Funding

Current:

1. Title: “Adaptive Solution of Inverse Problems Using Discrete Adjoints”. Sponsor: NSF

CCF (Algorithmic foundations) – 1218454. PI: A. Sandu. Co-PIs: –. Total Funding:

$250,000. Sandu’s Portion: $250,000. Period: 08/2012-08/2014. VT fund: –.

2. Title: “Collaborative Research: Construction, Analysis, Implementation and Application

of New Efficient Exponential Integrators”. Sponsor: NSF DMS–1419003. PI: M. Tok-

man (U.C. Merced). Co-PIs: A. Sandu. Total Funding: $500,000. Sandu’s Portion:

$250,000. Period: 07/2014–07/2018. VT fund: –.

Pending:

• Title: “A Deep-Learning Approach Towards Auto-Tuning CFD Codes”. Sponsor:

AFOSR . PI: W. Feng (VT). Co-PIs: A. Sandu, E. de Sturler (VT), C. Roy (VT), D.

Tafti (VT). Total Funding: $250,000. Sandu’s Portion: $50,000. Period: 08/2016–

07/2017. VT fund: –.

• Title: “CRISP Type 2: Enhancing the Resilience of Interdependent Critical Infrastructure

Systems Using a Common Computational Framework”. Sponsor: NSF CRISP. PI: John

C. Little (VT). Co-PIs: A. Sandu, George Filz (VT), Adrian Rodriguez-Marek (VT), Brian

Wolshon (Louisiana State U.), Liesel A. Ritchie (U. Colorado), Klaus Hubacek (U. Maryland),

Scott C Hagen (Louisiana State U.). Total Funding: $2,500,000. Sandu’s Portion: $.

Period: 08/2016–07–2019. VT fund: –.

• Title: “A Systems Approach for Assessing and Enhancing Sustainability with an Initial

Focus on Food, Energy and Water”. Sponsor: NSF INFEWS. PI: John C. Little (VT). Co-

PIs: A. Sandu. Total Funding: $. Sandu’s Portion: $3,000,000. Period: 08/2016–

07–2019. VT fund: –.

• Title: “Sensitivity Analysis and Optimization of Multibody Dynamical Systems with Dis-

continuities ” Sponsor: NSF CMMI. PI: C. Sandu. Co-PIs: A. Sandu. Total Funding:

$330,000. Sandu’s Portion: $165,000. Period: 08/2016–07–2019. VT fund: –.

declined Title: “III: Small: Optimal Design of Sensor Networks with Application to Monitoring the

Atmosphere”. Sponsor: NSF IIS 1617585. PI: A. Sandu. Co-PIs: –. Total Funding:

$500,000. Sandu’s Portion: $500,000. Period: 08/2016–08–2019. VT fund: –.

• Title: “AF: Small: General Linear Multimethods for the Time Integration of Multiscale

Multiphysics Problems”. Sponsor: NSF CCF 1613905. PI: A. Sandu. Co-PIs: –. Total

16 Adrian Sandu – Resume (May 31, 2016)

Funding: $500,000. Sandu’s Portion: $500,000. Period: 08/2016–08–2019. VT fund:

–.

• Title: “CDS&E: Space-time parallel algorithms for solving PDE-constrained optimization

problems”. Sponsor: NSF ACI 1609241. PI: A. Sandu. Co-PIs: –. Total Funding:

$333,187. Sandu’s Portion: $333,187. Period: 08/2016–08–2019. VT fund: –.

• Title: “II-NEW: mHAT: A Microserver-Equipped Heterogeneous Architecture Testbed”.

Sponsor: NSF CNS 1512939. PI: . Co-PIs:A. Sandu et al. Total Funding: $847,110.

Sandu’s Portion: $150,000. Period: 07/2015–07/2018.

• Title: “A Framework for Quantifying Uncertainty in InfoSymbiotic Systems Arising in At-

mospheric Environments”. Sponsor: AFOSR DDDAS (continuation of the project AFOSR

FA9550–12–1–0293–DEF). PI: A. Sandu. Co-PIs: –. Total Funding: $500,000. Sandu’s

Portion: $500,000. Period: 07/2016–07/2019.

Past:

1. Title: “BRI: Co-Design of Hardware/Software for Predicting Micro-aerial Vehicle Aerody-

namics”. Sponsor: AFOSR 12-2640-06, DoD G&C 23035. PI:. W. Feng (VT) Co-PIs:

A. Sandu, E. de Sturler (VT), D. Tafti (VT), C. Roy (VT). Total Funding: $3,504,556.

Sandu’s Portion: $450,000. Period: 08/2012-08/2015. VT fund: 450169.

2. Title: “Optimal Design of Constrained Multibody Systems”. Sponsor: NSF CMMI–

1130667. PI: C. Sandu. Co-PIs: A. Sandu (Virginia Tech). Total Funding: $398,999.

Sandu’s Portion: $199,500. Period: 08/2011-08/2015. VT fund: –.

3. Title: “A Framework for Quantifying Uncertainty in InfoSymbiotic Systems Arising in

Atmospheric Environments”. Sponsor: AFOSR FA9550–12–1–0293–DEF. PI: A. Sandu.

Co-PIs: –. Total Funding: $315,471. Sandu’s Portion: $315,471. Period: 08/2012–

07/2015. VT fund: 450154.

4. Title: “Collaborative Research: A Multiscale Unified Simulation Environment for Geo-

scientific Applications”. Sponsor: NSF OCI-0904397. PI: A. St-Cyr (NCAR). Co-PIs:

A. Sandu, D. Mavriplis (U. Wyoming). Total Funding: $1,000,000. Sandu’s Portion:

$238,996. Period: 04/2009–03/2013 (extended to 08/2013). VT fund: 478266.

5. Title: “CIF: General Linear Time-stepping Methods for Large Scale Simulations”. Spon-

sor: NSF CCF-0916493. PI: A. Sandu. Co-PIs: N/A. Total Funding: $312,314.

Sandu’s Portion: $312,314. Period: 08/2009-08/2012 (extended to 09/2013). VT fund:

478245.

6. Title: “Collaborative Research: A Computational Framework for Assessing the Observation

Impact in Air Quality Forecasting”. Sponsor: NSF DMS–0915047. PI: A. Sandu. Co-PIs:

Adrian Sandu – Resume (May 31, 2016) 17

D. Daescu (Portland State). Total Funding: $633,018. Sandu’s Portion: $418,616.

Period: 08/2009–09/2013. VT fund: 478105.

7. Title:“Stochastic Models of Cell Cycle Regulation in Eukaryotes”. Sponsor: NIGMS/NIH

5 ROI GM078989. PI: J.J. Tyson. Co-PIs: L.T. Watson, C. Shaffer, A. Sandu, M. Paul,

H. Dankowitz, Y. Cao. Total Funding: $1,290,419. Supplemental Funding, 2009:

$213,620. Supplemental CS Funding, 2010: $143,363 (total CS funding as of Oct 2010 is

$519,624 for Watson, Sandu, Shaffer) Sandu’s Portion: $129,906 (0.25 of total CS funding).

Period: 09/2006–08/2010, extended to 08/2011.

8. Title:“Solution of Inverse Problems with Adaptive Models” Sponsor: NSF CCF–0635194.

PI: A. Sandu. Co-PIs: I.M. Navon (FSU). Total Funding: $350,000. Sandu’s Portion:

$186,143. Period: 01/2007–12/2009, extended to 2010.

9. Title: “HokieSpeed: a Heterogeneous Supercomputer”. Sponsor: NSF. PI: W. Feng Se-

nior personnel: A. Sandu et al. Total Funding: $2,000,000. Sandu’s Portion: N/A.

Period: 2010–2012.

10. Title:“Development of a Sensor-web Operations Explorer” Sponsor: NASA ROSES-2005.

PI: M. Lee. Co-PIs: K. Bowman, A. Sandu, C.F. Miller. Total Funding: $500,000.

Sandu’s Portion: $211,000. Period: 08/2006–08/2009.

11. Title: “Multirate Time Integration Algorithms for Adaptive Simulations of PDEs”. Spon-

sor: NSF CCF–0515170. PI: A. Sandu. Co-PI(s): N/A. Total Funding: $180,000.

Sandu’s Portion: $180,000. Period: 08/2005–08/2008, extended to 08/2009.

12. Title:“Virginia Institute for Performance Engineering and Research – Part II”. Sponsor:

NASA. PI: M. Ahmadian. Co-PI(s): C. Sandu, P. Kachroo, A. Sandu, C. Holton. Total

Funding: $2,770,000. Sandu’s Portion: $138,500 (5%). Period: 04/2007–12/2009.

13. Title:“H98: Air Quality Modeling of TexAQS-II Episodes with Data Assimilation” Spon-

sor: HARC/TCEQ. PI: D. Byun (U. Houston). Co-PIs: A. Sandu, D. Cohan (Rice U.),

T. Ho (Lamar U.). Total Funding: $390,000. Sandu’s Portion: $62,000. Period:

04/2008–08/2009

14. Title:“MISER: A High-Performance, Power-Aware Cluster” Sponsor: NSF CNS–0709025.

PI: K. Cameron. Co-PIs: A. Sandu, D. Nikolopoulos. Total Funding: $450,000. Sandu’s

Portion: $150,000. Period: 07/2007–07/2008

15. Title:“Virginia Institute for Performance Engineering and Research – Part I”. Sponsor:

NASA. PI: M. Ahmadian. Co-PI(s): C. Sandu, P. Kachroo, A. Sandu, C. Holton. Total

Funding: $2,860,000. Sandu’s Portion: $143,000 (5%). Period: 09/2005–03/2007.

16. Title: “CAREER: Development of Computational Methods for the New Generation of Air

Quality Models”. Sponsor: NSF Faculty Early Career Development (CAREER) Award

18 Adrian Sandu – Resume (May 31, 2016)

ACI-0413872 (previously ACI-0093139). PI: A. Sandu. Co-PI(s): N/A. Total Funding:

$325,732 from NSF (plus $153,515 from MTU/VT cost share). Sandu’s Portion: $325,732

from NSF (plus $153,515 from MTU/VT cost share). Period: 08/2001–07/2006.

17. Title:“H59: Improving Air Pollution Emissions using Data Assimilation Techniques”.

Sponsor: Houston Advanced Research Center (HARC). PI: A. Sandu. Co-PI(s): N/A.

Total Funding: $100,000. Sandu’s Portion: $100,000. Period: 01/2006–12/2006.

18. Title:“ITR AP&IM: Development of a General Computational Framework for the Optimal

Integration of Atmospheric CTMs and Measurements Using Adjoints”. Sponsor: NSF-

ITR AP&IM 0205198. PI: G.R. Carmichael. Co-PI(s): A. Sandu, J. Seinfeld, P. Hess, T.

Anderson, D. Daescu. Total Funding: $2,300,000. Sandu’s Portion: $451,711. Period:

08/2002–07/2007.

19. Title:“REU Site: Automotive Technologies at the Technische Universitaet Darmstadt and

Virginia Tech”. Sponsor: NSF REU 0552832. PI: J.H. Bohn. Senior personnel: M.

Ahmadian, C. Sandu, A. Sandu, K. Thole, K. Davis, R. Anderl, D. Tatar, J. Ferris, and S.

Southward. Total Funding: $. Sandu’s Portion: N/A. Period: 08/2006–08/2007.

20. Title:“A Chemical Data Assimilation Test Bed for the Interpretation and Analysis of the

2004 NEAQS/ITCT Observations”. Sponsor: NOAA. PI: G.R. Carmichael. Co-PI(s):

A. Sandu. Total Funding: $250,000. Sandu’s Portion: $127,000. Period: 08/2005–

07/2007.

21. Title:“NSF-REU/CAREER: Development of Computational Methods for the New Genera-

tion of Air Quality Models”. Sponsor: NSF CCF–0530393. PI: A. Sandu. Co-PI(s): N/A.

Total Funding: $6,300. Sandu’s Portion: $6,300. Period: 2005–2006.

22. Title:“Modeling Air Pollution in East Texas”. Sponsor: Houston Advanced Research Cen-

ter (HARC). PI: D. Byun (U. Houston). Co-PI(s): A. Sandu. Total Funding: $500,000.

Sandu’s Portion: $30,000. Period: 01/2006–12/2006.

23. Title: “International Travel Supplement (to visit Technical University Darmstadt)”. Spon-

sor: Virginia Tech. PI: A. Sandu. Co-PI(s): N/A. Total Funding: $2,250. Sandu’s

Portion:$2,250. Period: June 2004.

24. Title: “NUE: Nano-integration- Exploring Nano-Science, Applications, and Implications

with Undergraduates at MTU”. Sponsor: NSF SES 0304439. PI: J.A. Jaszczak. Co-PI(s):

A. Sandu et al. Total Funding: $100,000. Sandu’s Portion: N/A. Period: 2003–2004.

25. Title: Faculty Scholarship Grant. Sponsor: Michigan Technological University, Fund

R00861, Index E29716. PI: A. Sandu. Co-PI(s): N/A. Total Funding: $900. Sandu’s

Portion:$900. Period: 2000.

Adrian Sandu – Resume (May 31, 2016) 19

26. Title: Faculty Scholarship Grant. Sponsor:Michigan Technological University, Fund

R00817, Index E29687. PI: A. Sandu. Co-PI(s): N/A. Total Funding: $1,750. Sandu’s

Portion:$1,750. Period: 1999.

20 Adrian Sandu – Resume (May 31, 2016)

Publications

In the lists of co-authors the students* and postdocs** advised by Sandu are marked by asterisks.

Theses and Dissertations

1. Ph.D. Dissertation in Applied Mathematical and Computational Sciences

Title: “Numerical Aspects of Air Quality Modeling”

Advisors: dr. Florian A. Potra, dr. Gregory R. Carmichael

The University of Iowa, 1997

2. M.S. Thesis in Computer Science

Title: “Sensitivity Analysis of ODE via Automatic Differentiation”

Advisors: dr. Arthur Fleck, dr. Florian A. Potra

The University of Iowa, 1997

3. Electrical and Computer Engineering Diploma Thesis

Title: “Optimal Regulator Design Using H∞ Techniques”

Advisor: dr. Vlad Ionescu

Polytechnic Institute Bucharest, Romania, 1990

Software

1. KPP - The Kinetic PreProcessor (with V. Damian-Iordache, G.R. Carmichael, F.A. Potra

and M. Damian-Iordache). A compiler processing chemical equations and deriving Fortran77,

Fortran90, C, and Matlab simulation code for chemical systems.

• Information and Code: http://people.cs.vt.edu/~asandu/Software/Kpp

• Currently used in academic and research institutions and in industry in United States,

Germany, The Netherlands, France, Italy, Spain, etc.

2. LN algorithm (stochastic multi-step molecular dynamics) implemented in the popular

CHARMM (Chemistry at Harvard Molecular Mechanics) package. LN is now an integral

part of CHARMM versions 27 and above.

• CHARMM home: http://www.lobos.nih.gov/Charmm

• Documentation (mts.doc): http://www.lobos.nih.gov/Charmm/c27n2/mts.html

3. PAQMSG: A Parallelization Library for Air Quality Models on Structured Grids (with P.

Miehe*). An MPI-based communication library for the distribution, gathering, and reparti-

tioning of data for several domain-decomposition strategies.

• Information and Code: http://people.cs.vt.edu/~asandu/Software/Parallel

Adrian Sandu – Resume (May 31, 2016) 21

4. AeroSolve: a Software Package for the Simulation of Aerosol Dynamics.

• Information and Code: http://people.cs.vt.edu/~asandu/Software/AeroSolve

5. DENSERKS: A suite of Fortran sensitivity solvers using continuous, explicit Runge-Kutta

schemes (with M. Alexe*).

• Information and Code: http://people.cs.vt.edu/~asandu/Software/DENSERKS

6. CMAQ-v4.5 ADJOINT. CMAQ v4.5 (the Environmental Protection Agency’s official air qual-

ity model) endowed with adjoint and data assimilation capabilities (with K. Singh*, A. Hakami,

J. Seinfeld, P. Percell, D. Byun).

• Information and Code: http://people.cs.vt.edu/~asandu/Software/CMAQ_ADJ

7. GEOS-CHEM ADJOINT. GEOS-CHEM endowed with adjoint and data assimilation capa-

bilities (with K. Singh*, D. Henze, et al.).

• Information and Code: http://people.cs.vt.edu/~asandu/Software/GC_ADJ

8. FATODE. A library for Forward, Adjoint, and Tangent linear integration of ODEs (with H.

Zhang*).

• Information and Code: http://people.cs.vt.edu/~asandu/Software/FATODE

9. MATLODE. A Matlab library for Forward, Adjoint, and Tangent linear integration of ODEs

(with A. D’Augustine*).

• Information and Code: http://people.cs.vt.edu/~asandu/Software/MATLODE

10. MBSVT. A library for the simulation and optimization of multibody systems (with D.

Dopico**, Y. Zhu*, and C. Sandu).

• Information and Code: http://people.cs.vt.edu/~asandu/Software/MBSVT

• Invention disclosure: VTIP-15-058 Software for modeling, sensitivity analysis, and opti-

mization of multibody systems, Dec. 22, 2014.

Course Notes

1. A. Sandu: “Introduction to Fortran 95 and Numerical Computing”,

http://people.cs.vt.edu/~asandu/Deposit/Fortran95_notes.pdf.

2. A. Sandu: “Introduction to Computer Arithmetic”,

http://people.cs.vt.edu/~asandu/Deposit/comp_arithm.pdf.

Refereed Book Chapters

22 Adrian Sandu – Resume (May 31, 2016)

1. C. Sandu, E.Blanchard*, and A. Sandu: “Application of the Generalized Polynomial Chaos

to the LQR Control Problem with Uncertain Parameters in the Formulation”, Advanced

Autonomous Vehicle Design for Severe Environments, NATO Science for Peace and Security

Series D: Information and Communication Security, Vol. 44, V.V. Vantsevich and M.V.

Blundell editors, pp. 200–221, IOS Press, Amsterdam, Berlin, Tokyo, Washington DC, ISSN

1874-6268, 2015.

2. C. Sandu, L. Li, and A. Sandu: “Treatment of Uncertainties in Multibody Dynamic Systems

Using a Generalized Polynomial Chaos Approach: Case Study on a Full Vehicle”, Advanced

Autonomous Vehicle Design for Severe Environments, NATO Science for Peace and Security

Series D: Information and Communication Security, Vol. 44, V.V. Vantsevich and M.V.

Blundell editors, pp. 184–200, IOS Press, Amsterdam, Berlin, Tokyo, Washington DC, ISSN

1874-6268, 2015.

3. V. Rao* and A. Sandu: “The Impact of Errors in Dynamic Data Driven Applications Sys-

tems”. Dynamic Data Driven Application Systems, 2014.

4. D. Dopico**, A. Sandu, C. Sandu, and Y. Zhu*: “Sensitivity analysis of multibody dynamic

systems modeled by ODEs and DAEs”. Multibody Dynamics: Computational Methods and

Applications, Z. Terze editor, pp. 1–32, Springer Cham Heidelberg New York Dordrecht

London, 2014, 368 p., ISBN: 978-3-319-07259-3 (online)

5. A. Cioaca*, A. Sandu, E. de Sturler, and E. Constantinescu*: “Efficient computation of

observation impact in 4D-Var data assimilation”, in Uncertainty Quantification in Scientific

Computing. A.M. Dienstfrey and R.E. Boisvert, editors. IFIP Advances in Information and

Communication Technology. Springer Heidelberg Dordrecht London New York, pp. 250–263,

2012. 319 p., ISBN: 978-3-642-32676-9. (online)

6. A. Sandu: “Solution of inverse ODE problems using discrete adjoints”, in Large Scale Inverse

Problems and Quantification of Uncertainty. L. Biegler, G. Biros, O. Ghattas, M. Heinken-

schloss, D. Keyes, B. Mallick, L. Tenorio, B. van Bloemen Waanders, and K. Willcox, editors.

John Wiley & Sons, pp. 345–364, 2010. 372 p., ISBN: 978-0-470-69743-6. (online)

7. A. Sandu, T.F. Chai, and G.R. Carmichael: “Integration of Models and Observations: A

Modern Paradigm for Air Quality”, in Modelling of Pollutants in Complex Environments, Vol.

2, Advanced Topics in Environmental Science series. G. Hanrahan editor. ILM Publications,

pp. 419–434, 2010. 468 p., ISBN: 978-1-906799-01-4.

8. A. Sandu : “Reverse Automatic Differentiation of Linear Multistep Methods”, in Advances in

Automatic Differentiation, Lecture Notes in Computational Science and Engineering series,

Vol. 64. C.H. Bischof, H.M. Bucker, P. Hovland, U. Naumann, and J. Utke, editors. Springer,

pp. 1–12, 2008. 370 p. 111 illus. ISBN: 978-3-540-68935-5. (online)

Adrian Sandu – Resume (May 31, 2016) 23

9. A. Sandu: “Time-Stepping Methods that Favor Positivity for Atmospheric Chemistry Model-

ing”, in IMA Volume 130: Atmospheric Modeling. D.P. Chock and G.R. Carmichael editors,

Springer-Verlag, pp. 21–38, 2002.

10. D. Daescu, G.R. Carmichael, and A. Sandu: “Adjoint Implementation of Rosenbrock Meth-

ods Applied to Variational Data Assimilation”. Air Pollution Modeling and its Application

XIV, pp. 361–369, S.E. Gryning and F.A. Schiermeier editors, Springer, 2000. ()

11. G.R. Carmichael, A. Sandu, C.H. Song, S. He, M. Phadnis, D. Daescu, V. Damian-Iordache,

and F.A. Potra: “Computational Challenges of Modeling Interactions between Aerosol and

Gas Phase Processes”, in NATO Advanced Study Institute on Computational Challenges in

Air Pollution Modeling. Z. Zlatev editor, pp. 99-136, 1999.

12. G.R. Carmichael, A. Sandu, F.A. Potra, V. Damian-Iordache, and M. Damian-Iordache: “The

Current State and the Future Directions in Air Quality Modeling”, in Modeling and Simula-

tion of Complex Environmental Problems, A. Sydow, G.R. Carmichael, and G. Korn, editors,

Springer-Verlag, pp. 75–105, 1996.

13. G.R. Carmichael, A. Sandu, F.A. Potra, and V. Damian-Iordache: “An Overview of Sen-

sitivity Analysis for Atmospheric Chemistry Models via Automatic Differentiation”, in Air

Pollution IV - Monitoring, Simulation and Control. B. Caussade, H. Power, and C.A. Breb-

bia, editors, Computational Mechanics Publications, Southampton, Boston, pp. 71–80, 1996.

24 Adrian Sandu – Resume (May 31, 2016)

Journal Papers under Review

j.1) E.D. Nino-Ruiz, A. Sandu, and X. Deng: “A Parallel Implementation of the Ensemble Kalman

Filter Based on Modified Cholesky Decomposition”. Submitted to Journal on Computational

Science, May 2016.

j.2) A.Z. Moosavi*, R. Stefanescu**, and A. Sandu: “Efficient Construction of Local Paramet-

ric Reduced Order Models Using Machine Learning Techniques”. Submitted to Computer

Methods in Applied Mechanics and Engineering, paper CMAME-D-15-01316, Dec. 2015.

j.3) V. Rao*, A. Sandu, M. Ng, and E. Nino*: “Robust Data Assimilation Using L1 and Huber

Norms”. Submitted to SIAM Journal on Scientific Computing, #M104591, Oct. 2015.

j.4) Y. Zhu*, D. Dopico**, C. Sandu, and A. Sandu: “Dynamic Response Optimization of Vehicle

Handling and Ride Comfort Based on Multibody Models Using Adjoint Sensitivity Analysis”.

Submitted to Journal of Mechanical Design, paper MD-15-1626, Sep. 2015.

Journal Papers

J.114) P. Tranquilli*, R. Glandon*, A. Sarshar*, and A. Sandu: “Analytical Jacobian-Vector Prod-

ucts for Matrix-Free Methods”. Journal of Computational and Applied Mathematics, in print,

2016.

J.113) A. Attia*, V. Rao*, and A. Sandu: “A Hybrid Monte-Carlo Sampling Smoother for Four

Dimensional Data Assimilation”. International Journal of Numerical Methods in Fluids, in

print, 2016.

J.112) R. Stefanescu*, and A. Sandu: “Efficient Approximation of Sparse Jacobians for Time-

implicit Reduced Order Models”. International Journal of Numerical Methods in Fluids,

in print, 2016.

J.111) A. Attia*, R. Stefanescu*, and A. Sandu: “The Reduced-Order Hybrid Monte-Carlo Sampling

Smoother”. International Journal of Numerical Methods in Fluids, in print, 2016.

J.110) H. Zhang*, A. Sandu, and S. Blaise: “High Order Implicit–Explicit General Linear Methods

with Optimized Stability Regions”. SIAM Journal on Scientific Computing, in print, 2016.

(arxiv)

J.109) V. Rao* and A. Sandu: “A Time-parallel Approach to Strong-constraint Four-dimensional

Variational Data Assimilation”. Journal of Computational Physics, Vol. 313, pp. 583–593,

2016. (online)

Adrian Sandu – Resume (May 31, 2016) 25

J.108) A.S.Z. Moosavi*, P. Tranquilli*, and A. Sandu: “Solving Stochastic Chemical Kinetics by

Metropolis Hastings Sampling”. Journal of Applied Analysis and Computation, Vol. 6, No.

2, pp. 322–335, 2016. (online)

J.107) E. Nino* and A. Sandu: “A Derivative-Free Trust Region Framework for Variational Data

Assimilation”. Journal of Computational and Applied Mathematics, Vol. 293, pp. 164–179,

2016. (arxiv, online).

J.106) A. Sandu: “Rosenbrock Methods with an Explicit First Stage”. International Journal of

Computer Mathematics, Vol. 93, Issue 6, pp. 995–1010, 2016. (online)

J.105) A. Attia* and A. Sandu: “A Hybrid Monte Carlo Sampling Filter for Non-Gaussian Data

Assimilation”. AIMS Geosciences, Vol. 1, pp. 41–78, 2015. (arxiv,online)

J.104) M. Turner, D. Henze, A. Hakami, S. Capps, S.L. Zhao, J. Resler, G.R. Carmichael, C. Stanier,

J. Baek, A. Sandu, A. Russell, A. Nenes, R. Pinder, S. Napelenok, J. Bash, P. Percell, and T.

Chai: “Premature deaths attributed to source-specific BC emissions in six urban US regions”.

Environmental Research Letters, Vol. 10, Issue 11, pp. 114014, 2015. (online).

J.103) E. Nino* and A. Sandu: “Ensemble Kalman Filter Implementations Based on Shrinkage

Covariance Matrix Estimation”. Ocean Dynamics, Vol. 65, Issue 11, pp. 1423–1439, 2015.

(online, arxiv)

J.102) H. Zhang*, A. Sandu, and P. Tranquilli*: “Application of Approximate Matrix Factoriza-

tion to High-Order Linearly-Implicit Runge-Kutta Methods”. Journal of Computational and

Applied Mathematics, Vol. 286, pp. 196–210, 2015. (online)

J.101) V. Rao* and A. Sandu: “A-posteriori Error Estimates for Inverse Problems”. SIAM/ASA

Journal on Uncertainty Quantification, Vol. 3, No. 1, pp. 737–761, 2015. (online, arxiv)

J.100) M. Gunther and A. Sandu: “Multirate Generalized Additive Runge-Kutta Methods”. Nu-

merische Mathematik, pp. 1–28, 2015. (arxiv, online)

J.99) A.S.Z. Moosavi* and A. Sandu: “Approximate Exponential Algorithms to Solve the Chemical

Master Equation”. Mathematical Modeling of Natural Phenomena, Vol. 20, Issue 3, pp. 382–

395, 2015. (online).

J.98) R. S, tefanescu**, A. Sandu, and I.M. Navon: “POD/DEIM Reduced-order Strategies for Ef-

ficient Four Dimensional Variational Data Assimilation”. Journal of Computational Physics,

Vol. 295, pp. 569–595, 2015. (arxiv)

J.97) M. Turner, D. Henze, A. Hakami, S. Zhao, J. Resler, G.R. Carmichael, C. Stanier, J. Baek,

A. Sandu, A. Russell, A. Nenes, G.-R. Jeong, S. Capps, P. Percell, R. Pinder, S. Napelenok,

J. Bash, Jesse, and T. Chai: “Differences Between Magnitudes and Health Impacts of BC

Emissions Across the U.S. Using 12km Scale Seasonal Source Apportionment”. Environmental

Science & Technology, Vol. 49, No. 7, pp. 4362–4371, 2015. (online)

26 Adrian Sandu – Resume (May 31, 2016)

J.96) Y. Zhu*, D. Dopico**, C. Sandu, and A. Sandu: “Dynamic Response Optimization of Com-

plex Multibody Systems in a Penalty Formulation using Adjoint Sensitivity”. Journal of

Computational and Nonlinear Dynamics, paper CND-14-1268, Vol. 10, No. 3, 031009, 9

pages, 2015. (online)

J.95) T.-H. Ahn*, A. Sandu, and X. Han: “Implicit Simulation Methods for Stochastic Chemical

Kinetics”. Journal of Applied Analysis and Computation, Vol. 5, No. 3, pp. 420–452, 2015.

(online)

J.94) A. Sandu and M. Gunther: “A Generalized-Structure View of Additive Runge-Kutta Meth-

ods”. SIAM Journal on Numerical Analysis, Vol. 53, Issue 1, pp. 17–42, 2015. (arxiv,

online)

J.93) A. Sandu and H. Cheng*: “A Subspace Approach to Data Assimilation and New Opportu-

nities for Hybridization”. International Journal for Uncertainty Quantification, Vol. 5, No.

6, pp. 491–510, 2015.

J.92) P. Tranquilli* and A. Sandu: “Exponential-Krylov Methods for Ordinary Differential Equa-

tions”. Journal of Computational Physics, Vol. 278, pp. 31–46, 2014. (arxiv, online)

J.91) R. S, tefanescu**, A. Sandu, and I.M. Navon: “Comparison of POD Reduced Order Strategies

for the Nonlinear 2D Shallow Water Equations”. International Journal of Numerical Methods

in Fluids, Vol. 76, Issue 8, pp. 497–521, 2014. (arxiv, online)

J.90) E. Zharovsky*, A. Sandu, and H. Zhang*: “A Class of IMEX Two-step Runge-Kutta Meth-

ods”. SIAM Journal on Numerical Analysis, Vol. 53, No. 1, pp. 321–341. (online)

J.89) A. Cioaca* and A. Sandu: “An Optimization Framework to Improve 4D-Var Data Assimila-

tion System Performance”. Journal of Computational Physics, Vol. 275, pp. 377–389, 2014.

(arxiv, online)

J.88) H. Zhang* and A. Sandu: “FATODE: A Library for Forward, Adjoint, and Tangent Linear

Integration of ODEs”. SIAM Journal on Scientific Computing, Vol. 36, No. 5, pp. 504–523,

2014. (online)

J.87) M. Alexe* and A. Sandu: “Space-time Adaptive Solution of Inverse Problems with the Dis-

crete Adjoint Method”. Journal of Computational Physics, Vol. 270, Issue C, pp. 21–39,

2014. (online).

J.86) T.-H. Ahn*, A. Sandu, L.T. Watson, C.A. Shaffer, Y. Cao, and W.T. Baumann: “Parallel

Load Balancing Strategies for Ensembles of Stochastic Biochemical Simulations”. Interna-

tional Journal of Parallel Processing, Vol. 43, Issue 4, pp. 597–630, 2015. (online)

J.85) P. Tranquilli* and A. Sandu: “Rosenbrock-Krylov Methods for Large Systems of Differential

Equations”. SIAM Journal on Scientific Computing, Vol. 36, No. 3, pp. 1313–1338, 2014.

(arxiv, online)

Adrian Sandu – Resume (May 31, 2016) 27

J.84) E. Nino*, A. Sandu, and J.L. Anderson: “An Efficient Implementation of the Ensemble

Kalman Filter Based on an Iterative Sherman-Morrison Formula”. Statistics and Computing,

Vol. 25, Issue 3, pp. 561-577, 2015. (arxiv, online)

J.83) A. Cioaca* and A. Sandu: “Low-rank Approximations for Observation Impact in 4D-Var

Data Assimilation”. Computers and Mathematics with Applications, Vol. 67, Issue 12, pp.

2112–2126, 2014. (arxiv, online)

J.82) A. Cardone, Z. Jackiewicz, A. Sandu, and H. Zhang*: “Extrapolated IMEX Runge-Kutta

Methods”. Mathematical Modelling and Analysis, Vol. 19, No. 1, pp. 18–43, 2014. (online)

J.81) H. Zhang*, A. Sandu, and S. Blaise: “Partitioned and Implicit-Explicit General Linear Meth-

ods for ODEs”. Journal on Scientific Computing, Vol. 61, Issue 1, pp. 119-144, 2014. (arxiv,

online)

J.80) J. Hays*, A. Sandu, C. Sandu, and D. Hong: “Motion Planning of Uncertain Ordinary Dif-

ferential Equation Systems”. Journal of Computational and Nonlinear Dynamics, Paper no.

CND-12-1049, Vol. 9(3), 031021, 2014. (online)

J.79) D. Dopico**, A. Sandu, Y. Zhu*, and C. Sandu: “Direct and Adjoint Sensitivity Analysis of

ODE Multibody Formulations”. Journal of Computational and Nonlinear Dynamics, Paper

No: CND-13-1184, Vol. 10(1), 011012, 2014. Paper CND-13-1184. (online)

J.78) J. Hays*, A. Sandu, C. Sandu, and D. Hong: “Simultaneous Optimal Uncertainty Appor-

tionment and Robust Design Optimization of Systems Governed by Ordinary Differential

Equations”. Paper no. IJMERR-A0339, International Journal of Mechanical Engineering

and Robotics Research, Vol. 3, No. 1, pp. 216–240, 2014. (online)

J.77) A. Sandu: “A Different Look at the Chemical Master Equation”. Numerical Algorithms, Vol.

65, Issue 3, pp. 485–498, 2014. (online)

J.76) A. Cardone, Z. Jackiewicz, A. Sandu, and H. Zhang*: “Extrapolation-Based Implicit-Explicit

General Linear Methods”. Numerical Algorithms, Vol. 65, Issue 3, pp. 377-399, 2014. (arxiv,

online)

J.75) V. Rao* and A. Sandu: “An Adjoint-Based Scalable Algorithm for Time-Parallel Integra-

tion”. Journal of Computational Science, Vol. 5, Issue 2, pp. 76-84, 2014. (online)

J.74) A. Cioaca*, A. Sandu, and E. de Sturler: “Efficient Methods for Computing Observation

Impact in 4D-Var Data Assimilation”. Computational Geosciences, Vol. 17, Issue 6, pp.

975–990, 2013. (online)

J.73) A. Sandu, K. Singh*, M. Jardak**, K.W. Bowman, and M. Lee: “A Practical Method to

Estimate Information Content in the Context of 4D-Var Data Assimilation”. SIAM/ASA

Journal on Uncertainty Quantification, Vol. 1, pp. 106–138, 2013. (online)

28 Adrian Sandu – Resume (May 31, 2016)

J.72) E.M. Constantinescu* and A. Sandu: “Extrapolated Multirate Methods for Differential Equa-

tions with Multiple Time Scales”. Journal of Scientific Computing, Vol. 56, Issue 1, pp.

28–44, 2013. (online)

J.71) J. Hays*, A. Sandu, C. Sandu, and D. Hong: “Parametric Design Optimization of Uncer-

tain Ordinary Differential Equation Systems”. Paper no. MD-11-1266, ASME Journal of

Mechanical Design, Vol. 134, Issue 8, 081003 (14 pages), 2012. (online)

J.70) A. Cioaca*, M. Alexe, and A. Sandu: “Second Order Adjoints for Solving PDE-Constrained

Optimization Problems”. Optimization Methods and Software, Volume 27, Issue 4-5, pp.

625–653, 2012. (online)

J.69) K. Singh* and A. Sandu: “Variational Chemical Data Assimilation with Approximate Ad-

joints”. Computers & Geosciences, Vol. 40, pp. 10–18, 2012. (online)

J.68) A. Sandu, E.M. Constantinescu*, G.R. Carmichael, T. Chai, D. Daescu, and J.H. Seinfeld:

“Ensemble Methods for Dynamic Data Assimilation of Chemical Observations in Atmospheric

Models”. Journal of Algorithms and Computational Technology, Vol. 5, No. 4, DDDAS issue,

pp. 667–692, 2011. (online)

J.67) H. Zhang*, J.C. Linford*, A. Sandu, and R. Sander: “Chemical Mechanism Solvers in Air

Quality Models”. Atmosphere, Vol. 2, pp. 510–532, 2011. (online)

J.66) A. Sandu and T.F. Chai: “Chemical Data Assimilation – an Overview”. Atmosphere, Vol. 2,

No. 3, pp. 426–463, 2011. (online)

J.65) T.Y. Gou* and A. Sandu: “Continuous versus Discrete Advection Adjoints in Chemical Data

Assimilation with CMAQ”. Atmospheric Environment, Vol. 45, Issue 28, pp. 4868–4881,

2011. (online)

J.64) R. Sander, A. Baumgaertner, S. Gromov, H. Harder, P. Jockel, A. Kerkweg, D. Kubistin,

E. Regelin, H. Riede, A. Sandu, D. Taraborrelli, H. Tost, and Z.-Q. Xie: “The atmospheric

chemistry box model CAABA/MECCA-3.0”. Geoscientific Model Development, Vol. 4, pp.

373–380, 2011. (online)

J.63) K. Singh*, M. Jardak**, A. Sandu, K. Bowman, M. Lee, and D. Jones: “Construction of Non-

diagonal Background Error Covariance Matrices for Global Chemical Data Assimilation”.

Geoscientific Model Development, Vol. 4, pp. 299–314, 2011. (online)

J.62) J.C. Linford*, J. Michalakes, M. Vaccharajani, and A. Sandu: “Automatic Generation of

Multi-Core Chemical Kernels”. IEEE Transactions on Parallel and Distributed Systems, Vol.

22, Issue 1, pp. 119–131, 2011. (online)

J.61) A. Sandu and P. Miehe*: “Forward, Tangent Linear, and Adjoint Runge Kutta Methods in

KPP–2.2 for Efficient Chemical Kinetic Simulations”. International Journal of Computer

Mathematics, Vol. 87, Issue 11, pp. 2458–2479, September 2010. (online)

Adrian Sandu – Resume (May 31, 2016) 29

J.60) E.M. Constantinescu* and A. Sandu: “Optimal Explicit Strong Stability Preserving General

Linear Methods”. SIAM Journal on Scientific Computing, Vol. 32, Issue 5, pp. 3130–3150,

2010. (online)

J.59) E. Blanchard*, A. Sandu, and C. Sandu: “PSM: A Polynomial Chaos-Based Kalman Filter

Approach for Parameter Estimation of Mechanical Systems”. Journal of Dynamic Systems

Measurement and Control, Volume 132, Issue 6, 061404 (18 pages), 2010. (online)

J.58) J.C. Linford* and A. Sandu: “Scalable Heterogeneous Parallelism for Atmospheric Modeling

and Simulation”. Journal of Supercomputing, pp. 1–28, 2010. (online)

J.57) E.M. Constantinescu* and A. Sandu: “Extrapolated Implicit-Explicit Time Stepping”. SIAM

Journal on Scientific Computing, Vol. 31, Issue 6, pp. 4452–4477, 2010. (online).

J.56) H. Cheng*, M. Jardak**, M. Alexe*, and A. Sandu: “A Hybrid Approach to Estimating Error

Covariances in Variational Data Assimilation”. Tellus Series A – Dynamic Meteorology and

Oceanography, Vol. 62, Issue A, pp. 288–297, 2010. (online)

J.55) M. Alexe* and A. Sandu: “On the Discrete Adjoints of Variable Step Time Integrators”.

Journal of Computational and Applied Mathematics, Vol. 233, Issue 4, pp. 1005–1020, 2009.

(online)

J.54) E. Blanchard*, A. Sandu, and C. Sandu: “Polynomial Chaos Based Parameter Estimation

Methods for Vehicle Systems”. Journal of Multi-body Dynamics, Vol. 224, pp. 59–81, 2010.

(online)

J.53) T. Chai, G.R. Carmichael, Y. Tang, and A. Sandu: “Regional NOX emission inversion

through a four-dimensional variational approach using SCIAMACHY tropospheric NO2 col-

umn observations”. Atmospheric Environment, Vol. 43, Issue 32, pp. 5046–5055, 2009.

(online)

J.52) P. Eller*, K. Singh*, A. Sandu, K. Bowman, D.K. Henze, and M. Lee: “Implementation

and Evaluation of an Array of Chemical Solvers in a Global Chemical Transport Model”.

Geophysical Model Development, Vol. 2, pp. 1–7, 2009. (online)

J.51) H. Cheng* and A. Sandu: “Efficient Uncertainty Quantification with the Polynomial Chaos

Method for Stiff Systems”. Computers and Mathematics with Applications, Vol. 79, Issue 11,

pp. 3278–3295, 2009. (online)

J.50) E. Blanchard*, A. Sandu, and C. Sandu: “Parameter Estimation for Mechanical Systems

via an Explicit Representation of Uncertainty”. Engineering Computations. International

Journal for Computer-Aided Engineering and Software, Vol. 26, Issue 5, pp. 541–569, 2009.

(online)

30 Adrian Sandu – Resume (May 31, 2016)

J.49) H. Cheng* and A. Sandu: “Uncertainty Quantification in 3D Air Quality Models using Poly-

nomial Chaoses”. Environmental Modeling and Software, Vol. 24, Issue 8, pp. 917–925, 2009.

(online)

J.48) M. Alexe* and A. Sandu: “Forward and Adjoint Sensitivity Analysis with Continuous Explicit

Runge-Kutta schemes”. Applied Mathematics and Computation, Vol. 208, No. 2, pp. 328–

346, 2009. (online)

J.47) A. Sandu and E.M. Constantinescu*: “Multirate Explicit Adams Methods for Time Integra-

tion of Conservation Laws”. Journal of Scientific Computing, Vol. 38, No. 2, pp. 229–249,

2009. (online)

J.46) L. Zhang*, E.M. Constantinescu*, A. Sandu, Y. Tang, T. Chai, G.R. Carmichael, D. Byun,

E. Olaguer: “An Adjoint Sensitivity Analysis and 4D-Var Data Assimilation Study of Texas

Air Quality”. Atmospheric Environment, Vol. 42, Issue 23, pp. 5787–5804, 2008. (online)

J.45) A. Sandu and L. Zhang*: “Discrete Second Order Adjoints in Atmospheric Chemical Trans-

port Modeling”. Journal of Computational Physics, Vol. 227, Issue 12, pp. 5949–5983, 2008.

(online)

J.44) E.M. Constantinescu*, A. Sandu, and G.R. Carmichael: “Modeling Atmospheric Chemistry

and Transport with Dynamic Adaptive Resolution”. Computational Geosciences, Vol. 12,

No. 2, p. 133–151, 2008. (online)

J.43) Z. Liu* and A. Sandu: “Analysis of Discrete Adjoints of Numerical Methods for the Advection

Equation”. International Journal for Numerical Methods in Fluids, Vol. 56, Issue 7, pp. 769–

803, 2008. (online)

J.42) C. Sandu, A. Sandu, B. Chan, and M. Ahmadian: “A Response Spectral Decomposition

Approach for the Control of Nonlinear Mechanical Systems”. International Journal of Heavy

Vehicle Systems, Vol. 15, No 1, pp. 27-52, 2008. (online)

J.41) G.R. Carmichael, A. Sandu, T. Chai, D. Daescu, E.M. Constantinescu*, and Y. Tang: “Pre-

dicting Air Quality: Improvements through Advanced Methods to Integrate Models and Mea-

surements”. Journal of Computational Physics (Special issue on predicting weather, climate

and extreme events), Vol. 227, Issue 7, pp. 3540–3571, 2008. (online)

J.40) A. Hakami, D.K. Henze, J.H. Seinfeld, K. Singh*, A. Sandu, S. Kim, D. Byun, and Q. Li:

“The Adjoint of CMAQ”. Environmental Science and Technology, Vol. 41, No. 22, pp.

7807–7817, 2007. (online)

J.39) E.M. Constantinescu* and A. Sandu: “Multirate Timestepping Methods for Hyperbolic Con-

servation Laws”. Journal of Scientific Computing, Vol. 33, Issue 3, pp. 239–278, 2007.

(online)

Adrian Sandu – Resume (May 31, 2016) 31

J.38) E.M. Constantinescu*, T. Chai, A. Sandu, and G.R. Carmichael: “Autoregressive Models of

Background Errors for Chemical Data Assimilation”. Journal of Geophysical Research, Vol.

112, D12309, 2007. (online)

J.37) E.M. Constantinescu*, A. Sandu, T. Chai, and G.R. Carmichael: “Ensemble-based Chemical

Data Assimilation. I: General Approach”. Quarterly Journal of the Royal Meteorological

Society, Vol. 133, Issue 626, pp. 1229–1243, Online ISSN: 1477-870X, Print ISSN: 0035-9009,

July 2007 Part A. (online)

J.36) E.M. Constantinescu*, A. Sandu, T. Chai, and G.R. Carmichael: “Ensemble-based Chemical

Data Assimilation. II: Covariance Localization”. Quarterly Journal of the Royal Meteorolog-

ical Society, Vol. 133, Issue 626, pp. 1245–1256, Online ISSN: 1477-870X, 14 pages, Print

ISSN: 0035-9009, July 2007 Part A. (online)

J.35) T. Chai, G.R. Carmichael, Y. Tang, A. Sandu, M. Hardesty, P. Pilewskie, S. Whitlow, E.V.

Browell, M.A. Avery, V. Thouret, P. Nedelec, J.T. Merrill, and A.M. Thomson: “Four Di-

mensional Data Assimilation Experiments with ICARTT (International Consortium for At-

mospheric Transport and Transformation) Ozone Measurements”. Journal of Geophysical

Research, Vol. 112, D12S15, 18 pages, 2007. ( online)

J.34) E.M. Constantinescu*, A. Sandu, T. Chai, and G.R. Carmichael: “Assessment of Ensemble-

based Chemical Data Assimilation in an Idealized Setting”. Atmospheric Environment, Vol.

41, Issue 1, pp. 18–36, 2007. (online)

J.33) A. Hakami, J.H. Seinfeld, T. Chai, Y. Tang, G.R. Carmichael, and A. Sandu: “Adjoint Sensi-

tivity Analysis of Ozone Non-attainment over the Continental United States”. Environmental

Science and Technology, Vol. 40, No. 12, pp. 3855-3864, 2006. (online)

J.32) C. Sandu, A. Sandu, and L. Li: “Modeling of Stochastic Terrain Profiles and Soil Parameters”,

SAE 2005 Transactions Journal of Commercial Vehicles, Vol. V114-2, Paper number 2005-

01-3559, pp. 211–220, Feb. 2006. (online)

J.31) T. Chai, G. R. Carmichael, A. Sandu, Y. Tang, and D.N. Daescu: “Chemical data assimilation

of Transport and Chemical Evolution over the Pacific (TRACE-P) aircraft measurements”,

Journal of Geophysical Research, Vol. 111, D02301, 18 pages, 2006. (online)

J.30) A. Sandu and R. Sander: “Simulating Chemical Kinetic Systems in Fortran90 and Matlab

with the Kinetic PreProcessor KPP-2.1”. Atmospheric Chemistry and Physics, Vol. 6, pp.

187–195, 2006. (online)

J.29) A. Sandu: “Piecewise Polynomial Solutions of Aerosol Dynamics”, Aerosol Science and Tech-

nology, Vol. 40, pp. 1–13, 2006. (online)

32 Adrian Sandu – Resume (May 31, 2016)

J.28) W. Liao**, A. Sandu, G.R. Carmichael, and T. Chai: “Total Energy Singular Vector Analysis

for Atmospheric Chemical Transport Models”. Monthly Weather Review, Vol. 134, No. 9,

pp. 2443–2465, 2006. (online)

J.27) A. Sandu, C. Sandu, and M. Ahmadian: “Modeling Multibody Dynamic Systems With Un-

certainties. Part I: Theoretical and Computational Aspects”. Multibody System Dynamics,

Vol. 15, No. 4, pp. 369–391, 2006. (online)

J.26) C. Sandu, A. Sandu, and M. Ahmadian: “Modeling Multibody Dynamic Systems With Un-

certainties. Part II: Numerical Applications”. Multibody System Dynamics, Vol. 15, No. 3,

pp. 245–266, 2006. (online)

J.25) A. Hakami, D.K. Henze, J.H. Seinfeld, T. Chai, Y. Tang, G.R. Carmichael, and A. Sandu:

“Adjoint Inverse Modeling of Black Carbon During ACE-Asia”. Journal of Geophysical Re-

search, Vol. 110, No. D14, D14301, 25 pages, 2005. (online)

J.24) A. Sandu, W. Liao**, G.R. Carmichael, D.K. Henze, and J.H. Seinfeld: “Inverse Modeling

of Aerosol Dynamics using Adjoints – Theoretical and Numerical Considerations”, Aerosol

Science and Technology, Vol. 39, pp. 1–18, 2005. (online)

J.23) A. Sandu, D.N. Daescu, G.R. Carmichael, and T. Chai: “Adjoint Sensitivity Analysis of

Regional Air Quality Models”, Journal of Computational Physics, Vol. 204, pp. 222–252,

2005. (online)

J.22) D.K. Henze, J.H. Seinfeld, W. Liao**, A. Sandu, G.R. Carmichael: “Inverse Modeling of

Aerosol Dynamics: Condensational Growth”, Journal of Geophysical Research, Vol. 109, No.

D14, D14201, 14 pages, July 2004. (online)

J.21) Y. Tang, G.R. Carmichael, J.H. Seinfeld, D. Dabdub, R.J. Weber, B. Huebert, A.D. Clarke,

S.A. Guazzotti, D.A. Sodeman, K.A. Prather, I. Uno, J.H. Woo, D.G. Streets, P. K. Quinn,

J.E. Johnson, C.H. Song, A. Sandu, R.W. Talbot, and J.E. Dibb: “Three-dimensional Studies

of Aerosol Ions and Their Size Distribution in East Asia During Spring 2001”. Journal of

Geophysical Research - Atmospheres, Vol. 109, No. D19, D19S23, 32 pages, July 2004.

(online)

J.20) Y. Tang, G.R. Carmichael, L.W. Horowitz, I. Uno, J.H. Woo, D.G. Streets, D. Dabdub, G.

Kurata, A. Sandu, J. Allan, E. Atlas, F. Flocke, L.G. Huey, R.O. Jakoubek, D.B. Millet, D.D.

Parrish, P.K. Quinn, J.M. Roberts, T.B. Ryerson, E. Williams, J.B. Nowak, D. Worsnop, A.

Goldstein, S. Donnelly, S. Schauffler, V. Stroud, K. Johnson, M.A. Avery, H.B. Singh, and

E.C. Apel: “Multi-scale Simulations of Tropospheric Chemistry in the Eastern Pacific and

US West Coast during Spring 2002”, Journal of Geophysical Research - Atmospheres, Vol.

109, No. D23, D23S11, 25 pages, August 2004. (online)

Adrian Sandu – Resume (May 31, 2016) 33

J.19) A. Sandu, D. Negrut, E. Haug, F.A. Potra, and C. Sandu: “A Rosenbrock-Nystrom State

Space Implicit Method for the Dynamic Analysis of Mechanical Systems: I – Theoretical

Development”. Journal of Multibody Dynamics, Vol. 217, No. K4, pp. 263–272, 2003.

(online)

J.18) D. Negrut, A. Sandu, E. Haug, F.A. Potra, and C. Sandu: “A Rosenbrock-Nystrom State

Space Implicit Method for the Dynamic Analysis of Mechanical Systems: II – The Method

and Numerical Results”. Journal of Multibody Dynamics, Vol. 217, No. K4, p. 273–282,

2003. (online)

J.17) A. Sandu, D. Daescu, and G.R. Carmichael: “Direct and Adjoint Sensitivity Analysis of

Chemical Kinetic Systems with KPP: I – Theory and Software Tools”, Atmospheric Environ-

ment, Vol. 37, pp. 5083–5096, 2003. (online)

J.16) D. Daescu, A. Sandu, and G.R. Carmichael: “Direct and Adjoint Sensitivity Analysis of

Chemical Kinetic Systems with KPP: II – Validation and Numerical Experiments”, Atmo-

spheric Environment, Vol. 37, pp. 5097–5114, 2003. (online)

J.15) A. Sandu and C. T. Borden: “A Framework for the Numerical Treatment of Aerosol Dynam-

ics”, Applied Numerical Mathematics, No. 45, pp. 475–497, 2003. (online)

J.14) V. Damian, A. Sandu, M. Damian, F. Potra, and G.R. Carmichael: “The Kinetic PreProces-

sor KPP – A Software Environment for Solving Chemical Kinetics”, Computers and Chemical

Engineering, Vol. 26, No. 11, p. 1567–1579, 2002. (online)

J.13) P. Miehe*, A. Sandu, G.R. Carmichael, Y. Tang, and D. Daescu: “A Communication Library

for the Parallelization of Air Quality Models on Structured Grids”, Atmospheric Environment,

Vol. 36, No. 24, pp. 3917–3930, 2002. (online)

J.12) A. Sandu: “A Newton-Cotes Quadrature Approach for Solving the Aerosol Coagulation Equa-

tion”, Atmospheric Environment, Vol. 36, No. 3, pp. 583–589, 2002. (online)

J.11) A. Sandu: “Positive Numerical Integration Methods for Chemical Kinetic Systems”, Journal

of Computational Physics, Vol. 170, pp. 1–14, 2001. (online)

J.10) D. Daescu, G.R. Carmichael, and A. Sandu: “Adjoint Implementation of Rosenbrock Meth-

ods Applied to Variational Data Assimilation Problems”, Journal of Computational Physics,

Vol. 165, pp. 496–510, 2000. (online)

J.9) S. He, G.R. Carmichael, A. Sandu, B. Hotchkiss, and V. Damian-Iordache: “Application of

ADIFOR for Air Pollution Model Sensitivity Studies”, Environmental Modeling and Software,

Vol. 15, pp. 549–557, 2000. (online)

J.8) G.R. Carmichael, A. Sandu, C.H. Song, S. He, M. Phadnis, D. Daescu, V. Damian-Iordache,

and F.A. Potra: “Computational Challenges of Modeling Interactions between Aerosol and

34 Adrian Sandu – Resume (May 31, 2016)

Gas Phase Processes in Large Scale Air Pollution Models”, Environmental Management and

Health, Vol. 10/4, pp. 224–235, 1999. (online)

J.7) A. Sandu, and T. Schlick: “Masking Resonance Artifacts in Force-Splitting Methods for

Biomolecular Simulations by Extrapolative Langevin Dynamics”, Journal of Computational

Physics, Vol. 151, No. 1, pp. 74–113, 1999. (online)

J.6) A. Sandu, J.G. Verwer, J.G. Blom, E.J. Spee, G.R. Carmichael and F.A. Potra: “Bench-

marking Stiff ODE Solvers for Atmospheric Chemistry Problems II: Rosenbrock Methods”,

Atmospheric Environment, Vol. 31, pp. 3459–3472, 1997. (online)

J.5) A. Sandu, J.G. Verwer, M. van Loon, G.R. Carmichael, F.A. Potra, D. Dabdub, and J.H.

Seinfeld : “Benchmarking Stiff ODE Solvers for Atmospheric Chemistry Problems I: Implicit

versus Explicit”, Atmospheric Environment, Vol. 31, pp. 3151–3166, 1997. (online)

J.4) L.O. Jay, A. Sandu, F.A. Potra, and G.R. Carmichael: “Improved QSSA Methods for Atmo-

spheric Chemistry Integration”, SIAM Journal on Scientific Computing, Vol. 18, Issue 1, p.

182–202, 1997. (online)

J.3) G.R. Carmichael, A. Sandu, F.A. Potra, and V. Damian-Iordache: “Sensitivity Analysis for

Atmospheric Chemistry Models via Automatic Differentiation”, Atmospheric Environment,

Vol. 31, No. 3, pp. 475–489, 1997. (online)

J.2) G.R. Carmichael, A. Sandu, F.A. Potra, V. Damian-Iordache, and M. Damian-Iordache: “The

Current State and the Future Directions in Air Quality Modeling”, Systems Analysis Mod-

elling Simulation (currently named International Journal of Systems Science), Vol. 25, pp.

75–105, 1996. (online)

J.1) A. Sandu, F.A. Potra, V. Damian-Iordache, and G.R. Carmichael: “Efficient Implementation

of Fully Implicit Methods for Atmospheric Chemistry”, Journal of Computational Physics,

Vol. 129, pp. 101–110, 1996. (online)

Conference Papers Under Review

Conference Papers

C.85) E. Nino*, A. Sandu, and X. Deng: “Ensemble Kalman filter based on modified Cholesky

decomposition”, ScalA ’15 Proceedings of the 6th Workshop on Latest Advances in Scalable

Algorithms for Large-Scale Systems. Article No. 4, Supercomputing’15, Austin, Texas, 2015.

(online).

Adrian Sandu – Resume (May 31, 2016) 35

C.84) M. Gunther, C. Hachtel, and A. Sandu: “Multirate GARK Schemes for Multiphysics Prob-

lems”, paper id82, the 10th International Conference on Scientific Computing in Electrical

Engineering SCEE 2014, Wuppertal, Germany, July 22 - July 25, 2014. Scientific Computing

in Electrical Engineering, Series: The European Consortium for Mathematics in Industry,

Vol. 23, Editors: Bartel, A., Clemens, M., Gnther, M., ter Maten, E.J.W., pp. 115–121,

Springer 2016. (online).

C.83) V. Rao* and A. Sandu: “Parallel solution of DDDAS variational inference problems”, paper

449, International Conference on Computational Science ICCS 2015, Iceland. Procedia Com-

puter Science Volume 51, 2015, pp. 2474–2482, International Conference On Computational

Science, ICCS 2015 - Computational Science at the Gates of Nature, edited By Slawomir

Koziel, Leifur Leifsson, Michael Lees, Valeria V. Krzhizhanovskaya, Jack Dongarra and Peter

M.A. Sloot. (online)

C.82) S. Corner*. C. Sandu, A. Sandu: “Dynamic Simulation and Sensitivity Analysis of a Bipedal

Robot with Contact Friction”, Ref: 203, ECCOMAS Thematic Conference on Multibody

Dynamics 2015.

C.81) A. Cardone, Z. Jackiewicz, A. Sandu, and H. Zhang*: “Implicit-Explicit Multivalue Methods

for Semi-discretized PDEs”. The 10th AIMS Conference on Dynamical Systems Differential

Equations and Applications, Madrid (Spain) July 7-11, 2014. AIMS Proceeding, supplement

of Discrete & Continuous Dynamical Systems - Series S.

C.80) A. Attia*, V. Rao*, and A. Sandu: “A Sampling Approach or Four Dimensional Data As-

similation”. Dynamic Data-driven Environmental Systems Science Conference DyDESS 2014,

Nov 5–7, Massachusetts Institute of Technology, Cambridge, Massachusetts. Revised Selected

Papers in Lecture Notes in Computer Science, vol. 8964, Springer International Publishing

AG Switzerland, DOI 10.1007/978-3-319-25138-7, pp. 215–226.

C.79) E. Nino* and A. Sandu: “A Derivative-Free Trust Region Framework for Variational Data

Assimilation”. Dynamic Data-driven Environmental Systems Science Conference DyDESS

2014, Nov 5–7, Massachusetts Institute of Technology, Cambridge, Massachusetts. Revised

Selected Papers in Lecture Notes in Computer Science, vol. 8964, Springer International

Publishing AG Switzerland, DOI 10.1007/978-3-319-25138-7, pp. 239–250.

C.78) H. Zhang* and A. Sandu: “Application of implicit-explicit general linear methods to reaction-

diffusion problems”, 4 pg., 12th International Conference of Numerical Analysis and Applied

Mathematics ICNAAM 2014, Rodos Palace Hotel, Rhodes,Greece, September 22–28 2014.

C.77) Y. Zhu*, D. Dopico**, C. Sandu, and A. Sandu: “MBSVT: Software for Modeling, Sensi-

tivity Analysis, and Optimization of Multibody Dynamic Systems at Virginia Tech”. Paper

DETC2014-34084, Second Biennial International Conference on Dynamics for Design (DFD),

Topic: DFD-5 Computational DFD Tools and Methodologies, IDETC/CIE 2014, Buffalo,

New York, August 17–20, 2014.

36 Adrian Sandu – Resume (May 31, 2016)

C.76) D. Dopico**, Y. Zhu*, A. Sandu, C. Sandu: “Second Order Sensitivities of the Dynamic

Response of Multibody Systems with Penalty Formulations.” The 3rd Joint International

Conference on Multibody System Dynamics. The 7th Asian Conference on Multibody Dy-

namics, June 30–July 3, 2014, BEXCO, Busan, Korea.

C.75) V. Rao* and A. Sandu: “A-posteriori Error Estimates for DDDAS Inference Problems”, In-

ternational Conference on Computational Science ICCS 2014, Cairns, Australia, June 10–

12 2014. Procedia Computer Science, vol 29, 2014, pp. 1256–1265, 2014 International

Conference on Computational Science, edited By David Abramson, Michael Lees, Valeria

Krzhizhanovskaya, Jack Dongarra and Peter M.A. Sloot. (online)

C.74) A. Sandu, A. Cioaca*, and V. Rao*: “Dynamic Sensor Network Configuration in InfoSymbi-

otic Systems using Model Singular Vectors”, International Conference on Computational Sci-

ence, ICCS 2013, Barcelona, Spain. Procedia Computer Science Volume 18, 2013, pp. 1909–

1918, 2013 International Conference on Computational Science, edited By Vassil Alexandrov,

Michael Lees, Valeria Krzhizhanovskaya, Jack Dongarra and Peter M.A. Sloot. (online)

C.73) D. Dopico**, Zhu*, Y., A. Sandu, and Sandu, C.: “Direct and Adjoint Sensitivity Analysis

of Multibody Systems Using Maggi’s Equations”, Paper no. DETC2013-12696, 10 pg., Proc.

of ASME 2013 IDETC/CIE 9th Int. Conf. on Multibody Systems and Nonlinear Dynamics

(MSND), Aug. 4-7, 2013, Portland, OR.

C.72) Y. Zhu*, Y., Dopico , D., Sandu, C., and A. Sandu: “Sensitivity Analysis of Vehicle Dy-

namics based on Multibody Models”, Paper no. DETC2013-13212, # pg., Proc. of ASME

2013 IDETC/CIE Proc. of ASME 2013 IDETC/CIE 15th Int. Conf. on Advance Vehicle

Technologies (AVT), Aug. 4-7, 2013, Portland, OR.

C.71) D. Dopico , Zhu*, Y., A. Sandu. and Sandu, C.: “Index-1 and Index-3 Adjoint DAE Equa-

tions for the Sensitivity Analysis of Multibody Systems”, Paper no. 208, # pg., Proc. of

ECCOMAS, Multibody Dynamics 2013, July 1-4, 2013, Zagreb, Croatia.

C.70) Y. Zhu*, Y., Dopico , D., Sandu. C, and A. Sandu: “Adjoint Second Order ODE for The

Computation of First Order Sensitivities in Multibody Dynamics”, Paper no. 236, # pg.,

Proc. of ECCOMAS, Multibody Dynamics 2013, July 1-4, 2013, Zagreb, Croatia.

C.69) A. Sandu and A. St-Cyr: “Stability Analysis of the Matrix-Free Linearly Implicit Euler

Method”. Domain Decomposition Methods in Science and Engineering, R. Bank, M. Holst,

O. Widlund, and J. Xu editors, Lecture notes in computational science and engineering Vol.

91, pp. 403–410, 2013.

C.68) V. Rao*, A. Cioaca*, and A. Sandu: “A Highly Scalable Approach for Time Parallelization

of Long Range Forecasts”. High Performance Computing, Networking, Storage and Analy-

sis (SCC), 2012 SC Companion, Supercomputing, Salt Lake City, Utah, 10-16 Nov. 2012.

(online)

Adrian Sandu – Resume (May 31, 2016) 37

C.67) V. Rao* and A. Sandu: “An adjoint based implementation of the Parareal algorithm”, Atmo-

spheric and Oceanic Computational Science Workshop, International Conference on Compu-

tational Science ICCS 2012 ”Empowering Science through Computing”, Omaha, Nebraska,

June 4–6, 2012. Procedia Computer Science Volume 9, pp. 1021-1029, Proceedings of the

International Conference on Computational Science, ICCS 2012, edited By Hesham Ali, Yong

Shi, Deepak Khazanchi, Michael Lees, G. Dick van Albada, Jack Dongarra, Peter M.A. Sloot

and Jack Dongarra. (online).

C.66) H. Zhang* and A. Sandu: “A second-order diagonally-implicit-explicit multi-stage integration

method”, Atmospheric and Oceanic Computational Science Workshop, International Con-

ference on Computational Science ICCS 2012 ”Empowering Science through Computing”,

Omaha, Nebraska, June 4–6, 2012. Procedia Computer Science Volume 9, pp. 1039-1046,

Proceedings of the International Conference on Computational Science, ICCS 2012, edited By

Hesham Ali, Yong Shi, Deepak Khazanchi, Michael Lees, G. Dick van Albada, Jack Dongarra,

Peter M.A. Sloot and Jack Dongarra. (online).

C.65) A. Sandu and K. Singh*: “Information Theoretic Metrics to Characterize Observations in

Variational Data Assimilation”, Atmospheric and Oceanic Computational Science Workshop,

International Conference on Computational Science ICCS 2012 ”Empowering Science through

Computing”, Omaha, Nebraska, June 4–6, 2012. Procedia Computer Science Volume 9,

pp. 1047-1055, Proceedings of the International Conference on Computational Science, ICCS

2012, edited By Hesham Ali, Yong Shi, Deepak Khazanchi, Michael Lees, G. Dick van Albada,

Jack Dongarra, Peter M.A. Sloot and Jack Dongarra. (online).

C.64) E.D. Nino Ruiz*, A. Sandu, and J.L. Anderson: “An Efficient Implementation of the Ensem-

ble Kalman Filter Based on Iterative Sherman Morrison Formula”, Atmospheric and Oceanic

Computational Science Workshop, International Conference on Computational Science ICCS

2012 ”Empowering Science through Computing”, Omaha, Nebraska, June 4–6, 2012. Proce-

dia Computer Science Volume 9, pp. 1064–1072, Proceedings of the International Conference

on Computational Science, ICCS 2012, edited By Hesham Ali, Yong Shi, Deepak Khazanchi,

Michael Lees, G. Dick van Albada, Jack Dongarra, Peter M.A. Sloot and Jack Dongarra.

(online).

C.63) J. Hays*, A. Sandu, C. Sandu, and D. Hong: “Parametric Design Optimization of Uncertain

Ordinary Differential Equation Systems”. Paper IMECE2011-62789, accepted at ASME 2011

International Mechanical Engineering Congress & Exposition IMECE2011, November 11-17,

2011, Denver, Colorado, USA.

C.62) J. Hays*, A. Sandu, C. Sandu, and D. Hong: “Motion Planning of Uncertain Fully-Actuated

Dynamical SystemsA Hybrid Dynamics Formulation”. Paper IMECE2011-62694, accepted

at ASME 2011 International Mechanical Engineering Congress & Exposition IMECE2011,

November 11–17, 2011, Denver, Colorado, USA.

38 Adrian Sandu – Resume (May 31, 2016)

C.61) J. Hays*, A. Sandu, C. Sandu, and D. Hong: “Motion Planning of Uncertain Fully-Actuated

Dynamical SystemsA Forward Dynamics Formulation”. Paper DETC2011-48233, ASME

2011 International Design Engineering Technical Conferences & Computers and Information

in Engineering Conference IDETC/CIE 2011, August 29–31, 2011, Washington, DC, USA.

C.60) J. Hays*, A. Sandu, C. Sandu, and D. Hong: “Motion Planning of Uncertain Fully-Actuated

Dynamical SystemsAn Inverse Dynamics Formulation”. Paper DETC2011-48229, ASME

2011 International Design Engineering Technical Conferences & Computers and Information

in Engineering Conference IDETC/CIE 2011, August 29–31, 2011, Washington, DC, USA.

C.59) M. Alexe* and A. Sandu: “On the Adaptive Solution of Time-dependent Inverse Problems

with the Adjoint Method”. International Conference on Computational Science ICCS-2011.

Conference dates and venue: Singapore, June 1–4, 2011. Procedia Computer Science Volume

4, 2011, pp. 1771–1781, Proceedings of the International Conference on Computational Sci-

ence, ICCS 2011, edited By Mitsuhisa Sato, Satoshi Matsuoka, Peter M. Sloot, G. Dick van

Albada and Jack Dongarra. (online).

C.58) T. Ahn* and A. Sandu: “Weakly Convergent Stochastic Implicit Integrators Applied to the

Solution of Stochastic Chemical Kinetic Problems”. International Conference on Computa-

tional Science ICCS-2011. Conference dates and venue: Singapore, June 1–4, 2011. Procedia

Computer Science Volume 4, 2011, pp. 2297–2306, Proceedings of the International Confer-

ence on Computational Science, ICCS 2011, edited By Mitsuhisa Sato, Satoshi Matsuoka,

Peter M. Sloot, G. Dick van Albada and Jack Dongarra. (online).

C.57) H. Zhang* and A. Sandu: “FATODE: A Library for Forward, Adjoint, and Tangent Linear

Integration of Stiff Systems”. High Performance Computing Symposium at SpringSim 2011.

Conference dates and venue: April 3–7, Boston, Massachusetts.

C.56) T.-H. Ahn* and A. Sandu: “Fully Implicit Tau-Leaping Methods for the Stochastic Simu-

lation of Chemical Kinetics ” High Performance Computing Symposium at SpringSim 2011.

Conference dates and venue: April 3–7, Boston, Massachusetts.

C.55) J. Hays*, D. Hong, C. Sandu, and A. Sandu: “DETC2010-28134: Design Optimization for

Minimizing Actuation Energy of a Dynamic Tripedal Walking Robot - Revisiting the Dou-

ble Pendulum”. Proceedings of the ASME 2010 International Design Engineering Technical

Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2010),

C. Collins (ed.), 9 pages, American Society of Automotive Engineers (ASME), New York,

NY, 2010. Conference dates and venue: August 15–18, 2010, Montreal, Quebec, Canada.

C.54) E. Blanchard*, C. Sandu, and A. Sandu: “DETC2010-28467: Polynomial-Chaos-Based Nu-

merical Method for the LQR Problem With Uncertain Parameters in the Formulation”. Pro-

ceedings of the ASME 2010 International Design Engineering Technical Conferences & Com-

puters and Information in Engineering Conference (IDETC/CIE 2010), C. Collins (ed.), pp.

Adrian Sandu – Resume (May 31, 2016) 39

315–324, 10 pages, American Society of Automotive Engineers (ASME), New York, NY, 2010.

Conference dates and venue: August 15–18, 2010, Montreal, Quebec, Canada. (online)

C.53) T.H. Ahn* and A. Sandu: “Parallel Stochastic Simulations of Budding Yeast Cell Cycle:

a Theoretical Analysis of Load Balancing Strategies”. Proceedings of ACM International

Conference on Bioinformatics and Computational Biology (ACM BCB 2010), L. Liao, G. Li,

A. Zhang, M. Borodovsky, G. Ozsoyoglu, and A.R. Mikler (eds.), pp. 237–246, Association

for Computing Machinery, New York, NY, 2010. Conference dates and venue: August 2–4,

2010, Niagara Falls, New York.

C.52) H. Cheng* and A. Sandu: “Collocation Least-squares Polynomial Chaos Method”. Pro-

ceedings of the 2010 Spring Simulation Multiconference (SpringSim’10), High Performance

Computing Symposium (HPC-2010), A. Sandu, L.T. Watson, W.I. Thacker (eds.), pp. 94–99,

Society for Modeling and Simulation International, Vista, California, 2010. Conference dates

and venue: April 12–15, 2010, Florida Mall Hotel and Conference Center Orlando, Florida.

C.51) P. Eller*, K. Singh*, and A. Sandu: “Development and Acceleration of Parallel Chem-

ical Transport Models”. Proceedings of the 2010 Spring Simulation Multiconference

(SpringSim’10), High Performance Computing Symposium (HPC-2010), A. Sandu, L.T. Wat-

son, W.I. Thacker (eds.), pp. 57–64, Society for Modeling and Simulation International,

Vista, California, 2010. Conference dates and venue: April 12–15, 2010, Florida Mall Hotel

and Conference Center Orlando, Florida.

C.50) M. Alexe*, A. Cioaca*, and A. Sandu: “Obtaining and Using Second Order Derivative Infor-

mation in the Solution of Large Scale Inverse Problems”. Proceedings of the 2010 Spring Sim-

ulation Multiconference (SpringSim’10), High Performance Computing Symposium (HPC-

2010), A. Sandu, L.T. Watson, W.I. Thacker (eds.), pp. 65–72, Society for Modeling and

Simulation International, Vista, California, 2010. Conference dates and venue: April 12–15,

2010, Florida Mall Hotel and Conference Center Orlando, Florida.

C.49) B. Lepsa* and A. Sandu: “An efficient error control mechanism for the Parareal time dis-

cretization algorithm and its variants”. Proceedings of the 2010 Spring Simulation Multicon-

ference (SpringSim’10), High Performance Computing Symposium (HPC-2010), A. Sandu,

L.T. Watson, W.I. Thacker (eds.), pp. 79–85, Society for Modeling and Simulation Interna-

tional, Vista, California, 2010. Conference dates and venue: April 12–15, 2010, Florida Mall

Hotel and Conference Center Orlando, Florida.

C.48) E. Blanchard, S. Sandu, and A. Sandu: “Comparison Between a Polynomial Chaos Based

Bayesian Approach and a Polynomial Chaos Based EKF Approach for Parameter Estimation

with Applications to Vehicle Dynamics”, Proceedings of the ASME 2009 International Design

Engineering Technical Conferences (IDETC) & Computers and Information in Engineering

Conference (CIE), 11-th International Conference on Advanced Vehicle and Tire Technol-

ogy (AVTT), Paper no DETC2009-86402, 12 pages. Recipient of AVTT Best Paper award.

40 Adrian Sandu – Resume (May 31, 2016)

American Society of Automotive Engineers (ASME), New York, NY, 2009. Conference dates

and venue: Aug. 30–Sept 2 2009, San Diego, California.

C.47) A. Sandu and E.M. Constantinescu*: “Multirate Time Integration of Hyperbolic Partial Dif-

ferential Equations”. Seventh International Conference on Numerical Analysis and Applied

Mathematics (ICNAAM 2009), American Institute of Physics (AIP) Conference Proceedings,

Vol. 1168, pp. 1411–1414, doi:10.1063/1.3241354, 2009. Conference dates and venue: 18–22

September 2009, Rethymno, Crete, Greece. (online).

C.46) J.C. Linford*, J. Michalakes, M. Vachharajani, and A. Sandu: “Multicore Acceleration of

Chemical Kinetics for Simulation and Prediction”. Proceedings of the ACM/IEEE Conference

on High Performance Computing Networking, Storage and Analysis (SC’09), pp. 1–11, ISBN:

978-1-60558-744-8, Association for Computing Machinery, New York, NY, 2009. Conference

dates and venue: November 14–20, 2009, 2009, Portland, Oregon. (online).

C.45) E.M. Constantinescu* and A. Sandu: “Explicit Time Stepping Methods with High Stage

Order and Monotonicity Properties”. International Conference on Computational Science

2009 (ICCS-2009), Springer Lecture Notes on Computational Science (LNCS), Vol. 5545,

G. Allen, J. Nabrzyski, E. Seidel, G.D. van Albada, J. Dongarra, and P.M.A. Sloot (eds.),

pp. 293–301, Springer, 2009. Conference dates and venue: May 25–27, 2009, Baton Rouge,

Louisiana. Acceptance rate 30%.

C.44) K. Singh and A. Sandu: “Improving GEOS-Chem Model Forecasts Through Profile Retrievals

from Tropospheric Emission Spectrometer”. International Conference on Computational Sci-

ence 2009 (ICCS-2009), Springer Lecture Notes on Computational Science (LNCS), Vol.

5545, G. Allen, J. Nabrzyski, E. Seidel, G.D. van Albada, J. Dongarra, and P.M.A. Sloot

(eds.), pp. 302–311, Springer, 2009. Conference dates and venue: May 25–27, 2009, Baton

Rouge, Louisiana. Acceptance rate 30%.

C.43) T.Y. Gou and A. Sandu: “Chemical Data Assimilation with CMAQ: Continuous vs. Discrete

Advection Adjoints”. International Conference on Computational Science 2009 (ICCS-2009),

Springer Lecture Notes on Computational Science (LNCS), Vol. 5545, G. Allen, J. Nabrzyski,

E. Seidel, G.D. van Albada, J. Dongarra, and P.M.A. Sloot (eds.), pp. 312–321, Springer,

2009. Conference dates and venue: May 25–27, 2009, Baton Rouge, Louisiana. Acceptance

rate 30%.

C.42) K. Singh*, P. Eller*, A. Sandu, D. Henze, K. Bowman, M. Kopacz and M. Lee: “Towards

the Construction of a Standard Adjoint GEOS-Chem Model”. Proceedings of the 2009

Spring Simulation Multiconference, High Performance Computing Symposium, C. Ribbens,

A. Sandu, and W.I. Thacker (eds.), 8 pages, Society for Modeling and Simulation Interna-

tional, Vista, California, 2009. Conference dates and venue: March 22–27, 2009, San Diego,

California.

Adrian Sandu – Resume (May 31, 2016) 41

C.41) S. Schneider, J.-S. Yeom, Benjamin Rose, J.C. Linford*, A. Sandu and D.S. Nikolopoulos: “A

Comparison of Programming Models for Multiprocessors with Explicitly Managed Memory

Hierarchies”. Proceedings of the 14th ACM SIGPLAN Symposium on Principles and Practice

of Parallel Programming (PPoPP), pp. 131—140, Association for Computing Machinery,

New York, NY, 2009. Conference dates and venue: February 14–18, 2009, Raleigh, North

Carolina.

C.40) H. Cheng* and A. Sandu: “Uncertainty Apportionment for Air Quality Forecast Models”

Proceedings of 24th Annual ACM Symposium on Applied Computing (SAC-2009), Computa-

tional Sciences Track, A. Sandu and Y. Cao (eds.), pp. 956–960, Association for Computing

Machinery, New York, NY, 2009. Conference dates and venue: March 8–12, 2009, Hilton

Hawaiian Village Beach Resort & Spa, Waikiki Beach, Honolulu, Hawaii. Acceptance rate

29%.

C.39) J.C. Linford* and A. Sandu: “Vector Stream Processing for Effective Application of Hetero-

geneous Parallelism”. Proceedings of 24th Annual ACM Symposium on Applied Computing

(SAC-2009), Computational Sciences Track, A. Sandu and Y. Cao (eds.), pp. 976-980, Asso-

ciation for Computing Machinery, New York, NY, 2009. Conference dates and venue: March

8–12, 2009, Hilton Hawaiian Village Beach Resort & Spa, Waikiki Beach, Honolulu, Hawaii.

Acceptance rate 29%. (online)

C.38) A. Sandu and E.M. Constantinescu*: “On Extrapolated Multirate Methods”. Proceedings of

the Congress of the European Consortium for Mathematics in Industry (ECMI 2008), Progress

in Industrial Mathematics at ECMI 2008, A.D. Fitt, J. Norbury, H. Ockedon, and R.E. Wilson

(eds.), pp. 341–347. Springer-Verlag Heidelberg, Dordrecht, London, New York, ISBN: 978-3-

642-12109-8, doi: 10.1007/978-3-642-12110-4, 1083 pages, 2010. Conference dates and venue:

June 30–July 5, 2008, London, U.K. (online)

C.37) A. Sandu: “Chemical Data Assimilation: Computational Tools and Applications”. Proceed-

ings of the 8th International Conference on HydroScience and Engineering (ICHE 2008), 10

pages, Nagoya Hydraulic Research Institute for River Basin Management, Department of

Civil Engineering, Nagoya University, 2008. Conference dates and venue: Sept. 8–12, 2008,

Nagoya, Japan.

C.36) A. Sandu and L. Zhang*: “Obtaining and Using Second Order Information in the Solu-

tion of Inverse Problems”. ASME 2008 International Design Engineering Technical Confer-

ences & Computers and Information in Engineering Conference IDETC/CIE 2008, paper no.

DETC2008/CIE-49242 (paper accepted in final form; not included in the proceedings due to

administrative delays). American Society of Automotive Engineers (ASME), New York, NY,

2008. Conference dates and venue: August 3–6, 2008, Brooklyn, New York.

C.35) M. Lee, R. Weidner, K. Bowman, A. Sandu, and K. Singh*: “Sensor-web Operations Explorer

(SOX) for Integrated Air Quality Campaign”. NASA Earth Science Technology Conference

42 Adrian Sandu – Resume (May 31, 2016)

(ESTC2008), 11 pages, National Aeronautics and Space Agency, 2008. Conference dates and

venue: June 24–26. 2008, University College, Maryland.

C.34) J.C. Linford* and A. Sandu: “Optimizing Large Scale Chemical Transport Models for Multi-

core Platforms”. Proceedings of the 2008 Spring Simulation Multiconference (SpringSim’08),

High Performance Computing and Simulation Symposium (HPCS-2008), M. Sosonkina, T.

Haupt, C. Shaffer, and A. Sandu (eds.), paper no. 30, 8 pages, Society for Modeling and

Simulation International, Vista, California. Conference dates and venue: April 14-1-6, 2008,

Ottawa, Ontario, Canada.

C.33) E.M. Blanchard*, A. Sandu, and C. Sandu: “Parameter Estimation Method using an Ex-

tended Kalman Filter”. Proceedings of the 2007 Asia-Pacific and North America Regional

ISTVS Conference, paper no. PI074, The International Society for Terrain-Vehicle Systems

(ISTVS), North Carolina, USA. Conference dates and venue: June 23–25 2007, Fairbanks,

Alaska.

C.32) E.M. Blanchard*, C. Sandu, and A. Sandu: “A Polynomial Chaos Based Bayesian Ap-

proach for Estimating Uncertain Parameters of Mechanical Systems”. Proceedings of the

ASME IDETC 2007, 9-th International Conference on Advanced Vehicle and Tire Technol-

ogy (AVTT), paper no. DETC2007-34600, pp. 1041-1048, 8 pages, American Society of

Automotive Engineers (ASME), New York, NY, 2007. Conference dates and venue: Septem-

ber 4–7, 2007, Las Vegas, Nevada. (online).

C.31) H. Cheng and A. Sandu: “Numerical Study of Uncertainty Quantification Techniques for

Implicit Stiff Systems”. Proceedings of the 45-th ACM Southeast Conference, D. Dicheva,

V.P. Pauca, and J. Burg (eds.), 8 pages, Association for Computing Machinery, New York,

NY, 2007. Conference dates and venue: March 23-24, 2007, Winston-Salem, North Carolina.

C.30) M. Alexe and A. Sandu: “An Investigation of Discrete Adjoints for Flux-Limited Numerical

Schemes”. Proceedings of the 45-th ACM Southeast Conference, D. Dicheva, V.P. Pauca,

and J. Burg (eds.), 8 pages, Association for Computing Machinery, New York, NY, 2007.

Conference dates and venue: March 23-24, 2007, Winston-Salem, North Carolina.

C.29) A. Srivastava, J.C. Linford*, and A. Sandu: “Performance of Stabilized Explicit Time Inte-

gration Methods For Parallel Air Quality Models”. Proceedings of the 2007 Spring Simulation

Multiconference (SpringSim’05), High Performance Computing Symposium (HPC-2007), L.T.

Watson, T. Haupt, M. Sosonkina, and C. Shaffer (eds.), 8 pages, Society for Modeling and

Simulation International, Vista, California, 2007. Conference dates and venue: March 25-29,

2007, Norfolk, Virginia.

C.28) A. Sandu, E.M. Constantinescu*, G.R. Carmichael, T. Chai, J.H. Seinfeld, and Dacian

Daescu: “Localized Ensemble Kalman Dynamic Data Assimilation for Atmospheric Chem-

istry”. International Conference for Computational Science (ICCS-2007), Dynamic Data

Adrian Sandu – Resume (May 31, 2016) 43

Driven Application Systems Workshop, Springer Lecture Notes in Computer Science (LNCS),

Vol. 4487, Y. Shi, G.D. van Albada, J. Dongarra, and P.M.A. Sloot (eds.), pp. 1018–1025.

Conference dates and venue: May 27-30, 2007, Beijing, China. Acceptance rate 35%.

C.27) L. Zhang and A. Sandu: “Data Assimilation in Multiscale Chemical Transport Models”. In-

ternational Conference for Computational Science (ICCS-2007), Dynamic Data Driven Ap-

plication Systems Workshop, Springer Lecture Notes in Computer Science (LNCS), Vol. 4487,

Y. Shi, G.D. van Albada, J. Dongarra, and P.M.A. Sloot (eds.), pp. 1026–1033. Conference

dates and venue: May 27-30, 2007, Beijing, China. Acceptance rate 35%.

C.26) P. Miehe and A. Sandu: “Forward, Tangent Linear, and Adjoint Runge Kutta Methods

in KPP–2.2”. International Conference for Computational Science (ICCS-2006), Springer

Lecture Notes in Computer Science (LNCS), Vol. 3993, V.N. Alexandrov et al. (eds.), pp.

120–127, Springer-Verlag Berlin Heidelberg, 2006. Conference dates and venue: May 28–31,

2006, Reading, U.K. Acceptance rate 35%.

C.25) A. Sandu: “Targeted Observations for Atmospheric Chemistry and Transport Models”. In-

ternational Conference for Computational Science (ICCS-2006), Springer Lecture Notes in

Computer Science (LNCS), Vol. 3991, V.N. Alexandrov et al. (eds.), pp. 712–719, Springer-

Verlag Berlin Heidelberg, 2006. Conference dates and venue: May 28–31, 2006, Reading,

U.K. Acceptance rate 35%.

C.24) A. Sandu: “On the Properties of Runge-Kutta Discrete Adjoints”. International Confer-

ence for Computational Science (ICCS-2006), Springer Lecture Notes in Computer Science

(LNCS), Vol. 3994, V.N. Alexandrov et al. (eds.), pp. 550–557, Springer-Verlag Berlin Hei-

delberg, 2006. Conference dates and venue: May 28–31, 2006, Reading, U.K. Acceptance rate

35%.

C.23) L. Lin, C. Sandu, and A. Sandu: “Modeling and Simulation of a Full Vehicle with Parametric

and External Uncertainties”. Proceedings of the 2005 ASME International Mechanical Engi-

neering Congress and Exposition, 7th Vehicle Dynamics and Controls Annual Symposium on

Advanced Vehicle Technologies, Session 4: Advances in Vehicle Systems Modeling and Sim-

ulation, paper No. IMechE-2005-82101, 6 pages, American Society of Automotive Engineers

(ASME), New York, NY, 2005. Conference dates and venue: November 6-11, 2005, Orlando,

Florida.

C.22) C. Sandu, A. Sandu, and L. Lin: “Stochastic Modeling of Terrain Profiles and Soil Param-

eters”. Proceedings of the SAE Commercial Vehicle Engineering Congress and Exhibition,

paper No. 2005-01-3559, 10 pages, American Society of Automotive Engineers (ASME), New

York, NY, 2005. Conference dates and venue: November 1-3, 2005, Chicago, Illinois.

C.21) A. Sandu, E.M. Constantinescu*, W. Liao**, G.R. Carmichael, T. Chai, J.H. Seinfeld, and D.

Daescu: “Ensemble–Based Data Assimilation for Atmospheric Chemical Transport Models”.

44 Adrian Sandu – Resume (May 31, 2016)

International Conference for Computational Science (ICCS-2005), Springer Lecture Notes in

Computer Science (LNCS), Vol. 3515, pp. 648–655, Springer-Verlag GmbH, 2005. Conference

dates and venue: May 22–25, 2005, Atlanta, Georgia.

C.20) E.M. Constantinescu*, W. Liao**, and A. Sandu: “On Adaptive Mesh Refinement in High

Resolution Air Quality Modeling”. International Conference for Computational Science

(ICCS-2005), Springer Lecture Notes in Computer Science (LNCS), Vol. 3515, pp. 798–

805, Springer-Verlag GmbH, 2005. Conference dates and venue: May 22–25, 2005, Atlanta,

Georgia. (online).

C.19) W. Liao** and A. Sandu: “Total Energy Singular Vectors for Atmospheric Chemical Trans-

port Models”. International Conference for Computational Science (ICCS-2005), Springer

Lecture Notes in Computer Science (LNCS), Vol. 3515, pp. 806–813, Springer-Verlag GmbH,

2005. Conference dates and venue: May 22–25, 2005, Atlanta, Georgia.

C.18) Z. Liu and A. Sandu: “Analysis of Discrete Adjoints for Upwind Numerical Schemes”. In-

ternational Conference for Computational Science (ICCS-2005), Springer Lecture Notes in

Computer Science (LNCS), Vol. 3515, pp. 829–836, Springer-Verlag GmbH, 2005. Confer-

ence dates and venue: May 22–25, 2005, Atlanta, Georgia.

C.17) E.M. Constantinescu*, W. Liao**, and A. Sandu: “Mesh Refinement Strategies in Air Qual-

ity Modeling”. Proceedings of the 2005 Spring Simulation Multiconference (SpringSim’05),

High Performance Computing Symposium (HPC-2005), M. Parashar and L. Watson editors,

pp. 158–163, Society for Modeling and Simulation International, Vista, California, 2005.

Conference dates and venue: April 2-8, 2005, San Diego, California.

C.16) C. Sandu, A. Sandu, B. Chan, and M. Ahmadian: “Treatment of Constrained Multibody

Dynamic Systems with Uncertainties”. Proceedings of the SAE Congress 2005, paper No.

2005-01-0936, 11 pages, Society of Automotive Engineers, Willendale, Pennsylvania, 2005.

Conference dates and venue: April 11-14, 2005, Detroit, Michigan.

C.15) A. Sandu, C. Sandu, B. Chan, and M. Ahmadian: “Control of Mechanical Systems using a

Parameterized Spectral Decomposition Approach”. Proceedings of the ASME IMechE 2004,

6th annual symposium on advanced vehicle technology, paper no. IMechE-2004-60484, 9 pages,

American Society of Automotive Engineers (ASME), New York, NY, 2004. Conference dates

and venue: November 14-19, 2004, Annaheim, California.

C.14) C. Sandu, A. Sandu, B. Chan, and M. Ahmadian: “Treating Uncertainties in Multi-body

Dynamic Systems using a Polynomial Chaos Spectral Decomposition”. Proceedings of the

ASME IMechE 2004, sixth Annual Symposium on Advanced Vehicle Technology, paper no.

IMechE-2004-60482, 9 pages, American Society of Mechanical Engineers, 2004. Conference

dates and venue: November 14-19, 2004, Annaheim, California.

Adrian Sandu – Resume (May 31, 2016) 45

C.13) G.R. Carmichael, A. Sandu, D. Daescu, T. Chai, J.H. Seinfeld, P. Hess, and T. Anderson:

“Chemical Data Assimilation in Support of Air Quality Forecasting”. Proceedings of the

84-th American Meteorological Society annual meeting, Session 2: Air quality modeling and

forecasting, paper No. 2.1, 6 pages, American Meteorological Society, Boston, Massachusetts,

2004. Conference dates and venue: January 11-15, 2004, Seattle, Washington.

C.12) T. Chai, G.R. Carmichael, D. Daescu, and A. Sandu: “Analysis of TraceP Observations Using

a 4D-Var Data Assimilation Technique”. Proceedings of the 84-th American Meteorological

Society annual meeting, Session 8: Assimilation of observations (ocean, atmosphere, and

land surface) into models, paper No. 8.4, 6 pages, American Meteorological Society, Boston,

Massachusetts, 2004. Conference dates and venue: January 11-15, 2004, Seattle, Washington.

C.11) A. Sandu, W. Liao**, G.R. Carmichael, D. Henze, J.H. Seinfeld, T. Chai, and D. Daescu:

“Computational Aspects of Data Assimilation for Aerosol Dynamics”. International Confer-

ence for Computational Science (ICCS-2004), Springer Lecture Notes in Computer Science,

Springer-Verlag GmbH, Vol. 3038, pp. 709–716, 2004. Conference dates and venue: June

6–9, 2004, Krakow, Poland.

C.10) C. Belwal, A. Sandu, E.M. Constantinescu*: “Adaptive Resolution Modeling of Air Pollu-

tion”. Proceedings of ACM Symposium on Applied Computing (SAC-2004), Computational

Sciences Track, A. Sandu (ed.), pp. 235–239, Association for Computing Machinery, New

York, NY, 2004. Conference dates and venue: March 2004, Nicosia, Cyprus.

C.9) A. Sandu, D. Negrut, C. Sandu, E. J. Haug, F. A. Potra: “Rosenbrock Nystrom Integrator

for SSODE of Mechanical Systems”. Proceedings of 2003 ASME DETC, 19-th Biennial Con-

ference on Mechanical Vibration and Noise (VIB), fourth Symposium on Multibody Dynamics

and Vibration, paper No. VIB-48329, 8 pages, American Society of Automotive Engineers

(ASME), New York, NY, 2003. Conference dates and venue: September 6–10, 2003, Chicago,

Illinois.

C.8) G.R. Carmichael, D. Daescu, A. Sandu, and T. Chai: “Computational Aspects of Chemical

Data Assimilation into Atmospheric Models”. International Conference for Computational

Science (ICCS-2003), Springer Lecture Notes in Computer Science, Vol. 2660, pp. 269–278,

Springer-Verlag GmbH, 2003. Conference dates and venue: June 2003, Melbourne, Australia.

C.7) A. Sandu and C. T. Borden: “Discretization of Aerosol Dynamics with B-splines”. Proceed-

ings of ACM Symposium on Applied Computing (SAC-2003), Computational Sciences Track,

A. Sandu editor, pp. 189–193, Association for Computing Machinery, New York, NY, 2003.

Conference dates and venue: March 13-18, 2003, Melbourne, Florida.

C.6) A. Sandu, D. Daescu and G.R. Carmichael: “Adjoint Data Assimilation for Aerosol Dy-

namics”. Proceedings of the Second International Conference on Air Pollution Modeling and

Simulation (APMS-2001), B. Sportisse (ed.), pp. 319–331, Springer 2002. Conference dates

and venue: April 9–13, 2001, Paris, France.

46 Adrian Sandu – Resume (May 31, 2016)

C.5) J. F. Duff, P. Merkey and A. Sandu: “Parallel Molecular Dynamics Using MPI on a Scyld-

style Beowulf Cluster”. Proceedings of the tenthth SIAM Conference on Parallel Processing

for Scientific Computing (PPSC-2001), pp. 272–279, Society for Industrial and Applied

Mathematics, Philadelphia, Pennsylvania, 2001. Conference dates and venue: March 12–14,

2001, Portsmouth, Virginia.

C.4) D. Daescu, G.R. Carmichael, and A. Sandu: “Adjoint Implementation of Rosenbrock Meth-

ods Applied to Variational Data Assimilation”. Millennium NATO/CCMS International

Technical Meeting on Air Pollution Modeling and its Applications, pp. 346–354, American

Meteorological Society, Boston, Massachusetts, 2000. Conference dates and venue: May 15–

19, 2000, Boulder, Colorado.

C.3) H. Shan, G.R. Carmichael, A. Sandu, and B. Hotchkis: “Exploring the Effects of Aerosols

and Photochemistry and Radiative Processes in the Troposphere Using Automatic Differen-

tiation”. Proceedings of the First International Conference on Air Pollution Modeling and

Simulation (APMS-1998), B. Sportisse (ed.), 12 pages, Springer, 1998. Conference dates and

venue: October 26–29, 1998, Champs-sur-Marne, France.

C.2) L.O. Jay, A. Sandu, F.A. Potra, and G.R. Carmichael: “Efficient Numerical Integration for

Atmospheric Chemistry”. Third International Congress on Industrial and Applied Mathemat-

ics (ICIAM-1995), Special issue of ZAMM (Journal of Applied Mathematics and Mechanics),

Issue 4: Applied Sciences, E. Kreuzer and O. Mahrenholtz (eds.), pp. 450–453, Akademie-

Verlag, Berlin, 1996. Conference dates and venue: July 1995, Hamburg, Germany.

C.1) A. Sandu, G.R. Carmichael, and F.A. Potra: “Using Automatic Differentiation for Sensitivity

Analysis of Atmospheric Chemistry Models”. Theory and Applications of Sensitivity Analysis

of Model Output in Computer Simulation (SAMO 1995) Proceedings, Office for Official Pub-

lications of the European Communities, pp. 49–51, L–2985 Louxembourg, 1995. Conference

dates and venue: June 18–22, 1995, Belgirate, Italy.

Conference Presentations, Posters, Work Accepted by Abstract

Cp.83) A. Sandu and V. Rao*: “Robust Data Assimilation with EnKF”, The 7th EnKF Data As-

similation Workshop, Toftrees Golf Resort & Conference Center, State College, Pennsylvania,

May 23–27, 2016.

Cp.82) A. Sandu and V. Rao*: “Parallel in Time Strong-Constraint 4D-Var”, MS39 Parallel Method-

ologies for Large Data Assimilation and Inverse Problems, SIAM Conference on Parallel Pro-

cessing for Scientific Computing, Universite Pierre et Marie Curie, Cordeliers Campus, Paris,

France, April 12–15, 2016.

Adrian Sandu – Resume (May 31, 2016) 47

Cp.81) A. Sandu and V. Rao*: “Speeding Up Variational Inference”, MS99 Uncertainty Quantifi-

cation for Complex Physical Models, SIAM Conference on Uncertainty Quantification, Swis-

sTech Convention Center, EPFL campus, Lausanne, Switzerland, April 5–8, 2016.

Cp.80) A. Sandu, E. Nino*, and X. Deng: “Estimation of Covariance Matrices in Ensemble Kalman

Filtering”, MS24 Data Assimilation and Uncertainty Quantification, SwissTech Convention

Center, EPFL campus, Lausanne, Switzerland, April 5–8, 2016.

Cp.79) A. Sandu: “Multimethods for the integration of PDEs”, Numerical Solution of Differen-

tial and Differential-Algebraic Equations (NUMDIFF-14), Martin Luther University Halle-

Wittenberg (Germany), 7 - 11 September 2015.

Cp.78) A. Sandu: “Quantifying the Effect of Errors in PDE-constrained Optimization Problems”,

International Conference on Scientific Computation and Differential Equations SCICADE

2015, University of Potsdam, Germany, September 14–18, 2015.

Cp.77) E. Nino* and A. Sandu: “An Efficient Parallel Implementation of the Ensemble Kalman Filter

Based on Inverse Matrix Covariance Estimation”. Poster presented at VT HPC day, April 6,

2015. Won third place in the HPC poster competition (out of 38 participants).

Cp.76) M. Gunther and A. Sandu: “Multirate GARK Schemes”, Computational Techniques for Time

Dependent Coupled Multiphysics and Multiscale Problems mini symposium MS6, SIAM Con-

ference on Computational Science and Engineering, Salt Lake City, Utah, March 3–18, 2015.

Cp.75) V. Rao* and A. Sandu: “Parallel 4D Variational Data Assimilation”. The Use of Adjoints

in Earth System Modeling/Sciences mini symposium MS190, SIAM Conference on Compu-

tational Science and Engineering, Salt Lake City, Utah, March 3–18, 2015.

Cp.74) R. S, tefanescu** and A. Sandu: “Aposteriori Error Estimates for Reduced Order Models

and Adaptivity”, Inverse Problems and Data Assimilation minisymposium MS168, SIAM

Conference on Computational Science and Engineering, Salt Lake City, Utah, March 3–18,

2015.

Cp.73) A. Attia* and A. Sandu: “A Sampling Filter for Non-Gaussian Data Assimilation”, Inverse

Problems and Data Assimilation minisymposium MS218, SIAM Conference on Computational

Science and Engineering, Salt Lake City, Utah, March 3–18, 2015.

Cp.72) A. Sandu and M. Gunther: “Generalized Structure Additive Runge-Kutta Methods”, Ad-

vances in Time-stepping Methods minisymposium MS136, SIAM Conference on Computa-

tional Science and Engineering, Salt Lake City, Utah, March 3–18, 2015.

Cp.71) P. Tranquilli*, A. Sandu, and R. Glandon*: “K-Methods, an Extension of Exponential and

Rosenbrock Time Integrators”, Advances in Time-stepping Methods minisymposium MS136,

SIAM Conference on Computational Science and Engineering, Salt Lake City, Utah, March

3–18, 2015.

48 Adrian Sandu – Resume (May 31, 2016)

Cp.70) A. Sandu, R. S, tefanescu**, V. Rao* and E. Nino*: “The use of reduced order models in

the solution of inverse problems”, ID44, 13th International Symposium on Multiscale, Multi-

functional and Functionally Graded Materials, Taua Resort, Sao Paolo, Brazil, Oct. 19–22,

2014.

Cp.69) A. Sandu: “Sampling and Derivative Free Variational Inference”, Data-driven Environmental

Systems Science Conference DyDESS, Massachusetts Institute of Technology, Cambridge,

MA, November 5-7, 2014.

Cp.68) H. Zhang* and A. Sandu et al.: “A Class of Implicit-Explicit General Linear Methods”.

SciCADE, Valladolid, Spain, Sep. 15-20, 2013.

Cp.67) M. Gunther and A. Sandu et al.: “Nonlinear Stability of Generalized Additive and Partitioned

Implicit Multirate Runge-Kutta Schemes”. SciCADE, Valladolid, Spain, Sep. 15-20, 2013.

Cp.66) P. Tranquilli* and A. Sandu et al.: “Rosenbrock-Krylov Time Stepping Methods”. SciCADE,

Valldolid, Spain, Sep. 15-20, 2013.

Cp.65) A. Sandu et al.: “Essentially Local Approaches to Exascale UQ”. Exascale Mathematics

Working Group Workshop, held at the American Geophysical Union (AGU) in Washington,

DC on August 21-22, 2013.

Cp.64) A. Sandu et al.: “Fusing Information from Models and Measurements at the Exascale”. Exas-

cale Mathematics Working Group Workshop, held at the American Geophysical Union (AGU)

in Washington, DC on August 21-22, 2013.

Cp.63) R. Archibald, A. Sandu et al.: “Resilient, Communication-Reducing, and Adaptive Time

Stepping to Accelerate Exascale Scientific Applications”. Exascale Mathematics Working

Group Workshop, held at the American Geophysical Union (AGU) in Washington, DC on

August 21-22, 2013.

Cp.62) P. Tranquilli* and A. Sandu: “Matrix-free Integrators for Large Discretized PDEs”, minisym-

posium MS98 at the SIAM Conference on Computational Science and Engineering, Boston,

Massachusetts, Feb. 27–March 1, 2013.

Cp.61) A. Cioaca* and A. Sandu: “Quantifying the Effect of Observations in 4D-Var Data Assim-

ilation”, minisymposium MS117 at the SIAM Conference on Computational Science and

Engineering, Boston, Massachusetts, Feb. 27–March 1, 2013.

Cp.60) E.D. Nino-Ruiz* and A. Sandu: “Efficient Implementations of the Ensemble Kalman Filter”,

minisymposium MS215 at the SIAM Conference on Computational Science and Engineering,

Boston, Massachusetts, Feb. 27–March 1, 2013.

Cp.59) A. Sandu: “Two Classes of Implicit-Explicit General Linear Methods”. Auckland Numerical

Ordinary Differential Equations Conference (ANODE 2013). International Conference in

Adrian Sandu – Resume (May 31, 2016) 49

celebration of the 80th birthday of John Butcher. Department of Mathematics, University of

Auckland, New Zealand, 7-11 Jan. 2013.

Cp.58) J. Baek et al.: “The Adjoint of the CMAQ Aqueous Chemistry Module”. American Associa-

tion for Aerosol Research (AAAR) 31st Annual Conference, Minneapolis, Minnesota, October

8–12, 2012.

Cp.57) H. Cheng* and A. Sandu: “Hybrid Methods for Data Assimilation”, MS70, abstract p. 130,

SIAM Conference on Uncertainty Quantification, Rayleigh, North Carolina, April 2–5, 2012.

Cp.56) M. Alexe* and A. Sandu: “Gradient-based Data Assimilation in Atmospheric Applications”,

MS55, abstract p. 119, SIAM Conference on Uncertainty Quantification, Rayleigh, North

Carolina, April 2–5, 2012.

Cp.55) H. Zhang* and A. Sandu: “FATODE: A Library for Forward, Tangent Linear, and Adjoint

ODE Integration”, MS70, abstract p. 130, SIAM Conference on Uncertainty Quantification,

Rayleigh, North Carolina, April 2–5, 2012.

Cp.54) A. Cioaca* and A. Sandu: “Computing and Using Observation Impact in 4D-Var Data Assim-

ilation”, MS78, abstract p. 135, SIAM Conference on Uncertainty Quantification, Rayleigh,

North Carolina, April 2–5, 2012.

Cp.53) V. Rao* and A. Sandu: “Parareal with Adjoints”, CP5, SIAM Conference on Parallel Pro-

cessing for Scientific Computing, Savannah, Georgia, Feb. 15–17, 2012.

Cp.52) T.-H. Ahn* and A. Sandu: “An Analytical Framework for the Performance Prediction of

Work-Stealing Dynamic Load Balancing Schemes for Ensemble Simulations”, CP6, SIAM

Conference on Parallel Processing, Savannah for Scientific Computing, Georgia Feb. 15–17,

2012.

Cp.51) A. Sandu: “Uncertainty Reduction in Atmospheric Constituent Models by Data Assimila-

tion”. IFIP Workshop on Uncertainty Quantification, Boulder, Colorado, Aug. 4–8, 2011.

Cp.50) A. Sandu: “On the Matrix-Free Implementation of Rosenbrock-W Methods”. MS116: Prac-

tical Scientific Computing with High-order Methods. SIAM Conference on Computational

Science and Engineering, abstract p. 192, Reno, Nevada, March 1–4, 2011.

Cp.49) A. Sandu: “ New Computational Tools for Chemical Data Assimilation”. MS141: Com-

bining Data Assimilation and Sensitivity in Air Quality Forecasting. SIAM Conference on

Computational science and Engineering, abstract p. 221, Reno, Nevada, March 1–4, 2011.

Cp.48) K. Bowman, H. Worden, A. Aghedo, K. Singh*, A. Sandu, D. Henze, D. Jones, and P.

Hamer: “Towards the attribution of ozone radiative forcing from satellites, assimilation, and

modeling”. The 11th Science Conference of the International Global Atmosphere Chemistry

(IGAC), Halifax, Canada, July 11-16, 2010.

50 Adrian Sandu – Resume (May 31, 2016)

Cp.47) H. Cheng* and A. Sandu: “Uncertainty Quantification and Reduction in Chemical Transport

Models”. SIAM Conference on Computational Science and Engineering (SIAM CSE 2009),

Miami, Florida, March 4–8, 2009.

Cp.46) E.M. Constantinescu* and A. Sandu: “Strong Stability Preserving General Linear Methods”.

SIAM Conference on Computational Science and Engineering (SIAM CSE 2009), Miami,

Florida, March 4–8, 2009.

Cp.45) A. Sandu and E.M. Constantinescu*: “Implicit-Explicit Extrapolation Methods for High Or-

der Time Integration”. SIAM Conference on Computational Science and Engineering (SIAM

CSE 2009), Miami, Florida, March 4–8, 2009.

Cp.44) E.M. Constantinescu* and A. Sandu: ‘Ensemble Based Data Assimilation with Chemical

Transport Models”. SIAM Conference on Computational Science and Engineering (SIAM

CSE 2009), Miami, Florida, March 4–8, 2009.

Cp.43) A. Sandu: “New Developments in Variational Chemical Data Assimilation”. SIAM Confer-

ence on Computational Science and Engineering (SIAM CSE 2009), Miami, Florida, March

4–8, 2009.

Cp.42) J.C. Linford* and A. Sandu: “Chemical Kinetics on Multicore SIMD Architectures”. Inter-

national Conference on Computational Science 2009 (ICCS 2009), Baton Rouge, Louisiana,

May 25–27, 2009.

Cp.41) K. Singh*, P. Eller*, A. Sandu, K. Bowman, D. Jones, and M. Lee: “Improving GEOS-

Chem Model Tropospheric Ozone through Assimilation of Pseudo Tropospheric Emission

Spectrometer Profile Retrievals”. Volume 5545 of the series Lecture Notes in Computer

Science, pp. 302–311. International Conference on Computational Science 2009 (ICCS 2009),

Baton Rouge, Louisiana, May 25–27, 2009. (online)

Cp.40) E.M. Constantinescu* and A. Sandu: “Achieving very high accuracy for the time integra-

tion of multiscale processes using extrapolation methods”. Applied Mathematics Principal

Investigators Meeting (AMR 08), Argonne National Laboratory October 15-17, 2008.

Cp.39) A. Sandu and E.M. Constantinescu*: “Multirate, multimethod time stepping techniques for

PDEs”. Tenth Copper Mountain conference on iterative methods, abstract p. 70, Copper

Mountain, Colorado, April 6–12, 2008.

Cp.38) J.C. Linford* and A. Sandu: “Chemical Transport Models on Cell Platforms”. SIAM Parallel

Processing PP-08, March 13–18 2008, Atlanta, Georgia.

Cp.37) J.C. Linford* and A. Sandu: “Performance of Stabilized Explicit Time Integration Methods

For Parallel Air Quality Models”. Virginia Tech Graduate Research Symposium, March 28,

2007.

Adrian Sandu – Resume (May 31, 2016) 51

Cp.36) A. Sandu: “Computational Aspects of Data Assimilation”, SIAM Conference on Mathemat-

ical and Computational Issues in the Geosciences GS-07, Santa Fe, NM, March 18–22, 2007.

Cp.35) A. Sandu and E.M. Constantinescu*: “The 4D-Var Approach for Chemical Data Assimila-

tion”, SIAM Conference on Computational Sciences and Engineering CSE-07, Costa Mesa,

CA, February 18–22, 2007.

Cp.34) E.M. Constantinescu* and A. Sandu: “The Ensemble Kalman Filter Approach for Chemical

Data Assimilation”, SIAM Conference on Computational Sciences and Engineering CSE-07,

Costa Mesa, CA, February 18–22, 2007.

Cp.33) K. Singh*, A. Sandu, and A. Hakami: “The Construction of CMAQ Adjoint”. International

Conference for Computational Science (ICCS-2007, acceptance rate 35%), Beijing, China,

May 27-30, 2007.

Cp.32) A. Sandu: “Chemical Data Assimilation – Fusing Models and Observations”. International

Conference on Atmospheric Chemical Mechanisms, University of California at Davis, Decem-

ber 6–8, 2006.

Cp.31) A. Hakami, J. Seinfeld, K. Singh*, A. Sandu, D.W. Byun, P. Percell, V. Coarfa: “Sattelite-

based inversion of NOx emissions using the adjoint of the CMAQ model”, Fifth Annual CMAS

Conference, Chapel Hill, NC, October 16–18, 2006.

Cp.30) (Poster) A. Hakami, J. Seinfeld, K. Singh*, A. Sandu, D.W. Byun, P. Percell, V. Coarfa:

“Development of Adjoint Sensitivity Analysis Capabilities for CMAQ”, Fifth Annual CMAS

Conference, Chapel Hill, NC, October 16–18, 2006.

Cp.29) K. Singh*, A. Sandu, A. Hakami, J. Seinfeld, D.W. Byun, P. Percell, V. Coarfa: “Numerical

Aspects of the CMAQ Adjoint”, Fifth Annual CMAS Conference, Chapel Hill, NC, October

16–18, 2006.

Cp.28) A. Sandu: “Recent Developments in Chemical Data Assimilation”, SIAM Annual Meeting

AN-06, Boston, MA, July 10–14, 2006.

Cp.27) G.R. Carmichael, T. Chai, Y. Tang, A. Sandu, D. Daescu, J. Seinfeld, P. Hess, and T.

Anderson: “Chemical Data Assimilation in Support of Air Quality Forecasts”, Eos Trans.

AGU, 86(52), Fall Meet. Suppl., Abstract No. A33F-01, AGU Fall Meeting 2005, Dec. 5–9,

2005.

Cp.26) A.Sandu, G.R. Carmichael, T. Chai, E.M. Constantinescu*, W. Liao**, and D. Daescu: “New

Developments in Chemical Data Assimilation: Computational Tools”, Eos Trans. AGU,

86(52), Fall Meet. Suppl., Abstract no. A33F-02 (invited), AGU Fall Meeting 2005, Dec.

5–9, 2005.

52 Adrian Sandu – Resume (May 31, 2016)

Cp.25) T. Chai, G.R. Carmichael, Y. Tang, A. Sandu, E.M. Constantinescu*, and J.S. Skorton:

“Uncertainty Analysis of STEM-2K1 Air Quality Forecasts for ICARTT”, Eos Trans. AGU,

86(52), Fall Meet. Suppl., Abstract No. A33F-03, AGU Fall Meeting 2005, Dec. 5–9, 2005.

Cp.24) (Poster) A. Sandu, E.M. Constantinescu*, P. Miehe*, L. Zheng*, W. Liao**: “Computa-

tional Tools for Chemical Data Assimilation”, Fall Creek Falls Conference on Computational

Sciences, October 16-18, 2005.

Cp.23) (Poster) A. Sandu, E.M. Constantinescu*, P. Miehe*, L. Zheng*, W. Liao**: “Computational

Tools for Chemical Data Assimilation”, NSF Workshop on Collaborations in Mathematical

Geosciences, Durham, NC, October 7-8, 2005.

Cp.22) A. Sandu, W. Liao**, D. Daescu, G.R. Carmichael, and T. Chai: “Adjoint Sensitivity Analy-

sis and Data Assimilation for Atmospheric Chemical Models”, SIAM Annual Meeting AN04,

Minisymposium MS49, Portland, OR, July 2004. Abstract p. 159.

Cp.21) D. Daescu and A. Sandu: “Time Dependent Sensitivity Analysis and Parameter Estimation

for Multiscale Systems”, SIAM Annual Meeting AN04, Minisymposium MS10, Portland, OR,

July 2004. Abstract p. 131.

Cp.20) A. Sandu, D. Daescu, G.R. Carmichael, and T. Chai: “Parallel Chemical Data Assimilation

in Atmospheric Models”, SIAM Conference on Parallel Processing PP04, Session CP4, San

Francisco, March 2004. Abstract p. 40.

Cp.19) C. Belwal*, A. Sandu, and E.M. Constantinescu*: “Parallel Adaptive Simulations of Regional

Air Quality”, SIAM Conference on Parallel Processing PP04, Session CP4, San Francisco,

March 2004. Abstract p. 40.

Cp.18) D. Daescu, G.R. Carmichael, and A. Sandu: “Assimilation of Chemical Measurements into

Atmospheric Chemistry Transport Models”, SIAM Conference on Mathematical and Com-

putational Issues in the Geosciences(GS03), Austin, Texas, March 2003.

Cp.17) A. Sandu and C. T. Borden*: “Modeling the Dynamics and Chemistry of Atmospheric

Aerosols”, SIAM Conference on Computational Sciences and Engineering CSE03, Session

CP29, San Diego, February 2003.

Cp.16) A. Sandu and D. Daescu: “Discrete Adjoints for Stiff Systems”, SIAM Conference on Com-

putational Sciences and Engineering CSE03, Session CP16, San Diego, February 2003.

Cp.15) C.T. Borden* and A. Sandu: “Numerical Treatment of Aerosol and Chemical Components in

Air Quality Models”, SIAM 50th Anniversary and 2002 Annual Meeting, Philadelphia, July

8-12, 2002, abstract p. 118.

Cp.14) D. Daescu and A. Sandu: “Adjoint Modeling For Chemical Reactions Mechanisms: Discrete

Versus Continuous”, 5th Workshop on Adjoint Applications in Dynamic Meteorology, Mount

Bethel, Pennsylvania, April 21-26, 2002.

Adrian Sandu – Resume (May 31, 2016) 53

Cp.13) A. Sandu and D. Daescu: “Automatic Generation Of Efficient Adjoints For Chemical Kinetic

Systems”, 5th Workshop on Adjoint Applications in Dynamic Meteorology, Mount Bethel,

Pennsylvania, April 21-26, 2002.

Cp.12) A. Sandu: “Numerical Solutions of Particle Dynamics Equation”, 2001 SIAM Annual Meet-

ing, pp. 139, San Diego, California, July 9-13, 2001.

Cp.11) A. Sandu and C.T. Borden*: “Computational Methods For Atmospheric Aerosol Modeling”,

6th SIAM Conference on Mathematical and Computational Issues in the Geosciences (GS01),

pp. 34, Boulder, Colorado, June 11-14, 2001.

Cp.10) A. Sandu: “Preserving Natural Invariants in Numerical Chemical Kinetics”, IMA workshop

on Atmospheric Modeling, Minneapolis, March 14-19, 2000.

Cp.9) A. Sandu and T. Schlick: “Multiple Time Stepping with Langevin Dynamics”, Gordon Con-

ference on Computational Chemistry, Tilton School, Tilton, New Hampshire, June 28 - July

3, 1998.

Cp.8) A. Sandu, G.R. Carmichael, and F.A. Potra: “Coupled chemistry and Transport Computa-

tions in Air Quality Modeling”, International Conference on Air Pollution Modeling, Paris,

1998.

Cp.7) A. Sandu: “Fast Solvers For Atmospheric Chemistry”, REMAPE Conference, Copenhagen,

September 1996.

Cp.6) A. Sandu: “Efficient QSSA Integrators for Atmospheric Chemistry”, Midwest Numerical

Analysis Day, the University of Iowa, Iowa City, April 1995.

Cp.5) A. Sandu: “Reduced Order Robust Controllers”, International Conference on Informatics,

Plovdiv, Bulgaria, 1989.

Cp.4) A. Sandu: “About Stability in Bi- And Tri- Positional Control”, session for scientific papers

for undergraduate students, section “Regulators”, Bucharest, 1989.

Cp.3) A. Sandu and M. Weiss: “Kernel of an Operating System for Networks Performing Multi-

tasking”, session for scientific papers for undergraduate students, Sinaia, 1989.

Cp.2) M. Weiss and A. Sandu: “Order Reduction of a H∞ Regulator”, session for scientific papers

for undergraduate students, section “Systems theory”, Bucharest, 1989.

Cp.1) C. Georgescu and A. Sandu: “Fliess Series and Non-Linear Applications”, session for scientific

papers for undergraduate students, section “Systems theory”, Bucharest, 1988.

Prefaces and Introductions

54 Adrian Sandu – Resume (May 31, 2016)

I.5) A. Sandu, L. T. Watson, and W.I. Thacker: “The High Performance Computing Symposium

(HPC 2010)”. Proceedings of the 2010 Spring Simulation Multiconference (SpringSim’10),

High Performance Computing Symposium (HPC-2010), A. Sandu, L. T. Watson, and W.I.

Thacker (eds.), 1 page, Society for Modeling and Simulation International, Vista, California,

2010.

I.4) A. Sandu, A. St-Cyr, and K. Evans: “Atmospheric and Oceanic Computational Sciences”. In-

ternational Conference on Computational Science 2009 (ICCS 2009), Springer Lecture Notes

on Computational Science, Vol. 5545, G. Allen, J. Nabrzyski, E. Seidel, G.D. van Albada, J.

Dongarra, and P.M.A. Sloot (eds.), pp. 241–242, Springer, 2009.

I.3) A. Sandu and Y. Cao: “Computational Sciences Track Editorial” Proceedings of ACM Sym-

posium on Applied Computing (SAC-2009), A. Sandu and Y. Cao (eds.), pp. 947–948 Asso-

ciation for Computing Machinery, New York, NY, 2009.

I.2) A. Sandu: “Computational Sciences Track Editorial”, Proceedings of ACM Symposium on

Applied Computing (SAC-2004), A. Sandu (ed.), 1 page, Association for Computing Machin-

ery, New York, NY, 2004.

I.1) A. Sandu: “Computational Sciences Track Editorial”, Proceedings of ACM Symposium on

Applied Computing (SAC-2003), pp. 141–142, A. Sandu (ed.), Association for Computing

Machinery, New York, NY, 2003.

Keynote Talks

K.1) A. Sandu: “Multimethods for the integration of PDEs”, Numerical Solution of Differen-

tial and Differential-Algebraic Equations (NUMDIFF-14), Martin Luther University Halle-

Wittenberg (Germany), 7 - 11 September 2015.

Other (not published elsewhere)

1. R. Archibald, Constantinescu, Evans, Finkel, Norris, Norman, A. Sandu, Stoyanov, Tokman,

Wingate, and Xing: “Resilient, Communication-Reducing, and Adaptive Time Stepping to

Accelerate Exascale Scientific Applications”. Position paper to DOE Exascale Mathematics

initiative, May 2013.

2. F. Battaglia, C. Beattie, D. Engel, S. Gugercin, C.J. Roy, A. Sandu, M. Shahnam, E. de

Sturler, X. Sun, M. Syamlal, and L. T. Watson: “Essentially Local Approaches to Exascale

UQ”. Position paper to DOE Exascale Mathematics initiative, May 2013.

Adrian Sandu – Resume (May 31, 2016) 55

3. A. Sandu: “Fusing Information from Models and Measurements at the Exascale”. Position

paper to DOE Exascale Mathematics initiative, May 2013.

4. A. Sandu and T.Y. Gou*: “Improvements of the 4D-Var CMAQ Model”. Report for the

Houston Advanced Research Council for project H98 (Task 4), and for the Texas Commission

on Environmental Quality, October 2009.

5. A. Sandu: “On Consistency Properties of Discrete Adjoint Linear Multistep Methods”. Com-

puter Science Technical Report CSTR-07-40, 2007. (online).

6. A. Sandu, D.N. Daescu, T. Chai, G.R. Carmichael, J.H. Seinfeld, P.G. Hess, and T.L. Ander-

son: “Computational Aspects of 4D-Var Chemical Data Assimilation in Atmospheric Mod-

els”. F. Darema editor, Dynamic Data Driven Applications Systems, Kluwer Academic Pub-

lishers, 2004.

7. A. Sandu and K. Singh*: “Development of an Adjoint Model for CMAQ-4.5”. Report for

the Houston Advanced Research Council for project H45C, and for the Texas Commission on

Environmental Quality, March 2007.

8. A. Sandu, L. Zhang*, and E.M. Constantinescu*: “Sensitivity Analysis and 4D-Var Data

Assimilation Part I: July 2004 Episode”. Report for the Houston Advanced Research Council

for project H59, and for the Texas Commission on Environmental Quality, March 2007.

9. A. Sandu, L. Zhang*, and E.M. Constantinescu*: “Sensitivity Analysis and 4D-Var Data

Assimilation Part II: June 2005 episode”. Report for the Houston Advanced Research Council

for project H59, and for the Texas Commission on Environmental Quality, March 2007.

10. A. Sandu and C.T. Borden*: “Discretizing Aerosol Dynamics with B-Splines”, Computer

Science Technical Report CSTR-01-09, Michigan Technological University, 2001.

11. A. Sandu: “Reduced Atmospheric Chemistry Models by Sensitivity Matrix Approach”. Com-

puter Science Technical Report CSTR-01-08, Michigan Technological University, 2001.

12. A. Sandu: “A Spectral Method for Solving Aerosol Dynamics”, Computer Science Technical

Report CSTR-01-04, Michigan Technological University, 2001.

13. A. Bamberger, Z. B. Dabaghi, E. Billette, A. Jaecker, P. Quandalle, and A. Sandu: “Mathe-

matical and Numerical Analysis to Reduce Atmospheric Chemical Model in Transport Con-

vection Problem”, Institut Francais du Petrole report no 43721, 1997.

14. V. Damian-Iordache, A. Sandu, F.A. Potra, G.R. Carmichael, and M. Damian-Iordache:

“Kpp - A Symbolic Preprocessor For Chemical Kinetics - User’s Guide”, Center for Global

and Regional Environmental Research, The University of Iowa, 1995.

56 Adrian Sandu – Resume (May 31, 2016)

Books Edited

1. “Dynamic Data-driven Environmental Systems Science”, Lecture Notes in Computer Science,

vol. 8964, S. Ravela and A. Sandu editors, Springer International Publishing AG Switzerland,

DOI 10.1007/978-3-319-25138-7, 2015.

2. Proceedings of the 2010 Spring Simulation Multiconference, High Performance Computing

Symposium, A. Sandu, L.T. Watson, and W. Thacker editors, Society for Modeling and

Simulation International, Vista, California, 2010.

3. Proceedings of the 2009 Spring Simulation Multiconference, High Performance Computing

Symposium, C. Ribbens, A. Sandu, W.I. Thacker editors, Society for Modeling and Simula-

tion International, Vista, California, 2009.

4. Proceedings of the 2009 ACM symposium on Applied Computing, Computational Sciences

Track, A. Sandu and Y, Cao editors, 2347 pages,ISBN:978-1-60558-166-8, Association for

Computing Machinery, New York, NY, 2009.

5. Proceedings of the 2008 Spring Simulation Multiconference, High Performance Computing

Symposium, M. Sosonkina, T. Haupt, C. Shaffer, and A. Sandu editors, Society for Modeling

and Simulation International, Vista, California, 2008.

6. Proceedings of the 2004 ACM symposium on Applied Computing, Computational Sciences

Track, A. Sandu editor, 1733 pages, ISBN:1-58113-812-1, Association for Computing Machin-

ery, New York, NY, 2004.

7. Proceedings of the 2003 ACM symposium on Applied Computing, Computational Sciences

Track, A. Sandu editor, 1268 pages, ISBN:1-58113-624-2, Association for Computing Machin-

ery, New York, NY, 2003.

Reports and Whitepapers

1. A. Sandu et al.: “Whitepaper: Fostering Interactions Between the Geosciences and Mathe-

matics, Statistics, and Computer Science”.

2. A. Sandu and A. Haghighat: “Uncertainty Quantification and Inverse Problems for Fusion

Energy Sciences”. DOE Workshop on Integrated Simulations for Magnetic Fusion Energy

Sciences, 2015.

3. D. Reynolds, R. Samtaney, A. Sandu, M. Tokman, and C. Woodward: “Advanced Time

Integration for Magnetic Fusion”. DOE Workshop on Integrated Simulations for Magnetic

Fusion Energy Sciences, 2015.

Adrian Sandu – Resume (May 31, 2016) 57

Invited Presentations

1. Uncertainty Quantification workshop, Institut Mittag-Leffler of the Swedish Royal Academy

of Sciences, Stockholm, Sweden, May 2016.

2. Computational Aspects of Data Assimilation, University of Pittsburg, Feb. 2015.

3. Uncertainty reduction, source identification, and observation impact assessment through data

assimilation, Sandia National laboratories, November 2014.

4. A Framework for Quantifying and Reducing Uncertainty in InfoSymbiotic Systems Arising

in Atmospheric Environments, DDDAS Program Review, IBM T.J. Watson center, Dec 1-3,

2014.

5. Overview of data assimilation work at Virginia Tech. University of Maryland, “UMD-VT

data assimilation day”, October 2014.

6. Nonlinear sampling filters. University of Maryland, “UMD-VT data assimilation day”, Oc-

tober 2014.

7. Data assimilation using reduced order models. University of Maryland, “UMD-VT data

assimilation day”, October 2014.

8. Derivative-free data assimilation. University of Maryland, “UMD-VT data assimilation day”,

October 2014.

9. Fusing Information from PDE-based Models and Measurements at the Exascale, DOE Work-

shop on Applied Mathematics Research for Exascale Computing, Washington, DC, August

21-22, 2013.

10. Essentially Local Approaches to Exascale UQ, DOE Workshop on Applied Mathematics Re-

search for Exascale Computing, Washington, DC, August 21-22, 2013.

11. Model Reduction Points, DOE Workshop on Applied Mathematics Research for Exascale

Computing, Washington, DC, August 21-22, 2013.

12. Fundamentals of Data Assimilation, Hong Kong Baptist University, November 2013.

13. Computational Aspects of Data Assimilation, Oak Ridge National Laboratory, May 2013.

14. Open Problems in Data Assimilation, Bridging the Gap in Geosciences meeting, Princeton,

NJ, October 2–4, 2012.

15. Tutorial on Data Assimilation, SAMSI Uncertainty QuantificationTransition Workshop,

Durham, NC, May 21–23, 2012.

58 Adrian Sandu – Resume (May 31, 2016)

16. Tutorial on Data Assimilation, SAMSI Uncertainty Quantification Methodology Opening

Workshop, Durham, NC, September 7, 2011. Video lecture available.

17. “Variational Data Assimilation”. Lecture at SAMSI/Sandia 2011 summer school on Uncer-

tainty Quantification, Albuquerque, New Mexico, June 21-25, 2011. Video lecture available.

18. NIST, Aug. 2011.

19. Workshop Verwer65 on numerical integration of ODEs and PDEs. Amsterdam, January

14-19, 2011.

20. NASA Goddard, September 2010.

21. Foothillls Lab, National Center for Atmospheric Research, March 2010.

22. University of Colorado, Computer Science Department, March 2010.

23. Colorado State University, Mathematics Department, February 2010.

24. Data Assimilation Workshop at NOAA, Boulder, Colorado, December 2009.

25. WRF-Chem Workshop, Boulder, Colorado, January 2009.

26. SANDIA CSRI Workshop on large Scale Inverse Problems and Quantification of Uncertainty,

Santa Fe, September 2007.

27. NASA Langley (Dynamics and Control Division), July 12, 2007.

28. Harvard University – Third GEOS-Chem users meeting, April 11, 2007.

29. NASA Langley (Atmospheric Chemistry Division), March 28, 2007.

30. International Conference on Atmospheric Chemical Mechanisms, University of California at

Davis, December 6–8, 2006.

31. NASA JPL (TES group science meeting), November 13, 2006.

32. NASA Langley (Control and Dynamics Division), October 24, 2006.

33. Atmospheric Chemistry Modeling Group, Harvard University, May 19, 2006.

34. Mathematics and Statistics Department, Portland State University, April 12-15, 2006.

35. Center for Advanced Air Quality Studies, University of Houston, Feb. 14-17, 2006.

36. Jet Propulsion Laboratory, February 7-9, 2006.

37. NSF DDDAS Workshop, January 19-20, 2006.

Adrian Sandu – Resume (May 31, 2016) 59

38. Workshop on Chemical Data Assimilation and Data Needs for Air Quality Forecasting, Silver

Spring, MD, June 20-22, 2005.

39. Florida State University, Feb. 20, 2005.

40. Oak Ridge National Laboratory, Nov. 14, 2004.

41. Environmental Protection Agency, Nov. 7, 2004.

42. National Institute of Science and Technology, May 25, 2004.

43. Mechanical Engineering Department, Rensselaer Polytechnic Institute, Feb. 6, 2004.

44. Computer Science Department, University of Illinois, 2003.

45. Computer Science Department, Clemson University, 2003.

46. Computer Science Department, University of Missouri, Columbia, 2002 .

47. Computer Science Department, Oklahoma State University, 2002.

48. Mathematics and Statistics Department, University of Maryland Baltimore County, April

2001.

49. TASC symposium, the Center for Mathematics and Computer Science (CWI), Amsterdam,

1996.

50. Institut Francais du Petrole, Paris, September 1995.

Executive Summary

Adrian Sandu

Professor

Department of Computer Science

Virginia Polytechnic Institute and State University

Scholarship

• Journal papers: 114 published or in print; 4 under review

• Conference papers: 85 published, refereed in full; 83 published, refereed by abstract; 1 under

review

• Invited talks: 1 keynote talks, 50 invited talks

• Books: 13 book chapters; 7 books edited

• Software: 10 packages in the public domain

• Other: 2 course notes; 5 prefaces; 3 reports; 3 theses; 14 other

• Citations to date (Nov. 2015): 4,258 (Google Scholar)

• Hirsch H-index: 34 (Google Scholar)

Research Funding

• Sponsors: NSF, AFOSR, NASA, NIH, NOAA, other

• Total project value: $21445224

• Personal share: $4834604

Advising

• Postdoctoral researchers: 1 currently advised; 4 formerly advised

• Ph.D. Students: 13 graduated; 7 currently advised

• M.S. Students: 10 graduated; 1 currently advised

Selected Service

• Current editorial positions: (1) SIAM/ASA Journal of Uncertainty Quantification; (2) Ap-

plied Numerical Mathematics; (3) Geoscientific Model Development; (4) International Journal

of Computer Mathematics

Adrian Sandu – Resume (May 31, 2016) 61

Selected Honors

• ACM Distinguished Scientist; NSF CAREER Award; Virginia Tech College of Engineering

Fellow; Professional Engineers Publishing Award.