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Jorge A. Sefair School of Computing and Augmented Intelligence (SCAI)
Arizona State University
Email: [email protected] // URL: http://www.public.asu.edu/~jsefair/
Research Interest
Applications of operations research in environmental planning, public policy, logistics, and urban planning.
Development of theory, methodology, and algorithms to support decisions under uncertainty and in the presence of
large amounts of data. Network optimization, multistage optimization, and integer programming.
Education
Ph.D., Industrial and Systems Engineering
University of Florida (Gainesville, Florida, United States). 2011—2015
M.Sc., Industrial Engineering Universidad de los Andes (Bogotá, Colombia).
2006—2008
B.A., Economics (cum laude)
Universidad de los Andes (Bogotá, Colombia) 2000—2006
B.Sc., Industrial Engineering (Honors degree)
Universidad de los Andes (Bogotá, Colombia) 2000—2005
Employment
Arizona State University (Tempe, AZ)
Assistant Professor. School of Computing and Augmented Intelligence 2015—
Affiliate Faculty. Center for Biodiversity Outcomes (CBO) 2018—
Affiliate Faculty. College of Public Service and Community Solutions, Center for Spatial
Reasoning & Policy Analytics (CSRPA)
2017—
Senior Sustainability Scientist. Julie Ann Wrigley Global institute of Sustainability 2016—
Affiliate Faculty. Simon Levin Mathematical, Computational and Modeling Sciences Center 2016—
Affiliate Faculty. School of Geographical Sciences and Urban Planning, Transdisciplinary
Transportation Studies
2015—
Universidad de los Andes (Bogotá, Colombia)
Instructor (Teaching and Research). Department of Industrial Engineering
2008—2011
Publications, Intellectual Property, and Presentations1
Summary of Publications and Intellectual Property
Abstracts published in conference proceedings: 45
Book Chapters Published: 1
Refereed Conference Papers (Published): 10
Total Journal Publications (Published, In Press, and /or Accepted): 18
Journal Publications (Published, In Press, and /or Accepted) from ASU: 13
Journal Publications Prior to ASU (All Published): 5
Manuscripts Submitted / In Revision from ASU: 4
Manuscripts in Preparation from ASU (to be submitted before December 2021): 3
Intellectual Property from ASU - Patents pending: 1
Journal Publications: J1. Zhang, R., Lu, Y., Adams, K.(#), Sefair, J.A.(*), Mellin, H., Acevedo, M.A. and Maciejewski, R. (2021). A
Visual Analytics Framework for Conservation Planning. Environmental Modeling & Software. Accepted.
J2. Contardo, C. and Sefair, J.A.(*) (2021). A Progressive approximation approach for the exact solution of
sparse large-scale binary interdiction games. INFORMS Journal on Computing. Accepted.
J3. Ma, Y., Chandra Pydi Medini, P., Nelson, J., Wei, R., Grubesic, T., Sefair, J.A., and Maciejewski, R.(*)
(2021). A Visual Analytics System for Oil Spill Response and Recovery. IEEE Computer Graphics and
Applications. Accepted.
1 First author equals the highest contribution. LEGENDS USED: (*)Corresponding Author; Bold Font: ASU Ph.D. Student for whom Dr.
Sefair is the primary advisor; Underline: ASU Master’s Student for whom Dr. Sefair is the primary advisor; (#)ASU undergraduate student; (¥)Ph.D. Student at another institution; (₸)Ph.D. Student at another institution for whom Dr. Sefair has significant mentoring responsibility; (=)Master’s Student at another institution; (&)Undergraduate student at another institution; (~)presenting author
Jorge A. Sefair
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J4. Sefair, J.A.(*), Guaje, O.(=) and Medaglia, A.L. (2021). Network-Based Column-Oriented Model for the
Generation of Correlated Bivariate Random Vectors. OR Spectrum. 43:777-808.
J5. Matin-Moghaddam, N. and Sefair, J.A.(*) (2021). Route Assignment and Scheduling with Trajectory
Coordination. IISE Transactions. 53(2):164-181.
J6. Jampani Hanumantha, G., Arici, B.T., Sefair, J.A.(*), and Askin, R.G. (2020). Demand Prediction and
Dynamic Workforce Allocation to Improve Airport Screening Operations. IISE Transactions. 52(12):1324-
1342. (Featured in ISE Magazine, 52(11), November 2020)
J7. Marx, A.J., Wang, C., Sefair, J.A., Acevedo, M.A. and Fletcher Jr.(*), R.J. (2020). samc: An R package for
connectivity modeling with spatial absorbing Markov chains. Ecography. 43(4):518-527.
J8. Sefair, J.A.(*), Espinosa, M., Medaglia, A.L., and Behrentz, E. (2019). Optimization model for urban air
quality policy design: A case study in Latin America. Computers, Environment and Urban Systems.
78:101385.
J9. Fletcher Jr., R.J.(*), Sefair, J.A., Wang, C., Poli, C., Smith, T., Bruna, E.M., Holt, R.D., Barfield, M., Marx,
A.J., and Acevedo, M.A. (2019). Towards a unified framework for connectivity that disentangles movement
and mortality in space and time. Ecology Letters. 22(10):1680-1689.
J10. Sefair, J.A.(*) and Smith, J.C. (2017). Exact Algorithms and Bounds for the Dynamic Assignment
Interdiction Problem. Naval Research Logistics. 64(5):373-387.
J11. Sefair, J.A.(*), Smith, J.C., Acevedo, M.A., and Fletcher, Jr., R.J. (2017). A defender-attacker model and
algorithm for maximizing weighted expected hitting time with application to conservation planning. IISE
Transactions. 49(12):1112-1128. (Featured in ISE Magazine, 49(11), November 2017)
J12. Sefair, J.A.(*), Méndez, C.Y., Babat, O.(¥), Medaglia, A.L., and Zuluaga, L.F. (2017). Linear solution
schemes for Mean-SemiVariance Project portfolio selection problems: An application in the oil and gas
industry. Omega. 68:39-48.
J13. Sefair, J.A. and Smith, J.C.(*) (2016). Dynamic shortest-path interdiction. Networks. 68(4):315-330.
J14. Acevedo, M.A.(*), Sefair, J.A., Smith, J.C., Reichert, B., and Fletcher, Jr., R.J. (2015). Conservation under
uncertainty: Optimal network protection strategies for worst-case disturbance events. Journal of Applied
Ecology. 52(6):1588-1597.
J15. Medaglia, A.L.(*) and Sefair, J.A. (2009). Optimizando la planeación en el sector público. EGOB: Revista de
Asuntos Públicos. 3:44-49.
J16. Castro-Lacouture, D.(*), Sefair, J.A., Flórez, L., and Medaglia, A.L. (2009). Optimization model for the
selection of materials using a LEED-based green building rating system in Colombia, Building and
Environment, 44(6):1162-1170.
J17. Molano, A.M., Medaglia, A.L.(*), Sarmiento, O.L. and Sefair, J.A. (2009). Modelo de planeación de áreas
urbanas para construir nuevos parques vecinales en Bogotá. Revista Planeación y Desarrollo, 39(2):140-173.
J18. Medaglia, A.L.(*), Hueth, D., Mendieta, J.C. and Sefair, J.A. (2008). Multiobjective model for the selection
and timing of public enterprise projects. Socio-Economic Planning Sciences. 42(1):31-45.
Journal Publications (under review): J19. Lozano, L. and Sefair, J.A.(*) Network Interdiction with General Integer Variables. Under Review.
J20. Tayyebi, J., Mitra, A. and Sefair, J.A.(*) (2021). Maximum capacity path interdiction problem. Under
Review.
J21. Fletcher Jr., R.J.(*), Sefair, J.A., Jaffé, R., Kortessis, N., Holt, R.D., Robertson, E., Duncan, S., Marx, A.(¥)
and Austin, J.(¥) (2021). Extending isolation by resistance to account for directed migration and mortality. 2nd
review in Molecular Ecology.
J22. Mehrani, S.(₸) and Sefair, J.A.(*) (2021). Robust Assortment Optimization under Partial Ranking-based
Choice Model and Product Unavailability. 2nd review in European Journal of Operational Research.
Book Chapters:
B1. Sefair, J.A., Molano, A.(=), Medaglia, A.L.(*), and Sarmiento, O.L. (2011). Locating neighborhood parks with
a lexicographic multiobjective optimization method. In Community-based Operations Research: Decision
Modeling for Local Impact and Diverse Populations. Michael P. Johnson (Ed.). International Series in
Operations Research & Management Science, Volume 167, Part 2, 143-171.
Jorge A. Sefair
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Other Scholarly Publications:
O1. Askin, R.G.(*), Sefair, J.A. (2021). Improving the efficiency of airport security screening checkpoints. ISE
magazine: Industrial and Systems Engineering at Work. 53(5):26-31 (Cover Story).
O2. Sefair, J.A. (*). (2020). Industrial Engineering tools help to improve airport security screening operations. ISE
magazine: Industrial and Systems Engineering at Work, 52(11), (Research: Inside IISE Journals).
O3. Sefair, J.A. (*). (2017). Industrial Engineering tools can help save endangered species. ISE Magazine:
Industrial and Systems Engineering at Work, 49(11), (Research: Inside IISE Journals).
Working Papers:
W1. Wang, C., Sefair, J.A. An integer programming approach for wildlife conservation corridor design with
geometry requirements. In preparation.
W2. Mitra, A., Sefair, J.A. An Exact Optimization Approach for Relay Node Location in Wireless Sensor
Networks. In preparation.
W3. Matin-Moghaddam, N. and Sefair, J.A. Fixed-charge Network Design with General Piecewise Linear Cost
Functions. In preparation.
Conference Papers:
C1. Pérez, E.(*), Taunton, L.(&), Sefair, J.A. (2021). A simulation-optimization approach to improve the allocation
of security screening resources in airport terminal checkpoints. In Proceedings of the 2021 Winter Simulation
Conference (forthcoming).
C2. Hurtado Medina, E.M.(=), Guaje, O., Medaglia, A.L.(*), and Sefair, J.A. (2019). A Metaheuristic Approach for
Correlated Random Vector Generation. In Proceedings of the XIII Metaheuristics International Conference.
C3. Zhou, S., Phielipp, M.J., Sefair, J.A., Walker, S.I., and Ben Amor, H(*). (2019). Clone Swarms: Learning to
Predict and Control Multi-Robot Systems by Imitation. In Proceedings of the 2019 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS 2019).
C4. Medaglia, A.L.(*) and Sefair, J.A. (2009). Generating correlated random vectors using mixed-integer
programming. 2009 Industrial Engineering Research Conference (IERC), Miami, FL, United States.
C5. Sefair, J.A.(*), Castro-Lacouture D., Medaglia, A.L. (2009). Material selection in building construction using
optimal scoring method (OSM). Samuel T. Ariaratnam and Eddy M. Rojas (editors). 2009 Construction
Research Congress, ASCE, Seattle, WA, United States. pp. 1079-1086.
C6. Castro-Lacouture, D., Sefair, J.A.(*), Flórez, L.(=), Medaglia, A.L. (2009). Optimization model for the selection
of materials using the LEED green building rating system. Samuel T. Ariaratnam and Eddy M. Rojas (editors).
2009 Construction Research Congress, ASCE, Seattle, WA, United States. pp. 608-617.
C7. Vargas, M.A.(=) (*), Sefair, J.A., Walteros, J.L., Medaglia, A.L., Rivera, L. (2008). Carpooling optimization: A
case study in Strasbourg (France). 2008 IEEE Systems and Information Engineering Design Symposium,
Charlottesville, VA, United States. pp. 89-94.
C8. Zuluaga, A.(=)(*), Sefair, J.A., and Medaglia, A.L. (2007). Model for the selection and scheduling of
interdependent projects. 2007 IEEE Systems and Information Engineering Design Symposium,
Charlottesville, VA, United States.
C9. Sefair, J.A.(*) and Medaglia, A.L. (2006). Selección y ordenamiento de proyectos de inversión con
restricciones de recursos de capacidad finita. XIII CLAIO, Montevideo, Uruguay.
C10. Sefair, J.A.(*) and Medaglia, A.L. (2005). Towards a model for selection and scheduling of risky projects.
Ellen J. Bass (editor). 2005 Systems and Information Engineering Design Symposium, Charlottesville, VA,
United States.
Patents and Intellectual Property: P1. Provisional patent application (with R. Askin, G. Hanumantha, B. Arici, C. Corallo, T. Munson). “Systems,
methods, and apparatuses for evaluating wait times and queue lengths at multi-station and multi-stage
screening zones via a deterministic decision support algorithm”.
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Talks and Posters:
Summary of Presentations
Invited Presentations – External: 5
Invited Conference Presentations, including students: 17
Non-refereed Conference Presentations: 45
T1. Sefair, J.A.(~) and Matin Moghaddam, N.* (2021). An exact model and algorithm for the multi-vehicle
route selection and scheduling problem with trajectory coordination. Invited talk to the USNA Optimization
and OR Conference.
T2. Sefair, J.A.(~) (2020) Route assignment and scheduling with trajectory coordination. Invited talk to the
GAMMA Seminar, University at Buffalo, NY.
T3. Mitra, A.(~), Tayyebi, J. and Sefair, J.A. (2020) A Polynomial Time Algorithm For The Maximum Capacity
Path Interdiction Problem. Virtual 2020 INFORMS Annual Meeting.
T4. Sefair, J.A.(~), Askin, R., Cheu, K. Dynamic Workforce Management at a Network of Screening Facilities.
DHS-CAOE Biennial Meeting (November). Washington, D.C.
T5. Sefair, J.A.(~) and Matin Moghaddam, N. An exact model and algorithm for the route assignment and
scheduling problem with trajectory coordination. School of Industrial and Systems Engineering Seminar
Series (April 19), University of Oklahoma, OK.
T6. Matin Moghaddam, N.(~) and Sefair, J.A. (2019) Large-scale network design with application to carbon
capture and storage. INFORMS Annual Meeting, Seattle, WA.
T7. Wang, C.(~) and Sefair, J.A. (2019) Wildlife Corridor Design Under Probabilistic Species Movement and
Geometry Constraints. INFORMS Annual Meeting, Seattle, WA.
T8. Arici, B.(~) and Sefair, J.A. (2019) Water Routing in River Networks. INFORMS Annual Meeting, Seattle,
WA.
T9. Matin Moghaddam, N. (~) and Sefair, J.A. (2019) Teacher-school Assignment with Forward-looking
Stability. INFORMS Annual Meeting, Seattle, WA.
T10. Guaje, O.(~), Medaglia, A.L., Sefair, J.A. (2019) A Hybrid Algorithm For Generating Multivariate
Correlated Random Vectors. INFORMS Annual Meeting, Seattle, WA.
T11. Sefair, J.A.(~) and Matin Moghaddam, N.* (2018). An exact model and algorithm for the multi-vehicle
route selection and scheduling problem with trajectory coordination. INFORMS Optimization Society
Conference, Denver, CO.
T12. Wang, C.(~) and Sefair, J.A. (2018). Optimal corridor design in fragmented landscapes. INFORMS Annual
Meeting, Phoenix, AZ.
T13. Guaje, O.(~), Sefair, J.A., and Medaglia, A.L. (2018). A Decomposition Approach for Generating Correlated
Random Vectors. INFORMS Annual Meeting, Phoenix, AZ.
T14. Matin Moghaddam, N.(~) and Sefair, J.A. (2018). Large-scale Network Design with Application to Carbon
Capture and Storage. INFORMS Annual Meeting, Phoenix, AZ.
T15. Sefair, J.A.(~) and Matin Moghaddam, N. (2018). An exact model and algorithm for the multi-vehicle route
selection and scheduling problem with trajectory coordination. Industrial Engineering Friday Seminar Series
(March 2), Clemson University, SC.
T16. Sefair, J.A.(~) and Matin-Moghaddam, N. (2017). Dynamic Routing Using Inter-vehicle Distance
Considerations. IISE Annual Conference, Pittsburgh, PA, United States.
T17. Matin-Moghaddam, N.(~) and Sefair, J.A. (2016). Dynamic Maximum Flow With Geographic Conflict
Considerations. INFORMS Annual Meeting, Nashville, TN, United States.
T18. Mehrani, S.(~) and Sefair, J.A. (2016). Assortment Optimization Under Worst-case In-store Consumer
Shopping Behavior. INFORMS Annual Meeting, Nashville, TN, United States.
T19. Sefair, J.A.(~) and Smith, J.C. (2016). Exact Algorithms and Bounds for the Dynamic Assignment
Interdiction Problem. IIE Annual Meeting - Industrial and Systems Engineering Research Sessions
(ISERC), Anaheim, CA, United States.
T20. Sefair, J.A.(~) and Smith, J.C. (2016). Exact Algorithms and Bounds for the Dynamic Assignment
Interdiction Problem. INFORMS Optimization Society Meeting, Princeton, NJ, United States.
Jorge A. Sefair
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T21. Sefair, J.A.(~) and Smith, J.C. (2015). Dynamic shortest-path interdiction. INFORMS Annual Meeting,
Philadelphia, PA, United States.
T22. Sefair, J.A.(~) and Smith, J.C. (2015). Dynamic shortest-path interdiction games. IIE Annual Meeting -
Industrial and Systems Engineering Research Sessions (ISERC), Nashville, TN.
T23. Smith, J.C.(~) and Sefair, J.A. (2015). Dynamic shortest-path interdiction. INFORMS computing society
conference, Richmond, VA, United States.
T24. Sefair, J.A.(~) and Smith, J.C. (2014). Shortest-path Interdiction with Dynamic Attacks. INFORMS annual
meeting, San Francisco, CA, United States.
T25. Sefair, J.A.(~), Acevedo, M.A., Smith, J.C. and Fletcher, Jr., R.J. (2013). Mitigating Interdiction Scenarios to
Enable Species Migration. INFORMS Annual Meeting, Minneapolis, MN, United States.
T26. Sefair, J.A.(~), Acevedo, M.A., Smith, J.C. and Fletcher, Jr., R.J. (2013). Defending and Interdicting
Probabilistic Species Migration. IIE Annual Meeting - Industrial and Systems Engineering Research
Sessions (ISERC), San Juan, Puerto Rico.
T27. Sefair, J.A.(~), Acevedo, M.A., Smith, J.C. and Fletcher, Jr., R.J. (2012). Selecting Land Preserves to Enable
Species Migration. INFORMS Annual Meeting, Phoenix, AZ, United States.
T28. Palacio, J.D.(~), Barrios, M., Flórez, W., Londoño, M. A., Medaglia, A. L., Mejía, M., Ortíz, J. D., Sánchez,
F., Sefair, J.A. (2012). Project selection and manpower planning in the Colombian Navy. INFORMS Annual
Meeting, Phoenix, AZ, United States.
T29. Ortíz, J.D.(~), Palacio, J.D., Sefair, J.A., and Medaglia, A. L. (2012). Modelo multicriterio para la selección y
programación de proyectos en la Armada Nacional de Colombia. IX Congreso Regional IIE. Bogotá,
Colombia.
T30. Londoño, M.A.(~), Palacio, J. D., Sefair, J.A., and Medaglia, A. L. (2012). Modelo para la planeación de
personal en la Armada Nacional de Colombia. IX Congreso Regional IIE. Bogotá, Colombia.
T31. Palacio, J.D.(~), Sefair, J.A., and Medaglia, A. L. (2012). Modelos de selección y programación de proyectos
con recursos limitados. IX Congreso Regional IIE. Bogotá, Colombia.
T32. Sefair, J.A.(~), Medaglia, A. L., Méndez, C. Y., Zuluaga, L. F. (2011). Linear solution schemes for the mean-
semivariance portfolio allocation model. INFORMS Annual Meeting, Charlotte, NC, United States.
T33. Palacio, J.D.(~), Sefair, J.A., and Medaglia, A. L. (2010). A MIP-based approach to the Multi-Mode
Resource Constrained Project Scheduling Problem with time lags. ALIO/INFORMS Joint International
Meeting, Buenos Aires (Argentina).
T34. Sefair, J.A.(~), Medaglia, A. L., Peña, C., Pérez, L. M., Navarrete, J. S. (2010). A recommender system for
carpooling based on the optimal scoring method. ALIO/INFORMS Joint International Meeting, Buenos
Aires (Argentina).
T35. Palacio, J.D.(~), Sefair, J.A., Medaglia, A. L. (2010). Una aproximacion al problema de programación de
proyectos con recursos limitados y multiples modos (MRCPCP) basada en programación entera. 5th
International Conference on Production Research, ICPR- Americas, Bogotá (Colombia).
T36. Sefair, J.A.(~), Méndez, C. Y., and Medaglia, A. L. (2009). Linear approximation for portfolio semivariance.
INFORMS Annual Meeting, San Diego, CA, United States.
T37. Sefair, J.A.(~), Medaglia, A. L., and Castro-Lacouture, D. (2009). Construction project selection and
scheduling under finite capacity resource constraints. IIE Annual Conference and Expo 2009, Miami, FL,
United States, May 2009.
T38. Castro-Lacouture, D.(~), Sefair J.A., Florez L., and Medaglia A. L. (2009). Optimization model for material
selection using the LEED. IIE Annual Conference and Expo 2009, Miami, FL, United States, May 2009.
T39. Medaglia, A.L.(~) and Sefair J.A. (2009). Generating correlated random vectors using mixed-integer
programming. IIE Annual Conference and Expo 2009, Miami, FL, United States.
T40. Medaglia, A.L.(~), Cárdenas, J. C., Bocarejo, J. P., Sefair, J.A., Rodríguez, A., Salazar, C., Molina, A., Pérez,
L. M., Jiménez, M. C., Peña, C. (2009). VIAJE web portal: carpooling for Universidad de los Andes.
Second Meeting on GIS Technologies, Universidad de los Andes.
T41. Castro-Lacouture, D.(~), Sefair, J.A., Flórez, L. y Medaglia, A. L. (2008). Modelo de optimización para la
selección de materiales de construcción en edificios verdes en Colombia usando un sistema basado en
LEED. XIV CLAIO. Cartagena, Colombia.
Jorge A. Sefair
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T42. Vargas, M.A.(~), Sefair, J.A., Walteros, J. L., Medaglia, A. L., Rivera, L. (2008). Modelo de optimización
para el problema de carpooling: una aplicación en Estrasburgo. XIV CLAIO. Cartagena, Colombia.
T43. Sefair, J.A.(~), Medaglia, A. L. and Cohen, M.-d. (2008). Optimal scoring method: an approximation to
ranking with multiple criteria. IIE Annual Conference and Expo, Vancouver, British Columbia, Canada.
T44. Sefair, J.A.(~), Méndez, C. Y. and Medaglia, A. L. (2008). Mean-semivariance model for project selection:
An illustrative example in the oil and gas industry. IIE Annual Conference and Expo, Vancouver, Canada.
T45. Vargas, M.A.(~), Sefair, J.A., Walteros, J. L., Medaglia, A. L. and Rivera, L. (2008). An optimization
approach to carpooling: an application in Strasbourg (France). IIE Annual Conference and Expo,
Vancouver, Canada.
T46. Castro-Lacouture, D.(~), Sefair, J.A., Florez, L., Medaglia, A. L. (2008). Optimization model for the
selection of materials using a LEED-based green building rating system in Colombia. Think Green Week.
Sustainability Poster Session at the Brook Byers Institute for Sustainable Systems (ISS). Georgia Institute of
Technology, Atlanta, GA, United States.
T47. Castro, E.(~), Sefair, J.A. and Medaglia, A. L. (2007). SAPS: A University decision support system for
campus expansion planning. IIE Annual Conference and Expo, Nashville, TN, United States.
T48. Méndez, C.Y.(~), Sefair, J.A. and Medaglia, A.L. (2007). Selección de proyectos en la industria del petróleo:
una aproximación a la semivarianza. XII Escuela Latinoamericana de Verano en Investigación de
Operaciones, Petrópolis, Brazil.
T49. Sefair, J.A.(~) and Medaglia, A. L. (2005). Aproximación a la selección y ordenamiento de proyectos bajo un
enfoque de incertidumbre. XI Escuela Lationamericana de Verano en Investigación de Operaciones, Villa de
Leyva, Colombia.
T50. Medaglia, A.L.(~), Mendieta, J. C., Sefair, J.A., and Hueth, D. (2004). Modelo de selección y ordenamiento
de proyectos para la optimización de planes de inversión. III Congreso Colombiano - I Conferencia Andina
de Investigación de Operaciones (CCIO-2004), Cartagena, Colombia.
Professional Activities and Service
Summary of Professional Activities and Service
International/national conferences committees: 7
International/national conferences sessions organized: 9
International/national conference sessions chaired: 5
International/national professional society leadership positions: 2
Peer Reviewer for 21 Journals
Proposal Review Service for 4 Funding Agencies
Engineering School‐level Committees: 1
Unit-level Committees: 5
Chair of 1 Faculty Search Committee
National and International Conference Organizing Committees:
Cluster Chair for Network Optimization for 2020 INFORMS Optimization Society Meeting.
Cluster Chair for Network Optimization for 2019 INFORMS Annual Meeting.
Organizing Committee Member for 2019 INFORMS ALIO International Conference.
Co-chair for Sponsored Sessions for 2018 INFORMS Annual Meeting. Nov 4-7, 2018. Term: 2017-2018.
IISE Annual Conference and Expo (Institute of Industrial and System Engineers) 2018 Organizing
Committee. Security Engineering Track Co-Chair (2017)
IISE Annual Conference and Expo 2017 Organizing Committee. Security Engineering Track Co-Chair (2016)
National Conference Sessions Organized:
INFORMS Annual Meeting 2019. “Network optimization models and applications”, “Network optimization
algorithms and applications”, and “Network optimization models in ecology and natural resources”.
IISE Annual Conference and Expo 2018. “Network Operations and Security”, Security Engineering Track.
INFORMS Optimization Society 2018. “Network Optimization Models, Algorithms, and Applications”.
Jorge A. Sefair
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INFORMS Annual Meeting 2017. “Network Optimization Models and Applications” and “Multistage
Network Optimization Models and Applications”.
INFORMS Annual Meeting 2016. “Network Optimization Models and Applications” and “Multistage
Network Optimization Models and Applications”.
National Conference Sessions Chaired:
INFORMS Annual Meeting 2017
IISE Annual Conference and Expo 2017
IISE Annual Conference and Expo 2016
INFORMS Annual Meeting 2016
INFORMS Annual Meeting 2015
Professional Societies Leadership and Activities:
Elected (by vote) Vice-chair for Network Optimization in INFORMS Optimization Society, 2018-2019.
Invited to be a member of the Consultative Committee for the Developing Countries branch of the
International Federation of Operations Research Societies (IFORS).
Member of the Pristker’s prize committee for best doctoral dissertation award (nationwide). Institute of
Industrial and Systems Engineers, IISE. Term: 2018-2019.
Journal Reviewing:
Operations Research
INFORMS Journal on Computing
Mathematical Programming
European Journal of Operational Research
IISE Transactions
Naval Research Logistics
Networks
Omega
Journal of Global Optimization
Annals of Operations Research
Decision Support Systems
RAIRO-Operations Research
Journal of Combinatorial Optimization
IEEE Transactions on Emerging Topics in
Computational Intelligence
Networks and Spatial Economics
Socio-Economic Planning Sciences
European Journal of Industrial Engineering
Environmental Modeling & Software
Computers, Environment and Urban Systems
Automation in Construction
Optimization and Engineering
Proposal Reviewing:
Center for Accelerating Operational Efficiency (CAOE), 2021
Office of Naval Research (ONR), 2020
National Science Foundation (NSF), 2016
Colombian Institute for Science and Technology (COLCIENCIAS), 2009-2011
Engineering School- and Unit-level Committees and Activities:
Graduate Program Committee (GPC) Member, Industrial Engineering, 2015-present.
Faculty Search Committees in SCAI:
o (2019-2020) Chair of faculty search committee in Industrial Statistics and Data Science.
o (2018-2019) Member of faculty search committee in “High Performance Big Data Systems”.
o (2017-2018) Member of faculty search committee in “Urban Infrastructures” (joint with the School
of Arts, Media, and Engineering).
o (2016-2017) Member of faculty search committee in “Advanced Manufacturing”.
Graduate College reviewer committee for the 2019-20 Outstanding Faculty Mentor Awards
INFORMS student chapter faculty advisor, 2015-present.
Decision Systems Seminar (DSS) coordinator (with Dr. Feng Ju), 2015-2016.
Organizer of the CAOE’s Operations Research for COVID-19 seminar, Spring 2021
Jorge A. Sefair
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Mentoring and Teaching
SUMMARY OF MENTORING:
Ph.D. Students Graduated: 4 (2 as chair, 2 as co-chair)
Ph.D. Students Current: 5 (4 as chair, 1 as co-chair)
M.S. Thesis Students Graduated: 6
Undergraduate Students (Research): 4
Student Fellowships and Awards: 5 (4 FURI, 1 MORE)
PhD Dissertations Supervised: 1. Chao Wang, Optimization Models and Algorithms for Wildlife Corridor and Reserve Design in
Conservation Planning. Defended: March 2021.
2. Xufeng (Rax) Yao, Tactical and Strategic Capacity Planning for Automobile Manufacturing. Defended:
April 2021. (Co-Chaired with Ronald Askin).
3. Navid Matin Moghaddam, Structural Decomposition Methods for Sparse Large-Scale Optimization.
Defended: May 2020.
4. Nourah Almatooq, Capacity Planning, Production and Distribution Scheduling for a Multi-Facility and
Multi-Product Supply Chain Network. Defended: May 2020 (Co-Chaired with Ronald Askin).
5. Berkin Arici. Discrete Approximations for Operational Models with Nonlinear Dynamics. Proposal
defended: May 2021. In progress, expected graduation 2022.
6. Ankan Mitra. In progress, expected graduation 2022.
7. Fatemeh Karamyar. In progress, expected graduation 2022.
8. Shreyas Ravishankar. In progress, expected graduation 2023.
9. Randy Grivel (Co-Chaired with Ronald Askin). In progress, expected graduation 2023.
M.S. Theses Supervised: 1. Andrei Larsen, Computer Vision: Improving Detection and Tracking for Occluded and Blurry Settings,
May 2021 (Co-advised with Ronald Askin).
2. Vishal Sairam Jaitra Surendran, An Exact Optimization Approach to Relay Node location in Wireless
Sensor Networks, April 2019.
3. Katherine Adams, Extensions of the Dual-resource Constrained Flexible Job-shop Scheduling Problem,
April 2019 (Co-advised with Ronald Askin).
4. Shreyas Ravishankar, Optimization Model and Algorithm for the Design of Connected and Compact
Conservation Reserves, July 2019.
5. Loy Lobo, Improved Mathematical Formulations for the Carbon Capture and Storage (CCS) Problem,
May 2017.
6. Oscar Guaje, Mixed-integer Programming Formulations and Decomposition Strategies for Large-scale
Correlated Random Vector Generation, January 2017 (Co-advised with Andres Medaglia, Universidad de
los Andes, Colombia).
Graduate and Undergraduate Mentorship:
FURI (Fulton Undergraduate Research Initiative) o Keira Plano, Virtual Queuing Strategies to Optimize Service Systems. Ongoing.
o Ameya Thatte, Identification of Critical Riparian Habitat of Western Yellow-billed Cuckoos Through an
Operations Research Modeling Approach, Ongoing.
o Katherine Adams, An Optimization-based Tool to Assist Conservation Planning Decisions, Spring 2018.
o Andy Smith, Optimization Tool for Connectivity in Conservation Planning, Spring 2018.
o Noah Livingston, An Optimization Model for Emergency Crew Location Within a Theme Park, Fall
2017.
Undergraduate Honors Thesis o Noah Livingston. An Optimization Model For Emergency Crew Location Within a Theme Park,
Industrial Engineering, Fall 2017.
Jorge A. Sefair
9
Undergraduate Capstone projects
o B. Chavez, B. Geric, E. Gilmore, M. Iacuelli, C. Maalouf, J. Panduro, S. Smith, D. Adams (Co-advised
with Ronald Askin). Operational Analysis of TSA screening process. Industrial Engineering Capstone,
Fall 2018 – Spring 2019.
o A. Staedicke (Co-advised with Xufeng Yao). EPICS Team Allocation Optimization. Industrial
Engineering Capstone, Fall 2019.
o G. Howell, A. Larsen, C. Buck, Z. Simmons, D. Powell (Co-advised with Ronald Askin). CCTV
Passenger Arrival Analyzer. Computer Systems Engineering Capstone. Fall 2019-Spring 2020.
o T. Munson, C. Corallo. (Co-advised with Ronald Askin) TSA Visual Analytics and Decision Support
System (VADSS). Industrial Engineering Capstone, Fall 2019-Spring 2020.
o F. Nunez, H. Aung, I. Coss (Co-advised with Ronald Askin). Visual Analytics for Airport Security
Checkpoints Queueing Analysis and Staffing. Industrial Engineering Capstone, Fall 2020-Spring 2021.
o E. Peterson, O. Otoole, V. Kumar (Co-advised with Ronald Askin). Computer Vision Algorithm for
Automated Passenger and Object Counts. Computer Systems Engineering Capstone, Spring 2021—.
Other Mentorship Activities
o Lead the TSA Summer Workshop for Minority Serving Institutions (MSI), 2019 (with B. Morris, D.
McCarville, R. Askin, T. Pavlic). University of Nevada – Las Vegas, 4-week training for 12
undergraduate students on data analytics, statistics, decision analysis, and operations research.
Sponsored by DHS through the Center for Accelerating Operational Efficiency (CAOE).
o Lead the Summer Experience in Quantitative Analytics (SEQAL) for Minority Serving Institutions
(MSI), 2021 (with B. Morris, D. McCarville, B. Ansanli, R. Askin, T. Pavlic). Online (nationwide) 4-
week training for 20 MSI undergraduate students on data analytics, statistics, decision analysis, and
operations research. Sponsored by DHS through the Center for Accelerating Operational Efficiency
(CAOE).
o Mentor. DHS Summer Research Team Program (to enhance the scientific leadership at MSIs)
Associate Professor Eduardo Perez and undergraduate student Logan Taunton, Texas State
University, 2020.
Professor Jiang Guo and MS student Jorge Sanchez, California State University, Los Angeles, 2021.
Master’s Opportunity for Research in Engineering (MORE) o Shreyas Ravishankar, Mathematical Programming Model for Landscape Connectivity and
Compactness in Conservation Planning, Fall 2018.
PhD Committees:
Ongoing
o Rui Zhang, Pursuing a PhD in Computer Science, ASU. Chair: Ross Maciejewski.
o Brittany Fischer, Optimal Design of Experiments for Multi-Response Systems. Pursuing a PhD in
Industrial Engineering, ASU. Chair: Douglas Montgomery.
o Viswanath Potluri, Developing a cyber-physical system for real-time proactive traffic management of
mixed fleet of vehicles with various levels of autonomy. Pursuing a PhD in Industrial Engineering,
ASU. Chair: Pitu Mirchandani
o Mehdi Saleh, Uncertainty Management in Security Constrained Economic Dispatch Via Two Stage
Stochastic Optimization, Pursuing a PhD in Industrial Engineering, ASU. Chair: Kory Hedman.
o J. Kyle Skolfield, On the Solution of DC Power Systems Planning and Operations Problems with
Discrete Transmission Considerations. Pursuing a PhD in Industrial Engineering, ASU. Chair:
Adolfo Escobedo.
Graduated
o Siddhartha Sampath. Towards More Intuitive Frameworks in Project Portfolio Selection. PhD in
Industrial Engineering, ASU. Spring 2018. Chair: Esma Gel.
Jorge A. Sefair
10
o Dening Peng. Network Maintenance and Capacity Management with Applications in Transportation.
PhD in Industrial Engineering, ASU. Spring 2018. Chair: Pitu Mirchandani.
o Derya Kilinc. Stochastic Models of Patient Access Management in Healthcare. PhD in Industrial
Engineering, ASU. Summer 2019. Chair: Esma Gel.
o Loay Alkhalifa. Global Optimization Using Piecewise Linear Approximation. PhD in Applied
Mathematics, ASU. Spring 2020. Chair: Hans Mittelmann.
o Yazhu Song. Locating Recharging/Refueling Points on Lines and Comb-trees. PhD in Industrial
Engineering, ASU. Spring 2020. Chair: Pitu Mirchandani.
o Gita Ketut, Modeling Cascading Network Disruption under Uncertainty into Hurricane Evacuation
Control. Summer 2020. Chair: Pitu Mirchandani.
o Saharnaz Mehrani, Applications of Analytics and Optimization in Healthcare Operations, Assortment
Planning, and Event Planning. PhD in Business Administration, University of Connecticut. Spring
2021. Chair: David Bergman.
MS committees: o Utkarsh Soni. The Perception of Graph Properties in Graph Layouts. MS in Computer Science.
Summer 2018. Chair: Ross Maciejewski.
o Prannoy Chandra Pydi Medini. A Spatial Decision Support System for Oil Spill Response and
Recovery. MS in Computer Science. Summer 2018. Chair: Ross Maciejewski.
o Benjamin Clayton. The Impact of Graph Layouts on the Perception of Graph Properties. MS in
Computer Science. Summer 2019. Chair: Ross Maciejewski.
o Ozkan Meric Ozcan. Chance-constrained optimization models for agricultural seed development and
selection. MS in Industrial Enginering. Summer 2019. Chairs: Dieter Armbruster and Esma Gel.
o Zishan Fu. GeoSparkSim: A Scalable Microscopic Road Network Traffic Simulator Based on Apache
Spark. MS in Computer Engineering. Spring 2019. Chair: Mohamed Sarwat.
SUMMARY OF ASU TEACHING:
Undergraduate Courses Taught, including New Course Development: 2 (1 in UG, 1 cross listed in MS)
Graduate Courses Taught, including New Course Development: 2 (1 Ph.D., 1 cross listed in UG)
Average Teaching Evaluation Score for Undergraduate Courses taught at ASU: 4.02
Average Teaching Evaluation Score for Graduate Courses taught at ASU: 4.54
Teaching Evaluations:
IEE 376: Operations Research Deterministic Techniques/Applications (Undergraduate, required)
IEE 620: Optimization 1 (PhD, required)
IEE 421/521: Urban Operations Research (Undergraduate/MS, elective)
Part 1: Student Evaluation of the Course
Part 2: Student Evaluation of Instructor
Overall: Overall Evaluation of the Course and Instructor
Term Course Part 1 Part 2 Overall %Response Term Course Part 1 Part 2 Overall %Response
2021 Spring IEE 376 3.5 3.86 2.67 40% 2018 Spring IEE 521 4.69 5 4.67 50%
2020 Fall IEE 620 4.59 4.63 4.58 80% 2017 Fall IEE 376 3.93 4.44 3.67 44%
2020 Spring IEE 376 4.3 4.75 4.33 53% 2017 Fall IEE 620 4.27 4.75 4.59 77%
2019 Fall IEE 620 4.36 4.64 4.33 63% 2017 Spring IEE 421 4.67 4.61 3.5 50%
2019 Spring IEE 521 4.14 4.67 4.25 33% 2017 Spring IEE 521 4.12 4.78 4.4 77%
2019 Spring IEE 421 3.71 3.94 3 29% 2016 Fall IEE 620 4.45 4.69 4.55 73%
2018 Fall IEE 376 3.24 3.92 3.28 52% 2016 Spring IEE 521 4.2 4.38 4.15 68%
2018 Fall IEE 620 4.45 4.83 4.8 50% 2015 Fall IEE 620 4.41 4.57 4.38 73%
2018 Spring IEE 421 4.67 4.93 5 100%
Jorge A. Sefair
11
Research Support
SUMMARY OF RESEARCH SUPPORT
Total amount of all pending proposals in which Prof. Sefair is the PI or co‐PI: $909,995
Total amount of all awards in which Prof. Sefair is the PI or co‐PI: $33,170,920
Prof. Sefair’s share (recognition) in all awards as PI or co‐PI: $3,642,153
Total amount of all awards in which Prof. Sefair is the PI: $1,511,057 (excludes CAOE2 [G5] and new
ONR grant [G2], see below for details), $2,518,370 (includes CAOE [G5] and ONR grant [G2])
Prof. Sefair’s share (recognition) of the total award amount received at ASU as PI or co‐PI as of
05/10/2021: $2,656,544
Prof Sefair’s share (recognition) of research expenditures as of 05/10/2021: $1,350,926
Grants Awarded and Sponsored projects:
G1. CAREER: Models and Algorithms for Strategic Conservation Planning, 2021-2026 (PI; Share: 100%;
Total award: $511,057). Sponsor: National Science Foundation (NSF).
G2. Game-Theoretic Task Allocation and Adversarial Action, 2021-2024 (PI; Share: 100%; Total award:
$205,820). Sponsor: DOD-NAVY: Office of Naval Research (ONR).
G3. D-ISN: TRACK 1: A Holistic Approach to Discovery, Modeling, and Interdiction of Drug and Human
Trafficking Networks in the U.S. Southwest, 2021-2025 (PI; Share: 40%; Total award: $1,000,000).
Sponsor: National Science Foundation (NSF). With (Co-PIs): A. Sen (ASU), T. Grubesic (UT-Austin), and
D. Roe-Sepowitz (ASU).
G4. REsilience & Stability In DENse Terrains (RESIDENT), 2020-2022 (Co-PI; Share: 32%; Total award:
$675,000.00). Sponsor: DOD-DARPA: Defense Sciences Office (DSO). With: E. Bienenstock (PI, ASU),
R. Halden (Co-PI, ASU).
G5. Center for Accelerating Operational Efficiency (CAOE), 2018—. Sponsor: Department of Homeland
Security:
o 2021 (PI; Share: 10%; Total Award: $3,968,536) Projects: (i) Dynamic Workforce Management at a
Network of Screening Facilities – Year 2. With (Co-PIs): R. Askin (ASU), K. Cheu (UT-El Paso), J.
Espiritu (UT-El Paso), (ii) Summer Experience in Quantitative Analytics (SEQAL). With (Co-PIs): R.
Maciejewski (ASU), R. Askin (ASU), T. Pavlic (ASU), D. McCarville (ASU), B. Morris (U. Nevada-
Las Vegas), B. Aksanli (San Diego State).
o 2020 (PI; Share: 9%; Total Award: $4,496,000) Projects: (i) Dynamic Workforce Management at a
Network of Screening Facilities. With (Co-PIs): R. Askin (ASU), K. Cheu (UT-El Paso), J. Espiritu
(UT-El Paso) (ii) Passenger Arrival Estimation and Dynamic Resource Allocation for Security
Checkpoints – An Educational Experience. With (Co-PIs): R. Maciejewski (ASU), R. Askin (ASU), T.
Pavlic (ASU), D. McCarville (ASU), B. Morris (U. Nevada-Las Vegas).
o 2019 (Share: 4%; Total Award: $4,317,150). Project: (as Co-PI) Dynamic Resource Allocation for
Predicted Demands at a Network of Screening Facilities – Year 2. With: R. Askin (PI, ASU), K. Cheu
(Co-PI, UT-El Paso), J. Espiritu (Co-PI, UT-El Paso).
o 2018 (Share: 4%; Total Award: $3,141,753). Project: (as Co-PI) Dynamic Resource Allocation for
Predicted Demands at a Network of Screening Facilities. With: R. Askin (PI, ASU), K. Cheu (Co-PI,
UT-El Paso), J. Espiritu (Co-PI, UT-El Paso)
G6. Customer Churn Prediction Tool Project, 2020 (Co-PI; Share: 50%; Total award: $124,132.00). Sponsor:
Shamrock Farms. With E. Gel (PI, ASU).
G7. INFEWST1: Linking Current and Future Hydrologic Change to Hydropower Human Nutrition and
Livelihoods in the Lower Mekong Basin, 2018-2020 (Co-PI; Share: 20%; Total Award: $2,410,683).
Sponsor: National Science Foundation (NSF). With: J. Sabo (PI, ASU), S. Win (Co-PI, ASU), M.
Hanemann (Co-PI, ASU), G. Holtgrieve (Co-PI, U. Washington).
2 Distinction made as the ASU information system does not provide information per project for the CAOE
Center of Excellence.
Jorge A. Sefair
12
G8. Predictive Science for Conservation Planning, 2018-2019 (Co-PI; Share: 50%; Total Award: $135,000).
Sponsor: LDF (conservation foundation). With: R. Maciejewski (PI, ASU).
G9. Long-Term Teacher-School Matching Algorithm, 2016 (Co-PI; Share: 50%; Total Award: $19,825).
Sponsor: ASU’s Mary Lou Fulton Teachers College (MLFTC) – Internal Grant. With. M. Pivovarova (PI,
ASU)
Honors and Awards
NSF CAREER award. Operations Engineering (OE) program, 2021.
Elected (by vote) Vice-chair for Network Optimization in INFORMS Optimization Society. Term: 2018-
2019.
Ira A. Fulton Top 5% Teaching Award. Arizona State University, 2018.
Runner-up. 2015 INFORMS Computing Society (ICS) student paper award.
Graduate Student Research Award 2015. Department of Industrial and Systems Engineering, University of
Florida.
Advisor to Juan S. Navarrete, Sandra J. La Rota, and Camilo Peña, 2nd place in the VIII Regional Conference,
IIE Central and South America Region, Technical Paper Competition, Bogotá, Colombia, 2011.
Outstanding Research Instructor (ranked 1st out of 37). School of Engineering. Universidad de los Andes,
2009.
Co-author (with A. Molano, O.L. Sarmiento, and A.L. Medaglia), 1st prize in the paper competition "The
role of planning for economic development" organized by the Departamento Nacional de Planeación of
Colombia, 2008.
Co-author (with D. Castro-Lacouture, A.L. Medaglia, and L. Flórez), 2nd prize in the Sustainability Poster
Session for "Optimization model for the selection of materials using a LEED-based green building rating
system in Colombia." Brook Byers Institute for Sustainable Systems (ISS) at Georgia Institute of Technology,
Atlanta, GA, 2008.
Co-advisor (with A.L. Medaglia and J.L. Walteros) to Miguel Angel Vargas, 2nd place in the V Regional
Conference Technical Paper Competition, IIE Central and South American Region, Paipa, Colombia, 2008.
Media coverage
Summer Research Experience at UNLV, July 24, 2019, URL: https://caoe.asu.edu/summer-research-
experience-unlv
Students in depth: ASU capstone project with DHS TSA, January 30, 2019, URL:
https://caoe.asu.edu/news/students-depth-asu-capstone-project-dhs-tsa
Improving airport checkpoints continues amid COVID-19, July 16, 2020, URL: https://caoe.asu.edu/improving-airport-checkpoints-continues-amid-covid-19
Summer Research Team Program for Minority Serving Institutions: Researcher Spotlight, July 16, 2020,
URL: https://caoe.asu.edu/summer-research-team-program-minority-serving-institutions-researcher-
spotlight
Engineering better airline passenger security, October 15, 2020, URL: https://news.asu.edu/20201015-
engineering-better-airline-passenger-security
Sustainable by design: ASU’s Jorge Sefair recognized for research to make nature preserves more effective,
May 12, 2021, URL: https://fullcircle.asu.edu/faculty/sustainable-by-design/
MSI Summer Research Team receives follow on funding, April 28, 2021, URL: https://caoe.asu.edu/msi-
summer-research-team-receives-follow-funding
Improving airport checkpoint efficiency, URL: https://caoe.asu.edu/improving-airport-checkpoint-
efficiency