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1 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). 20112015 M.Sc., Industrial Engineering Universidad de los Andes (Bogotá, Colombia). 20062008 B.A., Economics (cum laude) Universidad de los Andes (Bogotá, Colombia) 20002006 B.Sc., Industrial Engineering (Honors degree) Universidad de los Andes (Bogotá, Colombia) 20002005 Employment Arizona State University (Tempe, AZ) Assistant Professor. School of Computing and Augmented Intelligence 2015Affiliate Faculty. Center for Biodiversity Outcomes (CBO) 2018Affiliate Faculty. College of Public Service and Community Solutions, Center for Spatial Reasoning & Policy Analytics (CSRPA) 2017Senior Sustainability Scientist. Julie Ann Wrigley Global institute of Sustainability 2016Affiliate Faculty. Simon Levin Mathematical, Computational and Modeling Sciences Center 2016Affiliate Faculty. School of Geographical Sciences and Urban Planning, Transdisciplinary Transportation Studies 2015Universidad de los Andes (Bogotá, Colombia) Instructor (Teaching and Research). Department of Industrial Engineering 20082011 Publications, Intellectual Property, and Presentations 1 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

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Page 1: JORGE ALBERTO SEFAIR CRISTANCHOjsefair/CVJorgeSefair-all.pdf · 2021. 7. 28. · Jorge A. Sefair 4 Talks and Posters: Summary of Presentations Invited Presentations – External:

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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

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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.

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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.

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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.

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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”.

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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

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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.

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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.

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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%

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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.

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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