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School of Business

 

Miguel Lejeune

photo - Miguel Lejuene

Miguel Lejeune

Professor of Decision Sciences; Professor of Electrical and Computer Engineering; Professor of Engineering Management and Systems Engineering

Contact:

Office Phone: (202) 994-6576
2201 G Street NW, Suite 406 Washington, D.C. 20052

Dr. Miguel Lejeune is a tenured Full Professor of Decision Sciences at the GW School of Business. He also has courtesy appointments at the Departments of Electrical and Computer Engineering and Engineering Management and Systems Engineering at the GW School of Engineering & Applied Science.

His research lies at the intersection of theory and practice, with:

  • Methodological focus on stochastic programming, distributionally robust optimization, optimization under decision-dependent uncertainty, queuing, and mixed-integer nonlinear programming; and

  • Applications spanning healthcare (drone applications for response to cardiac arrests and drug overdoses), supply chain and disaster management (search and rescue of victims; delivery of disaster relief commodities and medical kits), security and military operations (evacuation of injured soldiers from the battlefield), energy and power systems (mobile power sources), wildfire management (resilience of power networks against wildfires), and finance (portfolio optimization and credit risk).

A defining feature of his research is the combination of:

  • Publications in top-tier journals, including Operations Research, Management Science, INFORMS Journal of Computing, Manufacturing and Service Operations Management, Production and Operations Management, Mathematical Programming, Journal of Global Optimization, Networks, and IEEE Transactions on Power Systems; and

  • Sustained success in securing research funding. Dr. Lejeune has secured more than $5.5 million in research funding from agencies including the National Science Foundation (NSF), the Office of Naval Research (ONR), the Army Research Office (ARO), and IBM. His research is currently supported by three grants from the National Science Foundation (NSF):

  • AMPS: Risk-Averse Optimization for Stressed Power Grids: Models, Theory, and Algorithms (2024–2027).

  • Collaborative Research: A Risk-based Real-Options Approach for Infrastructure Systems Protection Investment (2025–2028).

  • Collaborative Research: NNA Research: Foundations for Improving Resilience in the Energy Sector against Wildfires on ALaskan Lands (FIREWALL) (2022–2026). This project is a $2.82M 4-year multi-institutional and multidisciplinary national effort related to Navigating the New Arctic (NNA) which is one of NSF's 10 Big Ideas.

Dr. Lejeune serves as an Associate Editor for Operations Research, INFORMS Journal on Computing, Mathematical Programming, Computational Optimization and Applications, and Open Journal on Mathematical Optimization. He is also on the Advisory Board of OMEGA.

Dr. Lejeune is the recipient of the 2019 Koopman Award of the INFORMS Society, the 2024 Excellence Research Award in Applied Mathematics from the Washington Academy of Science, a CAREER/Young Investigator Research Grant from the Army Research Office, and the IBM Smarter Planet Faculty Innovation Award.  

Dr. Lejeune is a Fellow of the Washington Academy of Science and was an elected board committee member (July 2013 – June 2019) of the Stochastic Programming Society.

He received the 2022 Best Paper Award from the Journal of Global Optimization for the paper “Data-Driven Distributionally Robust Chance-Constrained Optimization with Wasserstein Metric” co-authored with PhD student Ran Ji. He is also the recipient of the 2025 Best Paper Award from the INFORMS Transportation Science and Logistics (TSL) Society for the paper “Drone-Delivery Network for Opioid Overdose: Nonlinear Integer Queueing-Optimization Models and Methods”. Operations Research 73 (1), 86–108, 2025 co-authored with MS student Wenbo Ma.

At GWU, Dr. Lejeune received the 2020 and 2024 Dean’s Best Senior Faculty Research Award (GW School of Business) and has been an Ave Tucker Research Fellow since 2014. In 2024, he received the “Formidable Force” Teaching Award from the full-time MBA student cohort.

Dr. Lejeune has held visiting positions at Carnegie Mellon University, Georgetown University, the University of California – Irvine, the Foundation Getulio Vargas in Rio de Janeiro, Paris-Saclay University, CentraleSupélec, Laboratoire Signaux et Systèmes in Paris, the Naval Postgraduate School, and the University of Maryland.

  1. Risk-Adaptive Local Decision Rules. Operations Research 73 (4), 2125-2145, 2025. With J. Royset.
  2. Drone-Delivery Network for Opioid Overdose - Nonlinear Integer Queueing-Optimization Models and Methods. Operations Research 73 (1), 86-108, 2025. With W. Ma.
  3. Stochastic Optimization Model with Exogenous and Decision-Dependent Uncertainty for Medical Evacuation. INFORMS Journal on Computing. Accepted, 2026. With F. Margot, A.D. de Oliveira.
  4. Response Time Minimization for Cardiac Arrests. Production and Operations Management 34 (9), 2618-2640. 2025. With F. Margot.
  5. A Heuristic for Complementarity Problems Using Difference of Convex Functions. INFORMS Journal on Computing. Accepted, 2026. With D. Fiocco, S. Gabriel, T.K. Boomsma, M. Schmidt.
  6. Distributionally Robust Fractional Optimization of Probability of Exceedance. Journal of Global Optimization. Accepted, 2026. With H.-N. Nguyen.
  7. Stochastic Optimization under Decision-Dependent Uncertainty: Overview and New Chance-Constrained Models. SPS Newsletter - The Newsletter of the Stochastic Programming Society 4 (1), 14-18, 2025.
  8. Relaxations for Probabilistically Constrained Stochastic Programming Problems: Review and Extensions. Annals of Operations Research 354, 1227-1248, 2025. With A. Prekopa.
  9. On the Use of Battery-Electric Locomotive as a Grid-Support Service in Electric Power Systems. IEEE Transactions on Power Systems 40 (1), 701-714, 2025. With F. Kochakkashani, P. Dehghanian.
  10. Distributionally Robust Portfolio Optimization under Marginal and Copula Ambiguity. Journal of Optimization Theory and Applications 203, 2870–2907, 2024. With Z. Fan, R. Ji.
  11. Multi-Agent Search for a Moving and Camouflaging Target. Naval Research Logistics 71, 532-552, 2024. With J. Royset, W. Ma.
  12. Quasi Second-Order Stochastic Dominance Model for Balancing Wildfire Risks and Power Outages due to Proactive Public Safety De-Energizations. IEEE Transactions on Power Systems 39 (2), 2528-2542, 2024. With J. Su, S. Mehrani, P. Dehghanian.
  13. Profit-Based Unit Commitment Models with Price-Responsive Decision-Dependent Uncertainty. European Journal of Operational Research 314(3), 1052-1064, 2024. With P. Dehghanian, W. Ma.
  14. On the Use of Mobile Power Sources in Distribution Networks under Endogenous Uncertainty. IEEE Transactions on Control of Network Systems 10(4), 1937-1949, 2023. With J. Su, D. Anokhin, P. Dehghanian.
  15. Data-Driven Project Portfolio Selection: Decision-Dependent Stochastic Programming Formulations with Reliability and Time to Market Requirements. Computers & Operations Research 2023, 105537. With J. Kettunen.
  16. Liquidity-constrained Index Tracking Optimization Models. Annals of Operations Research 330, 73-118, 2023. With E.B.F. Vieira, T.P. Filomema, L.R. Sant'Anna.
  17. Distributionally Robust Optimization under Decision-Dependent Ambiguity Set with Applications to Machine Scheduling and Humanitarian Logistics. INFORMS Journal on Computing 34 (2), 729-751, 2022. With N. Noyan, G. Rudolf.
  18. Spatiotemporal Data Set of Out-of-Hospital Cardiac Arrests. INFORMS Journal on Computing 34 (1), 4-10, 2022. With J. Custodio.
  19. Distributionally Robust Portfolio Optimization with Linearized STARR Performance Measure. Quantitative Finance 22 (1), 113-127, 2022. With R. Ji, Z. Fan.
  20. Price-Based Unit Commitment with Decision-Dependent Uncertainty in Hourly Demand. IET Smart Grid 5 (1), 12-24, 2022. With J. Su, P. Dehghanian.
  21. Mobility-As-A-Service for Resilience Delivery in Power Distribution Systems. Production and Operations Management 30 (8), 2492-2521, 2021. With D. Anokhin, P. Dehghanian, J. Su.
  22. Data-Driven Distributionally Robust Chance-Constrained Optimization with Wasserstein Metric. Journal of Global Optimization 79, 779-811, 2021. With R. Ji.
  23. A Framework for Solving Chance-Constrained Linear Matrix Inequality Programs. INFORMS Journal on Computing 33 (3), 1015–1036, 2021. With R. Karimi, J. Cheng.
  24. Data-Driven Optimization of Reward-Risk Ratio Measures. INFORMS Journal on Computing 33 (3), 1120–1137, 2021. With R. Ji.   
  25. Waterfall and Agile Product Development Approaches: Disjunctive Stochastic Programming Formulations. Operations Research 68 (5), 1356-1363, 2020. With J. Kettunen.
  26. Risk-Based Loan Pricing: Portfolio Optimization Approach with Marginal Risk Contribution. Management Science 66 (8), 3735-3753, 2020. With S. Chun.
  27. Optimal Power Flow (OPF) Models with Probabilistic Guarantees: A Boolean Approach. IEEE Power and Energy Society Letters 35 (6), 4932-4935, 2020.  With P. Dehghanian.
  28. Electric Power Grids Under High-Absenteeism Pandemics: History, Context, Response, and Opportunities. IEEE Access 8, 215727-215747, 2020. With B. Wortmuth, S. Wang, P. Dehghanian, M. Barati, A. Estebsari, T.P. Filomena, M. Heidari Kapourchali.
  29. Distributionally Robust Optimization AUC Support Vector Machine Models. Operations Research Letters 48 (4): 460-466, 2020. With W. Ma.
  30. Regularized Deterministic and Stochastic Dual Dynamic Programming and Application to Portfolio Selection with Direct Transaction and Market Impact Costs. Optimization and Engineering 21, 1133-1165, 2020. With V. Guigues, W. Tekaya.
  31. Planning Online Advertising Using Gini Indices. Operations Research 67 (5), 1222-1245, 2019. With J. Turner.
  32. Note on a Chance-Constrained Programming Framework to Handle Uncertainties in Radiation Therapy Treatment Planning. European Journal of Operational Research 75 (20), 793-794, 2019. With J. Custodio, A. Zavaleta.
  33. Resource Deployment and Donation Allocation for Epidemic Outbreaks. Annals of Operations Research 283, 9-32, 2019. With A. Anparasan.
  34. Aeromedical Battlefield Evacuation under Endogenous Uncertainty in Casualty Delivery Times. Management Science 64 (12), 5481-5496, 2018. With F. Margot.
  35. Recent Advances in the Theory and Practice of Logical Analysis of Data. European Journal of Operational Research (Invited Review) 275 (1), 1-15, 2018. With V. Lozin, I. Lozina, A. Ragab, S. Yacout.
  36. Data Laboratory for Supply Chain Response Models During Epidemic Outbreaks. Annals of Operations Research 270 (6), 1-12, 2018. With A. Anparasan.
  37. A Fractional Stochastic Integer Programming Problem for Reliability-to-Stability Ratio in Forest Harvesting. Computational Management Science 15 (3), 583-597, 2018. With J. Kettunen.
  38. Risk-Budgeting Multi-Portfolio Optimization with Portfolio and Marginal Risk Constraints. Annals of Operations Research 262 (2), 547-578, 2018. With R. Ji.
  39. Managing Reliability and Stability Risks in Forest Harvesting. Manufacturing & Service Operations Management 19 (4), 620-638, 2017. With J. Kettunen.
  40. Analyzing the Response to Epidemics: Concept of Evidence-Based Haddon Matrix. Journal of Humanitarian Logistics and Supply Chain Management 7 (3), 266-283, 2017. With A. Anparasan.
  41. Portfolio Optimization Using Mean-Gini Criteria: Some Extensions and Comparisons. Annals of Operations Research 248 (1–2), 305-343, 2017. With R. Ji, S. Prasad.
  42. Multistage Stochastic Asset-Liability Management Model with Integrated Chance Constraint - Application to Brazilian Market. Optimization and Engineering 18 (2), 349-368, 2017. With A. Delgado de Oliveira, T. Filomena, M. Scherer Perlin, G. Ribeiro de Macedo.
  43. Solving Chance Constrained Problems with Random Technology Matrix and Stochastic Quadratic Inequalities. Operations Research 64 (4), 939-957, 2016. With F. Margot.
  44. Multi-Objective Probabilistically Constrained Programs with Variable Risk: Models for Multi-Portfolio Financial Optimization. European Journal of Operational Research 252 (2), 522–539, 2016. With S. Shen.
  45. Stochastic Network Design for Disaster Preparedness. IIE Transactions 47 (4), 329-357, 2015. With X. Hong, N. Noyan.
  46. Threshold Boolean Form for Joint Probabilistic Constraints with Random Technology Matrix. Mathematical Programming 147 (1-2), 391-427, 2014. With A. Kogan.
  47. Warm-Start Heuristic for Stochastic Portfolio Optimization with Fixed and Proportional Transaction Costs. Journal of Optimization Theory and Applications 161 (1), 308-329, 2014. With T. Filomena.
  48. Public Facility Location Using Dispersion, Population, and Equity Criteria. European Journal of Operational Research 234 (3), 819-829, 2014. With R. Batta, S. Prasad.
  49. How Supply Chain Competency Affects FDI Decisions: Some Insights. International Journal of Production Economics 147, 239-251, 2014. With P. Bagchi, A. Alam.
  50. Construction of Risk-Averse Enhanced Index Funds. INFORMS Journal on Computing 25 (4), 701-719, 2013. With G. Samatli-Paç.
  51. Effectiveness-Equity Models for Facility Location Problems on Tree Networks. Networks 62 (4), 243-254, 2013. With S. Prasad.
  52. Probabilistic Modeling of Multiperiod Service Levels. European Journal of Operational Research 230, 299-312, 2013.
  53. Pattern-Based Modeling and Solution of Probabilistically Constrained Optimization Problems. Operations Research 60 (6), 1356-1372, 2012.
  54. Stochastic Portfolio Optimization with Proportional Transaction Costs: Convex Reformulations and Computational Experiments. Operations Research Letters 40 (1), 207-212, 2012. With T. Filomena.
  55. A Logical Analysis of Banks’ Financial Strength Ratings. Expert Systems with Applications 39 (9), 7808-7821, 2012. With P.L. Hammer, A. Kogan.
  56. Game Theoretical Approach for Reliable Enhanced Indexation. Decision Analysis 9 (2), 146-155, 2012.
  57. Pattern Definition of the p-Efficiency Concept. Annals of Operations Research 200 (1), 23-36, 2012.
  58. Desempenho do Modelo Estocástico de Média-Variância Para o Mercado Brasileiro de Ações. Produto & Produção 13 (3), 63-74, 2012. With H.H. Hoeltgebaum, T. Filomena, D. Borenstein, F.A. Ziegelmann.
  59. A VaR Black-Litterman Model for the Construction of Absolute Return Fund-of-Funds. Quantitative Finance 11 (10), 1489-1501, 2011.
  60. Optimization for Simulation: LAD Accelerator. Annals of Operations Research 188, 285-305, 2011. With F. Margot.
  61. Reverse Engineering Country Risk Ratings: Statistical and Combinatorial Non-Recursive Models. Annals of Operations Research 188, 185-213, 2011. With P.L. Hammer, A. Kogan.
  62. Mathematical Programming Generation of p-Efficient Points. European Journal of Operational Research 207 (2), 590-600, 2010. With N. Noyan.
  63. MIP Reformulations of the Probabilistic Set Covering Problem. Mathematical Programming 121 (1), 1-31, 2010. With A. Saxena, V. Goyal.
  64. An Exact Solution Approach for Integer Constrained Portfolio Optimization Problems under Stochastic Constraints. Operations Research 57 (3), 650-670, 2009. With P. Bonami.
  65. Preprocessing Techniques and Column Generation Algorithms for Stochastically Efficient Demand Trajectories. Journal of the Operational Research Society 59, 1239-1252, 2008.
  66. Showcase Scheduling at Fred Astaire Dance Studio. Interfaces 38 (3), 176-186, 2008.With N. Yakova.
  67. Integer Programming Solution Approach for Inventory-Production-Distribution Problems with Direct Shipments. International Transactions in Operational Research 15, 259-281, 2008. With F. Margot.
  68. An Efficient Trajectory Method for Probabilistic Inventory-Production-Distribution Problems. Operations Research 55 (2), 378-394, 2007. With A. Ruszczyński.
  69. Modeling Country Risk Ratings Using Partial Orders. European Journal of Operational Research 175 (2), 836-859, 2006. With P.L. Hammer, A. Kogan.
  70. A Variable Neighborhood Decomposition Search Methodology for Supply Chain Management Planning Problems. European Journal of Operational Research 175 (2), 959-976, 2006.
  71. On Characterizing the 4 C's in Supply Chain Management. Journal of Operations Management 23 (1), 81-100, 2005. With N. Yakova.
  72. A Coordinate-Columnwise Exchange Algorithm for the Construction of Supersaturated, Saturated and Non-Saturated Designs. American Journal of Mathematical and Management Sciences 23 (1-2), 109-142, 2003. Also appeared in: Modern Mathematical, Management, and Statistical Sciences II:Advances in Theory & Application. Eds: E.J. Dudewicz, B.L. Golden, Z. Govindarajulu. American Sciences Press, Columbus, OH, 2004.
  73. Heuristic Optimization of Experimental Designs. European Journal of Operational Research 147 (3), 484-498, 2003.
  74. Awareness of Distributed Denial of Service Attacks’ Dangers: Role of Internet Pricing Mechanisms. NETNOMICS:Economic Research and Electronic Networking 4 (2), 145-162, 2002.
  75. Measuring the Impact of Data Mining on Churn Management. Internet Research: Electronic Networking Applications and Policy 11 (5), 375-387, 2001.
  76. Boolean Reformulation Method for Linear and Nonlinear Joint Chance Constraints. Encyclopedia of Optimization. Eds: P.M. Pardalos, O.A. Prokopyev. Springer. Accepted, 2026.
  77. UAV Search and Routing Planning In a Disaster Area. Proceedings of the 12th Triennial Symposium on Transportation Analysis conference (TRISTAN XII). Okinawa, Japan, 2025. With N. Oladzad, E.Jose, R. Batta.
  78. Prompt and Reliable Medical Evacuation with Air Ambulances. Proceedings of the 12th Triennial Symposium on Transportation Analysis conference (TRISTAN XII). Okinawa, Japan, 2025. With F. Margot, A.D. de Oliveira.
  79. Stochastic Mixed-Integer Nonlinear Programming Model for Drone-Based Healthcare Delivery. Winter Simulation Conference Proceedings. Eds: N. Mustafee, K.-H.G. Bae, S. Lazarova-Molnar, M. Rabe, C. Szabo, P. Haas, Y.-J. Son. National Harbor, MD, December 2019. With J. Custodio.
  80. A Mixed-Integer Distributionally Robust Chance-Constrained Model for Optimal Topology Control in Power Grids with Uncertain Renewables. Proceedings of the 13th IEEE Power and Energy Society (PES) PowerTech Conference. Milano, Italy, 2019. With M. Nazemi, P. Dehghanian.
  81. Interactive Portfolio Optimization Using Mean-Gini Criteria. Financial Decision Aid using Multiple Criteria Models. Eds: H. Masri, B. Pérez-Gladish, C. Zopounidis. Springer, 49-91, 2018. With R. Ji, S. Prasad.
  82. Chance-Constrained Programming with Decision-Dependent Uncertainty. Proceedings of the Workshop New Directions in Stochastic Optimisation. Editors: J. De Loera, D. Dentcheva, G.C. Pflug, R. Schultz. Report 38/2018, 2018, 31. Mathematisches Forschungsinstitut Oberwolfach, Germany. With F. Margot, A. Delgado de Oliveira.
  83. Managing Reliability and Stability Risks in Forest Harvesting. INFORMS Editor's Cut on Feeding the World with Analytics. Editors: R. Lougee, S. Bansal. With J. Kettunen.
  84. Dynamic Portfolio Optimization with Risk-Aversion Adjustment Utilizing Technical Indicators. 20th International Conference on Information Fusion Proceedings, Xi'an, China, 1787-1794, 2017. With R. Ji, S. Prasad.
  85. Stochastic Optimization Investment Models with Portfolio and Marginal Risk Constraints. Advances and Trends in Optimization with Engineering Applications. SIAM. Editors: S. Ahmed, M. Anjos, T. Terlaky, 427-436, 2017.
  86. Portfolio Optimization with Combinatorial and Downside Return Constraints. Springer Proceedings in Mathematics and Statistics: Proceedings Volume of the MOPTA 2012 Conference 62, 31-50, 2013.
  87. Combinatorial Methods for Constructing Credit Risk Ratings. 2010. In: Handbook of Quantitative Finance and Risk Management. Eds: C.-F. Lee, A.C. Lee, J. Lee. Springer, 639-664. With A. Kogan. Also in: Handbook of Financial Econometrics and Statistics. Eds: C.-F. Lee, J. Lee. Springer, 2013.
  88. A Coordinate-Columnwise Exchange Algorithm for the Construction of Supersaturated, Saturated and Non-Saturated Designs. 2004. In: Modern Mathematical, Management, and Statistical Sciences II:Advances in Theory & Application. Eds: E.J. Dudewicz, B.L. Golden, Z. Govindarajulu. American Sciences Press. Columbus, OH, 2004.
  89. Optimization of Experimental Designs. 15th International Workshop on Statistical Modeling. Bilbao, Spain, 356-359, 2001.
  90. A Methodology for Probabilistic Inventory-Production-Distribution Problems. UMI Dissertation 3131759. ProQuest. Ann Arbor, MI, 2004.
  • Recipient of 20 Research Grants as (Co-)Principal Investigator totaling $5.5 million.
  • Associate Editor for five journals: Operations Research, INFORMS Journal on Computing, Mathematical Programming, Computational Optimization and Applications, Open Journal on Mathematical Optimization.
  • Advisory Board Member for academic journal OMEGA. January 2025.
  • Recipient of the 2025 Best Paper Award from the INFORMS Transportation Science and Logistics (TSL) Society for the paper “Drone-Delivery Network for Opioid Overdose: Nonlinear Integer Queueing-Optimization Models and Methods”. Operations Research 73 (1), 86–108, 2025. Co-authored with MS student Wenbo Ma.
  • Washington Academy of Science Fellow, May 2024.
  • Excellence Research Award in Applied Mathematics. Washington Academy of Science, 2024.
    Citation: “For scientific contributions to understand the mathematical structure of optimization problems, design computationally efficient model formulations and scalable algorithms, and provide scientific solutions to societal and industry problems.”
  • Dean’s Best Senior Faculty Research Award. George Washington School of Business, May 2024.
  • INFORMS Senior Member. INFORMS, March 2024.
  • “Formidable Force” Teaching Award from the full-time MBA student cohort, George Washington University, February 2024.
  • Appointed as Managing Special Guest Editor for Mathematical Programming, special issue on “Stochastic Programming and Distributionally Robust Optimization with Decision-Dependent Uncertainty”, 2023.
  • Recipient of the 2022 Best Paper Award from the Journal of Global Optimization for paper “Data-Driven Distributionally Robust Chance-Constrained Optimization with Wasserstein Metric. Journal of Global Optimization 79, 779-811, 2021. Co-authored with PhD student Ran Ji.
  • General Chair of the 2022 INFORMS Conference on Security, Alexandria, VA, August 2022.
  • Ave Tucker Research Fellow (2014-2025): Research Scholarship for tenured GWSB faculty members.
  • Dean’s Best Senior Faculty Research Award. George Washington School of Business, May 2020.
  • Recipient of the 2019 Koopman Award of the INFORMS Military and Security Application Society for the paper “Aeromedical Battlefield Evacuation Under Endogenous Uncertainty in Casualty Delivery Times". Management Science 64 (12), 5481-5496, 2018. Co-authored with Professor F. Margot.
  • Advisory Board Member of IBM Analytics Talent Exchange Program (2013-2016).
  • IBM Smarter Planet Faculty Innovation Award (2011).
  • CAREER (Young Investigator) Award, Army Research Office, Department of Defense, Decision Sciences Directorate (2009).
  • “Golden Tie” Teaching Award from MBA student cohort, Carnegie Mellon University (2007).
  • Invited to INFORMS Young Researcher Roundtable (2006).
  • Research Excellence Award, Center for Information Management Integration and Connectivity (CIMIC), Rutgers University (2004).
  • Excellence Fellowship, Newark Graduate Center, Rutgers University (2000-2003).
  • Royal Belgian Academia Award for Undergraduate Thesis entitled “Heuristic Optimization of Experimental Designs for Linear Models” (1999).
  1. National Science Foundation: Collaborative Research: A Risk-based Real-Options Approach for Infrastructure Systems Protection Investment (2025-2028).
  2. University Facilitating Fund: Disaster Management Decision Support for Search and Rescue Operations with Drones (2025-2026).
  3. National Science Foundation: AMPS: Risk-Averse Optimization for Stressed Power Grids: Models, Theory, and Algorithms (2024-2027).
  4. National Science Foundation: Collaborative Research: NNA Research: Foundations for Improving Resilience in the Energy Sector against Wildfires on ALaskan Lands (FIREWALL) (2022-2026).
  5. Office of Naval Research Grant: Electric Vehicle Fleet Management for Resilience in Energy Networks: Stochastic Programming Advancements under Endogenous Uncertainty (2022-2025).
  6. National Science Foundation Grant: Mobility-As-A-Service for Resilience Delivery in Power Grids: Stochastic Programming Advancements under Decision-Dependent Uncertainties (2021-2024).
  7. National Science Foundation Grant: Foundations for Improving Resilience in the Energy Sector against Wildfire on Alaskan Lands (2020-2023).
  8. Office of Naval Research Grant: MINLP Methods for Chance-Constrained Problems with Endogenous and Exogenous Uncertainty (2017-2022).
  9. HSAP/URAP Grant from Army Research Office: Stochastic Optimization and Risk in Supply Chain Management (2012 - 2013).
  10. CAREER (Young Investigator) Grant Army Research Office: A Methodology for Programming under Probabilistic Constraints (2009 - 2012).
  11. IBM Smarter Planet Faculty Innovation Award: Risk Analytics in Supply Chain Management (2011).
  12. Duke Energy Innovation Fund: Community-in-the-Loop Decision Support for Resilience Against Wildfire (2020-2021).
  13. Duke Energy Innovation Fund: Weathering the Storms: Maximum Wind Utilization and Harnessing the Power Grids’ Built-In Flexibility (2019-2020).
  14. GW Cross-Disciplinary Research Fund: Resilience to Environmental Stressors in Rural Localities: Stochastic Emergency-Response Network of Mobile Wind Turbines (2023-2024).
  15. University Facilitating Fund: Queuing Optimization Framework for Cloud Computing in Data Centers: New Performance Metrics, Models, and Algorithms (2022-2023).
  16. GW Cross-Disciplinary Research Fund: Power Grid Resilience against Heatwaves: Algorithms and Solutions (2022-2023).
  17. GW Cross-Disciplinary Research Fund: Equitable Pricing for Electricity under Endogenous Uncertainty (2021-2022).
  18. University Facilitating Fund: Drone-Aided Healthcare – Data-Driven Predictive and Prescriptive Analytics (2020-2021).
  19. GW Cross-Disciplinary Research Fund: Effective Management of Endogenous Uncertainties in Large-Scale Power Grids (2019-2021).
  20. University Facilitating Fund: Data-Driven Optimization Models for Resiliency in Public Infrastructure (2019-2020).

Methodology

  • Stochastic Programming
  • Distributionally Robust Optimization
  • Mixed-integer Nonlinear Programming
  • Optimization under Decision-Dependent Uncertainty
  • Queuing
  • Data-Driven Optimization and Prescriptive Analytics

Application Areas

  • Healthcare
  • Energy and Power Systems
  • Financial Risk
  • Disaster Management
  • Supply Chain Management
  • Military Operations
  • Computational Optimization
  • Stochastic Programming
  • Supply Chain Risk & Analytics
  • Decision-Making and Data Analysis
  • Judgment, Uncertainty, and Decisions
  • Operations Management