Research

My research primarily focuses on developing exact solution approaches for solving combinatorial optimization problems arising from various domains. I consider myself a problem-driven researcher interested in studying problems from both theoretical and practical perspectives. From the theoretical perspective, I am particularly interested in:

  • Integer Programming
  • Interdiction Problems
  • Network Optimization
  • Multilevel Optimization
  • Transportation and Logistics
  • Data Association
  • Disaster Management
  • Defense and Homeland Security

Funded Projects

  • J. L. Walteros (PI). Designing Defensive Strategies to Protect Ground-Space Communication Networks in Contested Environments. Air Force Office of Scientific Research. $358,762, 9/2023--08/2026.
  • Mukherjee (PI), J. L. Walteros (CoPI), S. Clark (CoPI), J. Yeo (CoPI). SAI: Integrating equity in emergency management: A human-centered decision framework to improve polycentric governance of critical infrastructure in wildland-urban interfaces. National Science Foundation S. $750,000, 9/2023--08/2025.
  • M. Sudit (PI), J. L. Walteros (CoPI), R. Batta (CoPI), and K. McConky (CoPI). Managing Exponential Decision Spaces (MEDS). Office of Naval Research. $1,150,000, 4/2020--3/2023.
  • J. Llinas (PI), J. L. Walteros (CoPI), and B. Smith (CoPI). Data Science Approaches to Automation of Analytic Work Flows. Office of Naval Research $149,732, 6/2018--5/2019.
  • J. L. Walteros (PI). Communication Optimization of Networks of Cross-Domain Unmanned Systems (CONEXUS). Office of Naval Research (via CUBRC, inc.). $62,112, 1/18--12/2018.
  • J. L. Walteros (PI). Improving the Service Quality of Bike Sharing Systems via the Analysis of Real-Time User Data. Transportation Informatics (TransInfo), Tier I University Transportation Center. $50,000, 9/2017--8/2018.
  • A. Nikolaev (PI), J. L. Walteros (CoPI). Operational Decision-Making for Reach Maximization of Incentive Programs that Influence Consumer Energy-Saving Behavior National Science Foundation. $199,938. An additional REU of $18,000 also awarded. 9/2016--8/2018.

Published Articles

  1. P. Ganguly, S. Mukherjee, J. L. Walteros, L. Herrera, An Integrated Framework to Improve the Resiliency of Electricity Distribution Systems Exposed to Wildfires. European Journal of Operational Research. 326(3):707-725 (2025). https://doi.org/10.1016/j.ejor.2025.04.035.
  2. N. Wei, J. L. Walteros, On Supervalid Inequalities for Binary Interdiction Games. Mathematical Programming. 212:437-478. (2025) https://doi.org/10.1007/s10107-024-02111-1.
  3. R. Bhandawat, S. Casucci, J. L. Walteros, A Two-Stage Stochastic Framework for Blood Product Inventory Management with ABO Substitution and Lateral Transshipment. IISE Transactions on Healthcare Systems Engineering. 14(4):362-383 (2023). https://doi.org/10.1080/24725579.2024.2396848.
  4. F. Mousapour, R. Batta, J. L. Walteros, On the development and analysis of a comprehensive police patrolling model. EURO Journal on Transportation and Logistics. 14:100153 (2025). https://doi.org/10.1016/j.ejtl.2025.100153.
  5. C. Gao, N. Wei, J. L. Walteros, An Exact Approach for Solving Pickup-and-Delivery Traveling Salesman Problems with Neighborhoods. Transportation Science. 57(6):1403-1719. https://doi.org/10.1287/trsc.2022.0138.
  6. D. V. Papazaharias, J. L. Walteros, Solving Graph Partitioning on Sparse Graphs: Projections and Extended Formulations. Mathematical Programming Computation. 15:103-151 (2023). https://doi.org/10.1007/s12532-022-00228-y.
  7. R. Bhandawat, S. Casucci, B. Ramamurthy, J. L. Walteros, Cooperative Blood Inventory Ledger (CoBIL): A decentralised decision making framework for improving blood product management. Computer & Industrial Engineering (2022). https://doi.org/10.1016/j.cie.2022.108571.
  8. N. Wei, J. L. Walteros, Integer Programming Methods for Solving Binary Interdiction Games. European Journal of Operational Research. 302(2):456-469 (2022). https://doi.org/10.1016/j.ejor.2022.01.009.
  9. J. E. Fontecha, A. Nikolaev, J. L. Walteros, Z. Zhu, Scientists Wanted? A Literature Review on Incentive Programs that Promote Pro-Environmental Consumer Behavior: Energy, Waste, and Water. Socio-Economic Planning Sciences (2022). https://doi.org/10.1016/j.seps.2022.101251.
  10. M. J. Naderi, A. Buchanan, J. L. Walteros, Worst-Case Analysis of Clique MIPs. Mathematical Programming. 195:517-551 (2022). https://doi.org/10.1007/s10107-021-01706-2.
  11. J. E. Fontecha, J. L. Walteros, A. Nikolaev, Reach Maximization for Social Lotteries. Omega (2021). https://doi.org/10.1016/j.omega.2021.102496.
  12. J. E. Fontecha, P. Agarwal, J. L. Walteros, S. Mukherjee, M. N. Torres Cajiao, J. P. Rodríguez, A Two-Stage Data-Driven Spatiotemporal Analysis to Predict Failure Risk of Urban Sewer Systems Leveraging Machine Learning Algorithms. Risk Analysis. 41(12):2356-2391 (2021). https://doi.org/10.1111/risa.13742.
  13. M. N. Torres Cajiao, J. E. Fontecha, J. L. Walteros, Z. Zhu, Z. Ahmed, J. P. Rodriguez, A. J. Rabideau, City-Scale Optimal Location Planning of Green Infrastructure Using Piece-Wise Linear Interpolation and Exact Optimization Methods. Journal of Hydrology (2021). https://doi.org/10.1016/j.jhydrol.2021.126540.
  14. N. Wei, J. L. Walteros, M. Worden, H. Ortíz-Peña, A Resiliency Analysis of Information Distribution Policies over Mobile Ad Hoc Networks. Optimization Letters. 15(4):1081-1103 (2021). https://doi.org/10.1007/s11590-021-01717-0
  15. N. Wei, J. L. Walteros, F. Mahdavi Pajou, Integer Programming Formulations For Minimum Spanning Tree Interdiction. INFORMS Journal on Computing. 33(4):1461-1480 (2021). https://doi.org/10.1287/ijoc.2020.1018.
  16. J. L. Walteros▷, A. Buchanan, Why is Maximum Clique Often Easy in Practice? Operations Research. 68(6):1866-1895 (2020). https://doi.org/10.1287/opre.2019.1970. Honorable Mention, 2019 JFIG Paper Competition.
  17. N. Wei, J. L. Walteros, R. Batta, On the Distance Between Random Events in a Network. Networks. 75(2):203-231 (2020). https://doi.org/10.1002/net.21919.
  18. M. N. Torres Cajiao, J. E. Fontecha, J. L. Walteros, Z. Zhu, J. P. Rodriguez, A Participatory Approach Based on Stochastic Optimization for the Spatial Allocation of Sustainable Urban Drainage Systems for Rainwater Harvesting. Environmental Modeling and Software (2020). https://doi.org/10.1016/j.envsoft.2019.104532.
  19. Y. C. Hsu, J. L. Walteros, R. Batta. Petroleum Replenishment and Routing Problem with Variable Demands and Time Windows. Annals Operations Research. 294:9-46 (2020). https://doi.org/10.1007/s10479-018-3042-5.
  20. J. L. Walteros A. Veremyev, P. M. Pardalos, Detecting Critical Node Structures on Graphs: A Mathematical Programming Approach. Networks. 73(1):48-88 (2019). https://doi.org/10.1002/net.21834. Top Downloaded Paper 2018-2019 and Top Cited Paper 2019-2020.
  21. C. Vogiatzis, J. L. Walteros, Integer Programming Models for Generating Graph Bipartitions with Structural Requirements. Networks. 71(4):432-450 (2018). https://doi.org/10.1002/net.21786.
  22. F. Mahdavi Pajouh, J. L. Walteros, V. Boginski, E. L. Pasiliao, Minimum Edge Blocker Dominating Set Problem. European Journal of Operational Research. 247(1):16-26 (2015). https://doi.org/10.1016/j.ejor.2015.05.037.
  23. J. L. Walteros, A. L. Medaglia, G. Riaño, A Hybrid Algorithm for Route Design on Bus Rapid Transit Systems. Transportation Science. 49(1):66-84 (2015). https://doi.org/10.1287/trsc.2013.0478
  24. J. L. Walteros, C. Vogiatzis, E. L. Pasiliao, P. M. Pardalos, Integer Programming Models for the Multidimensional Assignment Problem with Star Costs. European Journal of Operational Research. 235(3):553-568 (2014). https://doi.org/10.1016/j.ejor.2013.10.048.
  25. A. Buchanan, J. L. Walteros, S. Butenko, P. M. Pardalos, Solving Maximum Clique in Sparse Graphs: an O(nm+n2d/4) Algorithm for d-Degenerate Graphs. Optimization Letters. 8(5):1611-1617 (2014). https://doi.org/10.1007/s11590-013-0698-2.
  26. D. Feillet, M. Gendreau, A. L. Medaglia, J. L. Walteros, A Note on Branch-and-Cut-and-Price. Operations Research Letters. 38(5):346-353 (2010). https://doi.org/10.1016/j.orl.2010.06.002.

Articles Under Review

  1. S. Ezazipour, P. Belotti, A. Buchanan, J. L. Walteros. Finding Pareto-optimal districting plans. Major revision at Manufacturing & Service Operations Management in November 2025.
  2. R. Raj$^\dagger$, D. Lee, S. Lee, \textbf{J. L. Walteros}, C. Murray, A Branch-and-Price Approach for the Parallel Drone Scheduling Vehicle Routing Problem.

Edited Books

  1. C. Vogiatzis, J. L. Walteros, P. M. Pardalos (Eds.), Dynamics of Information Systems: Computational and Mathematical Challenges. Proceedings in Mathematics & Statistics, volume 105. Springer, 2014.
  2. P. M. Pardalos, M. G. C. Resende, C. Vogiatzis, J. L. Walteros (Eds.), Learning and Intelligent Optimization. Lecture Notes in Computer Science, volume 8426. Springer, 2014.

Other

  1. J. L. Walteros, Graph Partitioning. In P. M. Pardalos and O. A. Prokopyev (Eds.), Encyclopedia of Optimization, Springer (2023). https://doi.org/10.1007/978-3-030-54621-2_757-1.
  2. J. Dorismond, J. L. Walteros, R. Batta, A Simulation Based Tool to Guide Changes in a Supermarket Layout. In A. Ghoniem and B. Maddah (Eds.), Retail Space Analytics International Series in Operations Research & Management Science, vol 339, Springer (2022). https://doi.org/10.1007/978-3-031-27058-1_4.
  3. C. Vogiatzis, J. L. Walteros, P. M. Pardalos, Evacuation Through Clustering Techniques. In Goldengorin, B., Kalyagin, V. A., and Pardalos, P. M. (Eds.), Models, Algorithms, and Technologies for Network Analysis. Springer (2013) https://doi.org/10.1007/978-1-4614-5574-5_10.
  4. J. L. Walteros, P. M. Pardalos, Selected Topics in Critical Element Detection. In N. J. Daras (Ed.), Applications of Mathematics and Informatics in Military Science, vol 71, Springer (2012). https://doi.org/10.1007/978-1-4614-4109-0_2.
  5. J. L. Walteros, P. M. Pardalos, A Decomposition Approach for Solving Critical Clique Detection Problems. In Klasing, R. (Ed.), Experimental Algorithms, vol 7276, Springer (2012). https://doi.org/10.1007/978-3-642-30850-5_34