Juan S. Borrero, PhD

I am an Associate Professor in the Department of Industrial and Management Systems Engineering at the University of South Florida. You can find my CV here.

My research interests lie in operations research and its applications; particularly in decision-making problems under uncertainty. Currently, my research is focused on sequential and hierarchical decision-making problems with incomplete information and learning, on cascade optimization problems in networks, defender-attacker problems, and interdiction problems in networks. Methodologically, my interests are mainly in bilevel, online, robust, and fractional 0-1 optimization, as well as stochastic processes and Markov decision processes.

I am looking for Ph.D. students in optimization. Please send me an email with your CV if interested.

Published Papers

1. L. Lozano, J.S. Borrero. "A Bilevel Optimization Approach for a Class of Combinatorial Problems with Disruptions and Probing." Forthcoming at INFORMS Journal on Computing (2024). [Link].

2. H. Pan, Y. Lu, B. Balasundaram, J.S. Borrero. “Finding Conserved Low-Diameter Subgraphs in Social and Biological Networks.” Forthcoming at Networks (2024). [Link].

3. P. Ahadi, B. Balasundaram, J.S. Borrero, C. Chen. "Development and optimization of expected cross value for mate selection problems." Forthcoming at Heredity (2024). [Link].

4. N. Daemi, J. S. Borrero, B. Balasundaram, "First passage time interdiction in Markov chains." Forthcoming at Operations Research Letters (2024). [Link].

5. M. Akhgar, J.S. Borrero, "The Influence Coverage Optimization Problem." Forthcoming at IISE Transactions (2023). [Link].

6. M. Ansari, J. S. Borrero, L. Lozano, "Robust Minimum-Cost Flow Problems Under Multiple Ripple Effect Disruptions." INFORMS Journal on Computing, Vol. 35(1): 83-103 (2023). [Link].

7. N. Daemi, J. S. Borrero, B. Balasundaram, "Interdicting Low-Diameter Cohesive Subgroups in Large-Scale Social Networks," INFORMS Journal on Optimization, Vol. 4(3): 304-325 (2022).  [Link].

8. J. S. Borrero, O. A. Prokopyev, D. Saure, "Learning in Sequential Bilevel Linear Programming,'' INFORMS Journal on Optimization, Vol. 4(2): 174-199 (2022).  [Link].

9. B. Balasundaram, J. S. Borrero, H. Pan,  "Graph Signatures: Identification and Optimization,'' European Journal of Operational Research, Vol. 296(3): 764-775 (2022). [Link].

10. J. S. Borrero, M. Akhgar, P. Krokhmal, "A Scalable Markov Chain Framework for Influence Maximization in Arbitrary Networks," IEEE Transactions on Network Science and Engineering, Vol. 8(3): 2372-2387 (2021). [Link].

11. J. Yang, J. S. Borrero, O. A. Prokopyev, D. Saure, "Sequential Shortest Path Interdiction with Incomplete Information and Limited Feedback," Decision Analysis, Vol. 18(3): 218-244 (2021). [Link].

12. J.S. Borrero, L. Lozano, "Modeling Defender-Attacker Problems as Robust Linear Programs with Mixed-integer Uncertainty Sets," INFORMS Journal on Computing, Vol. 33(4): 1570-1589 (2021).  [Link].

13. J. S. Borrero, O. A. Prokopyev, P. Krokhmal, "Optimization of Cascading Processes in Arbitrary Networks with Stochastic Interactions," IEEE Transactions on Network Science and Engineering, Vol. 6(4): 773-787 (2019). [Link].

14. J. S. Borrero, O. A. Prokopyev, D. Saure, "Sequential Interdiction with Incomplete Information and Learning," Operations Research, Vol. 67(1 ): 72-89 (2019). [Link].

15. M. H. Zare, J. S. Borrero, B. Zeng, O. A. Prokopyev, "A Note on Linearized Reformulations for a Class of Bilevel Linear Integer Problems," Annals of Operations Research, Vol. 272(1-2): 99–117 (2019). [Link].

16. J. S. Borrero, C. Gillen, O. A. Prokopyev, "Fractional 0-1 Programming: Applications and Algorithms," Journal of Global Optimization, Vol. 69(1): 255-282 (2017). [Link].

17. J. S. Borrero, C. Gillen, O. A. Prokopyev, "A Simple Technique to Improve Linearized Reformulations of Fractional (Hyperbolic) 0-1 Programming Problems," Operations Research Letters, Vol. 44(4): 479-486 (2016). [Link].

18. J. S. Borrero, O. A. Prokopyev, D. Saure, "Sequential Shortest Path Interdiction with Incomplete Information," Decision Analysis, Vol. 13(1): 68-98 (2016). [Link].

19. J. S. Borrero, R. Akhavan-Tabatabaei, "Time and Inventory Dependent Optimal Maintenance Policies for Single Machine Workstations: An MDP Approach," European Journal of Operational Research, Vol. 228(3): 545-555 (2013). [Link] 

Book chapters/proceedings

20. J.S. Borrero, "Optimization with Learning in Sequential Bilevel Interdiction Problems." Forthcoming at Encyclopaedia of Optimization. [Link].

21. H. Pan, B. Balasundaram, J.S. Borrero. "A Decomposition Branch-and-Cut Algorithm for the Maximum Cross-Graph k-Club Problem," Proceedings of The International Network Optimization Conference (INOC) 2022, Aachen, Germany. [Link].

22. J. S. Borrero, R. Akhavan-Tabatabaei, "A Markov Decision Process Model for Optimal Policy Making in the Maintenance of a Single-Machine Single-Product Toolset," Proceedings of the Winter Simulation Conference 2010, pp. 2594-2605. [Link].

Papers under review/revision

1. J. S. Borrero, D. Saure, "Maximum Likelihood Probability Measures over Sets and Applications to Data-Driven Optimization." [Link]. 

2. M. Ansari, J.S. Borrero, A. Gonzalez. "A Two-stage Robust Optimization Approach to Enhance Community Resilience Under Tornado Hazards." [Link].

3. J.S. Borrero, D. Saure, N. Trigo. "Optimal Sequential Stochastic Shortest Path Interdiction."

4. L. Lozano, J.S. Borrero. "On Solving Integer Robust Optimization Problems with Integer Decision-Dependent Uncertainty Sets."

Courses taught

University of South Florida

1. ESI 6491 Linear Programming and Network Optimization (Fall 2024)

2. ESI 4312 Fundamentals of Optimization (Fall 2024)

Oklahoma State University

1. IEM 6990 Convex Optimization (Spring 2024)

2. IEM 5133 Stochastic Processes (Spring 2019, Spring 2021, Spring 2024)

3. IEM 3703 Probability and Statistics for Engineers II (Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023)

4. IEM 5703 Discrete Event Simulation (Spring 2020, Spring 2023)

5. IEM 4113 Industrial Experimentation (Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022)

6. IEM 6990 Optimization under Uncertainty (Spring 2022)

7. IEM 4713 Introduction to Systems Simulation Modeling (Spring 2018).

8. IEM 5613 Integrated Manufacturing Control Systems (Fall 2017).