Thiago Serra Azevedo Silva

Assistant Professor

Current Positions

Tong, J., Cai, J., & Serra Azevedo Silva, T. Optimization Over Trained Neural Networks: Taking a Relaxing Walk. In Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research 2024.
Raghunathan, A., Bergman, D., Hooker, J., Serra Azevedo Silva, T., & Kobori, S. (2024). Seamless Multimodal Transportation Scheduling. INFORMS Journal on Computing. 36 (2) pp. 336-358.

"When Deep Learning Meets Polyhedral Theory: A Tutorial," Tutorial Speaker at AAAI Conference on Artificial Intelligence, February 2025.
"Optimization Over Trained Neural Networks: Taking a Relaxing Walk," Guest/Invited Speaker at Worcester Polytechnic Institute, November 2024.
"Optimization Over Trained Neural Networks: Taking a Relaxing Walk," Guest/Invited Speaker at University of Illinois Urbana-Champaign, October 2024.
"Optimization Over Trained Neural Networks: Taking a Relaxing Walk," Guest/Invited Speaker at Indiana University, October 2024.
"Optimization Over Trained Neural Networks: Taking a Relaxing Walk," Guest/Invited Speaker at Georgia Institute of Technology, September 2024.
"Optimization Over Trained Neural Networks: Taking a Relaxing Walk," Guest/Invited Speaker at Gurobi Optimization, August 2024.
"Last-Mile Passenger Transportation with Decision Diagrams," Guest/Invited Speaker at Amazon, May 2024.
"Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions," Guest/Invited Speaker at Fidelity Corp, April 2024.

Huchette, J., Munoz, G., Serra Azevedo Silva, T., & Tsay, C. (2024). When Deep Learning Meets Polyhedral Theory: A Survey.

Associate Editor, INFORMS Journal on Data Science, January 2025.
Associate Editor, International Transactions in Operational Research, October 2023.