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Biography
Personal Pronouns
He/Him
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Juan Estrada is a Ph.D. student in Industrial and Operations Engineering. His research focuses on developing models and methodologies for solving large-scale nonconvex optimization problems in complex networks. Methods include stochastic optimization, distributionally robust optimization, parallel computing and reinforcement learning. Applications include risk management for monitoring critical infrastructure systems, as well as logistic network design under uncertainty.
Advisor: Siqian Shen
Research Interests
Methodologies
- Stochastic optimization
- Distributionally robust optimization
- Reinforcement learning
Applications
- Risk management for monitoring critical infrastructure systems
- Logistics
Education
- December 2021 – University of Monterrey: BS Engineering Management
Awards
- 2022 – Best Track Modeling & Simulation Paper in the 2022 IISE Annual Conference & Expo
Publications
Conference Proceedings
- Juan-Alberto Estrada-García, Siqian Shen, Wen Ye, “Interactive dashboards to link COVID-19 pandemic and human mobility trends”, in the Proceedings of the 2022 Institute of Industrial and Systems Engineering (IISE) Annual Conference and Expo, Seattle, WA, May 2022
- Juan-Alberto Estrada-García, Siqian Shen, Wen Ye, “A simulation framework to evaluate efficiency and safety of public transportation systems during pandemic”, Institute of Industrial and Systems Engineering (IISE) Annual Conference and Expo, Seattle, WA, May 2022