Alfredo Garcia

Dr. Alfredo Garcia is a Professor of Industrial & Systems Engineering at Texas A&M University, holding the Mike and Sugar Barnes Professorship III. His expertise lies in game theory, dynamic optimization, and their applications in electricity and communication networks. He has published extensively in top journals like IEEE Transactions and Operations Research.

Education: Ph.D. (1997) in Industrial & Operations Engineering from the University of Michigan; DEA (1992) in Industrial Automation & Computer Science from Université de Toulouse III.

Research focuses on distributed optimization algorithms, incentive-compatible market mechanisms, and AI-driven models for autonomous systems. Recent work explores active inference frameworks for driver behavior modeling and federated learning in networked systems. His research bridges theoretical advancements with real-world applications in energy markets, transportation systems, and materials science.

Key achievements include developing iterative mechanisms for electricity market coupling and contributions to decentralized optimization on manifolds. Collaborations span academia and industry, addressing challenges in smart grids and autonomous vehicle safety.