The role of game theory in control and learning: Multi-agent systems applications
Speaker
Julian Barreiro-Gomez
Assistant Professor at Khalifa University, Abu Dhabi, UAE
Title
"The role of game theory in control and learning: Multi-agent systems applications "
Abstract
Multi-agent systems provide a powerful framework for modeling, analysis, and control of interconnected systems, where individual agents pursue local objectives while contributing to global performance. In this talk, we will explore how tools from game theory, optimal control, and learning can be combined to design and understand complex multi-agent behaviors. I will also discuss how machine learning can enhance these methodologies, and conversely, how game theory offers a plausible way to analyze and design learning mechanisms in multi-agent systems contexts. Illustrative engineering applications include evacuation scenarios — such as in the Burj Khalifa, collective phenomena like the Tawaf motion or other procession behaviors, among others.
About Speaker
Julian Barreiro-Gomez is an Assistant Professor in the Department of Computer and Information Engineering (CIE), College of Computing and Mathematical Sciences at Khalifa University, Abu Dhabi, UAE. He is the Internship Coordinator in his Department (CIE), and actively serves in the Undergraduate Curriculum Committee, the Faculty Recruitment Committee, Research & Outreach Committee, Program Improvement Committee, and the College Seminar Committee.
Julian Barreiro-Gomez received the Best Ph.D. Thesis in Europe in the Field of Control for Complex and Heterogeneous Systems 2017 awarded by the European Embedded Control Institute (EECI), and the Best Ph.D. Thesis in Control Engineering 2017 award from the Spanish National Committee of Automatic Control (CEA) and Springer. Jointly with his Ph.D. thesis advisors, he received the ISA Transactions (top 3% journal Scopus) Best Paper Award 2018 in Recognition to the best paper published in the previous year. Since 2018, he is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).
He is author of the book "The Role of Population Games in the Design of Optimization-Based Controllers: A Large-scale Insight" published by Springer Cham in 2019, and co-author of the book "Mean-Field-Type Games for Engineers" published by CRC Press in 2021. His main research interests are: optimal control, dynamic games, machine learning, and engineering applications with emphasis on multi-agent systems.
Julian lives in Abu Dhabi with his wife and son, and he enjoys spending time with his family, having a picnic during the nice weather, and expressing gratitude to Almighty God for the miracle of health and life.