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Thanos Panagopoulos (nee Aris Athanasios Panagopoulos) is an Assistant Professor of Computer Science at California State University, Fresno, USA.

He has dedicated himself to prototyping new intelligent technology to shape the production and urban landscape of tomorrow and educate future generations. His interests span a wide range of Artificial Intelligence and Computer Science related fields including:​​

  • ​Machine Learning (Reinforcement Learning, Supervised Learning, Approximation Methods)

  • Data Mining (Massive Data Sets, Feature Selection, and Dimensionality Reduction techniques)

  • Control Theory (Decision-making, Intelligent/Optimal/Adaptive Control, System Identification) 

  • Multiagent Systems (Stochastic Games, Multiagent Learning, Algorithmic Game Theory)

  • Optimization (Dynamic/Integer Programming, Multiobjective Optimization)

  • Intelligent Systems ​​(Smart Grid/Home/City/Agriculture, Human-agent Collectives, Internet of Things)​

​Thanos has worked with several institutions, agencies, and firms in a number of multi-million dollar collaborative research endeavors and has strong experience in leading interdisciplinary research and managing diverse teams.​ His research has been published in world-leading journals and conferences. His contributions have been recognized via a number of awards and honors. Thanos has been a member of the program committee in a number of world-leading conferences, including AAAI and IJCAI, and an editor in a number of journals. He is a member of ACM and CAHSI.

Prior to joining California State University, Fresno, Thanos spent two years leading intelligent systems research as a post-doctoral researcher at UC Berkeley, USA. ​Thanos received his Ph.D. in Computer Science from University of Southampton, UK, in 2016.  He also holds a diploma in Electronic and Computer Engineering from Technical University of Crete, Greece. ​

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