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

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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:​​
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• ​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.

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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. ​