Thanos Panagopoulos (nee Aris Athanasios Panagopoulos) is an Associate Professor of Computer Science and Head of the Artificial Intelligence and Intelligent Systems (AIIS) Laboratory at California State University, Fresno, USA. 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)​

• Artificial Intelligence and Society (Explainable AI, Socioeconomic and Environmental Implications)

​Thanos has worked with several institutions, agencies, and firms in several 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 several awards and honors. Thanos has been a member of the program committee in several flagship AI conferences, including AAAI, IJCAI and ECAI, and an editor in several journals. He is a member of ACM and CAHSI.

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Before joining California State University, Fresno, Thanos spent two years leading intelligent systems research as a post-doctoral scholar 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. ​