Panagiotis Markopoulos
Ph.D. ·
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About
Dr. Panagiotis Markopoulos has more than 15 years of research and teaching experience in electrical and computer engineering and computer science. He is an internationally recognized and awarded expert in machine learning, artificial intelligence, and signal processing, with research focused on the development of reliable learning systems that operate under real-world constraints and in critical applications. His work spans foundational areas including robust learning under data corruption and adversarial contamination, federated and decentralized learning systems, adaptive and continual learning in non-stationary environments, multimodal learning and structured data fusion, and computationally efficient large-scale learning. He has also contributed to emerging areas including quantum and quantum-inspired optimization for machine learning. Dr. Markopoulos applies these methods across multiple domains including computer vision, remote sensing, cybersecurity, computational healthcare, and wireless communication systems.
He has authored more than 80 peer-reviewed publications, including 25 journal articles in leading IEEE and other technical journals, and has presented his research at numerous international conferences. His work has been supported through competitive research funding from major U.S. agencies including the National Science Foundation, the U.S. Air Force Office of Scientific Research (including an AFOSR Young Investigator Program Award), the National Geospatial-Intelligence Agency, and the National Institutes of Health.
Dr. Markopoulos has held tenure-track and tenured faculty positions at the Rochester Institute of Technology and The University of Texas at San Antonio since 2015, and currently serves as Associate Professor and Cloud Technology Endowed Fellow in the Departments of Computer Engineering and Computer Science at UT San Antonio’s College of AI, Cyber, and Computing. He is the founding director of the Machine Learning Optimization and Systems Laboratory and leads major AI research initiatives at UTSA, including the AI Systems thrust in Computer Engineering and the Trustworthy AI thrust within the MATRIX UTSA AI Consortium for Human Well-Being.
Throughout his academic career, Dr. Markopoulos has successfully mentored numerous doctoral and master’s students to completion, with his advisees receiving prestigious distinctions including the Rochester Institute of Technology Best Doctoral Dissertation Award. His former students now hold technical and research positions at leading technology companies including Apple, Amazon, and AMD.
He currently serves as Associate Editor for IEEE Transactions on Artificial Intelligence. His professional service includes membership on the IEEE Signal Processing Society Education Board and leadership roles in organizing international technical conferences and workshops.
Dr. Markopoulos’s theoretical expertise, algorithm development, real-world system applications, and extensive scholarship make him a highly credible expert witness in machine learning, artificial intelligence, and signal processing, as well as their applications in computer vision, remote sensing, cybersecurity, computational healthcare, and wireless communication systems.