Panagiotis Markopoulos

Panagiotis (Panos) Markopoulos is the Margie and Bill Klesse Endowed Associate Professor at the University of Texas at San Antonio (UTSA), affiliated with the Departments of Electrical & Computer Engineering and Computer Science. He directs the Machine Learning Optimization Laboratory and co-leads the Trustworthy AI initiative at UTSA's MATRIX AI Consortium. Previously, he held tenured positions at Rochester Institute of Technology (RIT) and served as a Visiting Faculty at the Air Force Research Laboratory (AFRL).

• Education:
  • Ph.D. in Electrical Engineering, SUNY Buffalo (2015)
  • M.S. in Electronic and Computer Engineering, Technical University of Crete (2012)
  • Engineering Diploma in Electronic and Computer Engineering, Technical University of Crete (2010)

His research focuses on trustworthy and reliable artificial intelligence, machine learning from limited/corrupted data, federated learning, continual learning, multimodal data fusion, and quantum machine learning. Recent work explores efficient solutions for dynamic environments, privacy-preserving AI, and healthcare applications.

His publications emphasize L1-norm methods for robust signal processing and machine learning, particularly in tensor analysis, quantum computing, remote sensing, and neural network optimization. He has secured funding from the NSF, NGA, AFOSR, and AFRL.

• Honors:
  • Margie and Bill Klesse Endowed Professorship (2022)
  • AFOSR Young Investigator Program Award (2019)
  • IEEE Senior Member (2021)

He actively contributes to academic leadership through roles such as Chair of the Signal Processing and Learning Concentration at UTSA, Founding Director of two research laboratories, and Core Faculty Member in the UTSA School of Data Science and MATRIX AI Consortium.