Panos P. Markopoulos, Ph.D.


Dr. Panos P. Markopoulos obtained the Ph.D. degree in Electrical Engineering from the University at Buffalo, The State University of New York, in 2015. Since August 2021, he has been an Associate Professor at the Department of Electrical and Microelectronic Engineering (EME) at Rochester Institute of Technology. He has founded and directs the Machine Learning Optimization and Signal Processing (MILOS) Lab. He is also a core faculty of the RIT Center for Human-Aware Artificial Intelligence (CHAI), a faculty of the Ph.D. Program in Electrical and Computer Engineering, and an extended faculty of RIT's Ph.D. Programs in Computing and Information Sciences and Mathematical Modeling. In the Summers of 2018, 2020, and 2021, Dr. Markopoulos was a Visiting Research Faculty at the U.S. Air Force Research Laboratory (AFRL), Information Directorate. Since joining RIT in 2015, Dr. Markopoulos has secured external research funding of near $1.5M. His research sponsors include the US National Science Foundation (NSF), the US National Geo-Spatial Intelligence Agency, the US Air Force Office of Scientific Research (AFOSR), and the Air Force Research Laboratory (AFRL). In October 2019, he received the Young Investigator Program (YIP) Award, from the AFOSR. Dr. Markopoulos has received multiple awards from the RIT Kate Gleason College of Engineering for exemplary performance in research and teaching.

Currently, Dr. Markopoulos is serving as Chair of the Branding Committee and Member of the Undergraduate Curriculum Committee of the EME Department. He is also serving as a Member of the PhD Qualification committees of the ENG and ECE PhD programs and as a Member of the KGCOE Honors Program Committee. Since 2021, he is an Academic Senator, representing the Kate Gleason College of Engineering.

Professional Positions


Research Areas

Together with my students and collaborators, I conduct research on theory and algorithms for optimization for machine learning and data analysis. Topics of interest include:

  • Theory/algorithms for Lp-norm subspace data analysis.

  • Inference and learning in adversarial environments.

  • Tensor decompositions and analysis of big and multi-modal data.

  • Mathematical understanding and enhancement of deep neural networks.


Selected Awards and Distinctions

  • Young Investigator Program (YIP) Award, Air Force Office of Scientific Research (AFOSR), 2020.

  • Exemplary Performance in Research, Kate Gleason College of Engineering, RIT, 2019, for the research proposals submitted in 2018.

  • Exemplary Performance in Teaching, Kate Gleason College of Engineering (KGCOE), RIT, 2019.

  • Exemplary Performance in Research, Kate Gleason College of Engineering, RIT, 2018, for the research proposals submitted in 2017.

  • Runner-up Poster Award, IEEE Western New York Image and Signal Processing Workshop, 2018, for the paper "Gait recognition based on tensor analysis of acceleration data from wearable sensors."

  • Student Travel Grant Award, SPIE Defense and Commercial Sensing, 2017, for the paper "Adaptive sparse-binary waveform design for all-spectrum channelization."

  • Exemplary Reviewer, IEEE Communications Society, 2017. "For contributions made in furthering the objectives of the Society as Exemplary Reviewer of IEEE Wireless Communications Letters, 2016."

  • Student Travel Grant Award, SPIE Defense, Security, and Sensing, 2014, for the paper "Direction finding with L1-norm subspaces."

  • Best Paper Award in Physical Layer Communications and Signal Processing, IEEE/VTS/EURASIP International Symposium on Wireless Communication Systems, 2013, for the paper "Some options for L1-subspace signal processing."

Professional Memberships

  • IEEE Signal Processing, Computer, and Communication Societies.

  • SIAM.

  • SPIE.

  • American Society for Engineering Education (ASEE).