Dr. Nicholas R. Munson earned his B.S., M.S., and Ph.D. degrees from The Pennsylvania State University, all in electrical engineering, in 2019, 2023, and 2025, respectively. His current research interests include signal processing and practical implementations of advanced RF technologies, with an emphasis on embedded systems and experimental RF testing.

Bill Correll, Jr. received a Bachelor of Science degree in math from Denison University, Granville, OH, USA, in 1995, a master’s degree from the University of Michigan, Ann Arbor, MI, USA, in 1997, and a Ph.D. degree in math (algebraic combinatorics) under the direction of Phil Hanlon in 2002. He started his career in radar back in 2001 and has supported a wide variety of SAR, MIMO Radar, GMTI, and RFID programs. His research interests include radar signal processing and combinatorics. Dr. Correll is an Active Member of the IEEE Aerospace and Electronic Systems Society. He was the Vice Chair of meetings of Section 1 of the Southeast Michigan Chapter of the IEEE from 2010 to 2015 and served on the organizing committees of the 2014, 2017, 2018, 2022, and 2025 IEEE Radar Conferences. Bill has served on the IEEE AESS Radar Systems Panel for the last 6 years and helped lead the creation of the 686-2024 radar definitions standard.

Prof. Ram M. Narayanan is a Professor of Electrical Engineering in the Department of Electrical Engineering at the Pennsylvania State University, University Park, PA, USA. Before joining the Pennsylvania State University, he was a Blackman & Lederer Chaired Professor of Electrical Engineering at the University of Nebraska (1988–2000), and a Design and Development Engineer at Bharat Electronics Limited, India (1976–1983). Prof. Narayanan holds a B.Tech. in Electrical Engineering from the Indian Institute of Technology and a Ph.D. in Electrical and Computer Engineering from the University of Massachusetts. His research interests include high-resolution radar system conception and development, scattering phenomenology from volume and surface targets, information content characterization in remotely sensed imagery, and Ground Penetrating Radar (GPR) applications for infrastructure assessment and covert communications systems and concepts.

Travis D. Bufler received the B.S. and M.S. degrees in computer engineering and computational science from Miami University, Oxford, OH, USA, in 2010 and 2012, respectively, and the Ph.D. degree from Pennsylvania State University, State College, PA, USA, in 2016. He is currently a Research and Development Engineer with The Penn State Applied Research Laboratory, State College. His current interests include electromagnetics, machine learning, optimization, radar signal processing, and computational modeling.