Organizers
Dr. Joel Goodman, Office of Naval Research (ONR), Global: Joel Goodman (SM’17) received the B.S. and M.S. degrees in electrical engineering from Boston University and received the Ph.D. degree in systems engineering from the George Washington University in Washington, DC. He was previously employed by Eastman Kodak, worked for venture capital-funded Hammerhead Networks (later acquired by Cisco Systems), and was a technical staff member at MIT Lincoln Laboratory (MIT LL), most recently serving on the Chief Technology Officer’s technical advisory group. He is currently a Science Director with the Office of Naval Research (ONR) Global based at the US Embassy in Singapore. He is a recipient of the Eastman technical achievement award for his work on magnetic imaging, an invited lecturer for an IEEE advanced signal processing symposium on the topic of nonlinear signal processing in 2008, recipient of the 2008 MIT LL team excellence award for his work on nonlinear equalization, recipient of the Naval Research Laboratory Alan Berman Research Publication award and NRL Review award, served as a lecturer at the 2014 Virginia Tech Symposium and Summer School on Wireless Communications, was a member of the organizing committee for IEEE GlobalSIP 2016, was an invited panel member for the fullduplex communications session at the IEEE IMS Conference in 2019, and served as Chair of the IEEE Computational Intelligence Society Chapter in Northern Virginia and Washington, DC from 2019-2023.
Dr. Shuowen Hu, DEVCOM Army Research Laboratory (ARL): Dr. Shuowen (Sean) Hu has over 15 years of R&D experience, conducting research as well as leading and motivating teams of interdisciplinary scientists. He has over 50 publications in scientific conferences and journals and has co-authored several best papers at biometrics and computer vision conferences. He has received the Department of the Army Research & Development Achievement Award, multiple Army Civilian Service Commendation Medals, and SPIE’s Rising Researcher Award. He obtained his B.S. and Ph.D. degrees in Electrical and Computer Engineering from Cornell University in 2005 and Purdue University in 2009, respectively, graduating magna cum laude at both universities. He is currently a lead research electronics engineer/team leader in the Intelligent Perception Branch at the U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory (ARL). He leads research projects and programs from concept to execution in artificial intelligence and machine learning (AI/ML), specifically on standoff biometrics/face recognition, object detection, activity recognition, and synthetic data. He collaborates with organizations across DOD and broader USG, as well as with leading academic institutions and industry, and provides direct S&T and T&E support to mission partners in DOD and SOCOM on AI/ML capabilities. He has also been a principal solutions architect at Amazon, working with multi-disciplinary teams (AI/ML, software, firmware, hardware, and others) to support new biometric technology development and product deployment for Amazon One.
Prof. Vikram Krishnamurthy, Cornell University: Vikram Krishnamurthy (F'05) received his B.E. degree from the University of Auckland in Electrical Engineering in 1988, and Ph.D. degree from the Australian National University in 1992 in mathematical systems theory. He is currently a professor in the School of Electrical & Computer Engineering, Cornell University. From 2002-2016 he was a Professor and Canada Research Chair at the University of British Columbia, Canada. His research interests include statistical signal processing and stochastic control in social networks and adaptive sensing. He served as Distinguished Lecturer for the IEEE Signal Processing Society and Editor-in-Chief of the IEEE Journal on Selected Topics in Signal Processing. In 2013, he was awarded an Honorary Doctorate from KTH (Royal Institute of Technology), Sweden. He is author of the book Partially Observed Markov Decision Processes published by Cambridge University Press in 2016.
Prof. Vishal Patel, Johns Hopkins University: Vishal M. Patel is an Associate Professor in the Department of Electrical and Computer Engineering (ECE) at Johns Hopkins University. His research interests are focused on computer vision, machine learning, image processing, medical image analysis, and biometrics. He has received a number of awards including the 2021 IEEE Signal Processing Society (SPS) Pierre-Simon Laplace Early Career Technical Achievement Award, the 2021 NSF CAREER Award, the 2021 IAPR Young Biometrics Investigator Award (YBIA), the 2016 ONR Young Investigator Award, and the 2016 Jimmy Lin Award for Invention. Patel is an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence journal and chairs the conference subcommittee of IAPR Technical Committee on Biometrics (TC4).
Jay N. Paranjape, Johns Hopkins University (Web-Chair): Jay N. Paranjape is a PhD student in the Department of Electrical and Computer Engineering (ECE) at Johns Hopkins University, guided by Dr. Vishal M. Patel. His research interests include Computer Vision, Machine Learning and AI. He is currently working on adapting foundation models and large vision models for constrained settings like downstream applications in healthcare and remote-sensing.