Bio
Joel Brogan a highly-cited R&D Research Professional at ORNL. He is the Acting Group Lead for Multimodal Sensor Analytics (MSA), who's research focuses on computer vision, biometrics, and adversarial AI research. He is a founding member of the Center for AI Security Research (CAISER), and leads projects pertaining to National Security that help ensure the safe deployment and use of AI technologies across the public sector.
Joel received his B.S in Electrical Engineering from Hope College, Holland Michigan in 2014. In 2018, he completed his M.S. in Computer Science and Engineering at the University of Notre Dame, and in 2019 he completed his Ph.D. in Computer Science at the University of Notre Dame, with a dissertation entitled "Advancing Biometrics and Image Forensics Through Vision and Learning Systems".
Professional Experience
Acting Group Lead, Multimodal Sensor Analytics
T&E Team Lead, IARPA BRIAR
T&E Co-PI, IARPA VideoLINCS
Awards
2023 R&D100 Nomination the BRIAR API
2024 FedID Finalist for Best Operational Success
2024 FedScoop50 Finalist for "Most Inspiring Up & Comer"
Education
B.S. Electrical Engineering | 2014 | Hope College, Holland Michigan
M.S. Computer Science Engineering | 2018 | University of Notre Dame, Notre Dame Indiana
Ph.D. Computer Science Engineering | 2019 | University of Notre Dame, Notre Dame Indiana
Professional Affiliations
International Association for Pattern Recognition Member
Technical Community on Pattern Analysis and Machine Intelligence Member
Armed Forces Communications & Electronics Association (AFCEA) Member
Institute of Nuclear Materials Management (INMM) Member