Dr. Majumder is a R&D Scientist and Radar automation and artificial intelligence (A2I) lead for U.S. Department of Defense (May 2021- Present). He was a senior electronics engineer at Air Force Research Laboratory (AFRL) (August 2003-April 2021). His research interests include AI/ML for Radar Target Recognition, Radar Waveforms Design, SAR Signal and image processing, High Performance Computing, and SAR algorithms development for surveillance applications.  He was a technical lead for several DARPA programs including RFMLS (Radio Frequency Machine Learning Systems), TRACE (Target Recognition and Adaption for Contested Environments), and HIVE (Hierarchical Identify, Verify, and Exploit).  He led numerous in-house and external funded radar signal processing and machine learning programs. Dr. Majumder received several awards from AFRL including AFOSR STAR Team Research Award, Distinguished Research Achievement Award, and SPIE Rising Researchers Award. Dr. Uttam K. Majumder earned his Ph.D. in Electrical Engineering from Purdue University, West Lafayette, Indiana on the topic “Nearly Orthogonal Waveforms Design for MIMO Radar Applications”. He published two textbooks “Deep Learning for Radar and Communications Automatic Target Recognition” and "Essential Principles of Signals Collection and Analysis. Dr. Majumder submitted two patents.  In 2024, Dr. Majumder selected as Science and Technology Fellow for the Department of Defense. He is a senior member of IEEE and SPIE and a Distinguished Lecturer of IEEE AESS.