Dr. Shubha Kadambe has in-depth experience in the development of advanced and innovative machine learning and artificial intelligence algorithms for applications such as electronic warfare, EW battle management, radar, sonar, speech and communications.
Dr. Kadambe uses this background to lead engineers in the research and development of ML/AI capabilities for cognitive EW; EW battle management; activity based intelligence (ABI); smart sensors; human-machine teaming; and efficient decision making tools to reduce warfighter workloads and improve their ability to make quick decisions. Prior to joining Raytheon in February of 2013, Dr. Kadambe worked at Rockwell Collins, Inc. where she led a team of engineers to develop, from concepts to prototype, a cognitive EW architecture and system to be part of a larger communication system. Dr. Kadambe was a program officer at the Office of Naval Research (ONR) prior to joining Rockwell Collins. At ONR, she managed signal/image processing and understanding, a multi university research initiative, and Small Business Innovation Research (SBIR) programs.
Additionally, Dr. Kadambe has held various research positions at HRL Laboratories, Atlantic Aerospace Electronics Corporation and AT&T Bell Laboratories, where she successfully completed several Defense Advanced Research Projects Agency (DARPA) projects and other Department of Defense (DoD) funded projects as PI. Dr. Kadambe’ s technical credits include ninety refereed journal and conference papers, eight invited chapters, an IEEE video tutorial on Wavelets and its applications, 30 US patents and four trade secrets.
Dr. Kadambe has taught graduate and undergraduate courses at California Institute of Technology, University of California Los Angeles, University of Southern California and University of Maryland Baltimore Campus.