Adam Bekit 2026

Adam Bekit

Decision Dominance Branch Supervisor, Air and Missile Defense Sector, Johns Hopkins University Applied Physics Laboratory

Dr. Bekit brings a strong academic foundation and extensive technical expertise to the fields of artificial intelligence and machine learning (AI/ML). With years of experience leading research and development (R&D) for the U.S. Department of Defense (DoD), his work spans AI/ML, signal processing, algorithm design, data fusion, and object tracking — all with a focus on advancing Decision Dominance capabilities.

A creative problem solver and innovative researcher, Dr. Bekit develops cutting-edge technologies and concepts to address some of the nation’s most complex and evolving technical challenges. He also shares his expertise as a lecturer on advanced topics including Deep Learning, Generative AI, and Probability and Stochastic Processes.

Dr. Bekit is a proud member of the Johns Hopkins University (JHU) Data Science and Artificial Intelligence (DSAI) Institute.

The American Institute of Aeronautics and Astronautics (AIAA) is the largest and most prestigious community of aerospace professionals in the world. AIAA exists to help aerospace professionals and their organizations succeed across government, industry, and academia.

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