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, Language Models, and Probability and Stochastic Processes.
Dr. Bekit is a proud member of the Johns Hopkins University (JHU) Data Science and Artificial Intelligence (DSAI) Institute.
Education History
- B.S., Electrical Engineering, University of Maryland at College Park
- M.S., Electrical Engineering, University of Maryland Baltimore County
- MBA, Business Administration, Johns Hopkins University
- M.S., Electrical Engineering, Johns Hopkins University
- Ph.D., Electrical Engineering, University of Maryland Baltimore County
Publications
A. Bekit, B. Lampe, and C.-I Chang, “Unsupervised Hyperspectral Unmixing Using Compressive Sensing”, The International Society for Optics and Photonics, April 2016.
A. Bekit, B. Lampe, and C.-I Chang, “Unsupervised Hyperspectral Unmixing Using Compressive Sensing”, International Conference on Earth Observations and Societal Impacts, July 2018.
A. Bekit, B. Lampe, and C.-I Chang, Chao-Cheng Wu, “N-FINDER for Finding Endmembers in Compressively Sensed Band Domain” IEEE Transaction on Geoscience and Remote Sensing, October 2019.
A. Bekit, B. Lampe, C. J. Della Porta, C.-I Chang, and B. Xue, “Unsupervised Automatic Target Generation Process via Compressive Sensing”, SPIE, March 2019.
C. J. Della Porta, A. Bekit, B. Lampe, C.-I Chang, “A compressed sensing approach to hyperspectral classification”, May 2019.
C. J. Della Porta, A. Bekit, B. Lampe, and C.-I Chang, “A universal sensing model for compressed hyperspectral image analysis” SPIE, March 2019.
B. Lampe, A. Bekit and C.-I Chang, “Unsupervised Band Selection Using Sparsity and Incoherence”, The International Society for Optics and Photonics, April 2016.
B. Lampe, A. Bekit and C.-I Chang, “A New property of Compressive Sensing for Hyperspectral Data Processing”, International Conference on Earth Observations and Societal Impacts, July 2018.
C. J. Della Porta, A. Bekit, B. Lampe, and C.-I Chang, “Hyperspectral Image Classification Via Compressive Sensing”, IEEE Transaction on Geoscience and Remote Sensing, October 2019.
B. Lampe, A. Bekit, C. J. Della Porta, C.-I Chang, “Restricted Entropy and Spectrum Properties for Compressive Sensing in Hyperspectral Imaging”, IEEE Transaction on Geoscience and Remote Sensing, 2019
Honors and Awards
- DoD Achievement Award (2022)
- Leadership Excellence Award (2022)
- DoD Outstanding Team Achievement Award (2020)
- DoD Innovation in the Workplace Award (2019)
Professional Organizations
Association for the Advancement of Artificial Intelligence (AAAI)
Neural Information Processing Systems (NIPS) Foundation
Institute of Electrical and Electronics Engineers (IEEE)