John Samsundar is a principal staff member at the Johns Hopkins University Applied Physics Laboratory (APL). He has over twenty years of professional experience in modeling, simulation, and algorithm development, with a focus on machine learning and deep learning, sensor fusion, multi-hypothesis tracking, sensor scheduling, estimation, geo-location, optimization, signal processing, computer vision, and dynamics and controls.
Education History
- B.S, Physics, CUNY
- MS, System Engineering, JHU
- M.S, Electrical Engineering, JHU
- M.S, Aerospace Engineering, Iowa State
- Ph.D., Aerospace Engineering, Iowa State University
Work Experience
Principal Professional Staff, JHU Applied Physics Laboratory
Courses
Applied Kalman Filtering
525.745
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Passive Emitter Geo-Location
525.744
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