Dr. Khanh D. Pham

Fellow Member | Supervisory Principal Aerospace Engineer at Air Force Research Lab
Pham, Khanh D.
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SPIE Membership: 6.0 years
SPIE Awards: Fellow status | Senior status
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Area of Expertise: Positioning, Navigation and Timing, Optics Control, Cognitive Radios & Networking, Space Communications, Space Command & Control, Sensors and Systems for Space Applications
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ORCID iD: https://orcid.org/0000-0002-4768-9365
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Profile Summary

Dr. Khanh Pham is a supervisory principal aerospace engineer at the Air Force Research Laboratory-Space Vehicles Directorate at Kirtland Air Force Base, New Mexico, USA. He received his Bachelor and Master of Science Degrees in Electrical Engineering from the University of Nebraska-Lincoln in 1997 and 1998, and a Ph.D. in Electrical Engineering from the University of Notre Dame in 2004. Dr. Pham has been an Adjunct Research Professor at University of New Mexico / Electrical Engineering Department researching on stochastic controls and game theory. He is a Fellow of the Institute of Electrical and Electronics Engineers, National Academy of Inventors, Society of Photo-Optical and Instrumentation Engineers, Air Force Research Laboratory, Institution of Engineering and Technology, American Astronautical Society, Royal Aeronautical Society, International Association for the Advancement of Space Safety, Royal Astronomical Society, and the Asia-Pacific Artificial Intelligence Association. Moreover, he is also an Associate Fellow of the American Institute of Aeronautics and Astronautics and the Royal Institute of Navigation. Dr. Pham served as a Senior Editor for the IEEE Transactions on Aerospace and Electronics Systems. His research interests include statistical optimal control and estimation; decision analysis of adversarial systems; resilient navigation and authentication; dynamic game decision optimization; security of cyber-physical systems; satellite cognitive radios; digital predistortion, digital beamforming, and control and coordination of large-scale dynamical systems, compiling 300+ scientific papers and book chapters. His research monographs include “Resilient Controls for Ordering Uncertain Prospects: Change and Response” (ISBN 978-3-319-08704-7, Springer 2014) and “Linear-Quadratic Controls in Risk-Averse Decision Making: Performance-Measure Statistics and Control Decision Optimization” (ISBN 978-1-4614-5078-8, Springer 2012). He holds 35 US patents.

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