Dr. Khanh D. Pham

Fellow Member | Senior Aerospace Engineer at Air Force Research Lab
Pham, Khanh D.
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SPIE Membership: 6.0 years total | 6.0 years voting
SPIE Awards: Fellow status | Senior status
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Area of Expertise: Uncertainty Analysis and Quantification, Optics Control, Research Development and Engineering, Space Communications, Modelling, Simulation, and Analysis, Sensors and Systems for Space Applications
Websites: Company Website | Company Website
Social Media: LinkedIn | LinkedIn
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Profile Summary

Dr. Khanh Pham is a senior 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 Assistant Professor at University of New Mexico / Electrical Engineering and Computer Science Department researching on stochastic controls and game theory. He is a Senior Member of Institute of Electrical and Electronics Engineers (IEEE), a Fellow of Society of Photo-Optical and Instrumentation Engineers (SPIE) and an Associate Fellow of American Institute of Aeronautics and Astronautics (AIAA). Dr. Pham currently serves as a Technical Editor for Intelligent Systems of the IEEE Transactions on Aerospace and Electronics Systems. His research interests have focused on statistical optimal control and estimation; decision analysis of adversarial systems; fault-tolerant control; dynamic game decision optimization; security of cyber-physical systems; satellite cognitive radios; and control and coordination of large-scale dynamical systems, compiling 250+ 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 currently holds 17 US patent and 13 pending patent applications.

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