Gary B Lamont

Dr. Gary B. Lamont is a Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), part of Air University. His work bridges computational intelligence, evolutionary algorithms, and defense systems engineering, with extensive applications in aerospace, cybersecurity, and autonomous systems.

• Ph.D., University of Minnesota Institute of Technology, 1970
• Master of Science in Electrical Engineering, University of Minnesota Institute of Technology, 1967
• Bachelor of Physics, University of Minnesota Institute of Technology, 1961

Dr. Lamont’s research centers on multi-objective evolutionary algorithms (MOEAs), with applications in UAV swarm mission planning, network intrusion detection, image processing, and protein structure prediction. He has pioneered the use of evolutionary computation in military and defense contexts, including radar waveform design, satellite constellation planning, and autonomous agent behavior generation. His work often integrates swarm intelligence, artificial immune systems, and distributed optimization techniques.

The recent publications highlight a strong trend toward military and defense applications of computational intelligence, particularly in electronic warfare, space surveillance, and cyber defense. His work frequently employs multi-objective optimization to balance competing constraints in real-world systems such as radar, UAV swarms, and network security architectures. Image processing and signal transformation using evolved algorithms also remain active areas, especially for defense imaging and compression.

• IEEE Fritz Russ Bio-Engineering Award, 2008
• IEEE Senior Life Member, 2004
• Eta Kappa Nu AFIT Teacher of the Year, 2002
• WPAFB Professional Employee of the Year, 1981
• Best Presentation Award, Institute of Navigation, 2008
• BEST PAPER AWARD, Gameon North America '09
• Best Paper Award Nominee, IEEE SSCI 2007

Dr. Lamont has advised numerous graduate students, including Jeremy Stringer, Mark Kleeman, and Dustin Nowak, many of whom have co-authored significant publications with him. His research has been supported by the U.S. Air Force and other defense agencies, enabling high-impact work in autonomous systems, network security, and optimization under uncertainty. He has led projects involving multi-agent systems, self-organized swarms, and parallel evolutionary algorithms, often in collaboration with institutions like Wright-Patterson Air Force Base.

His research group at AFIT operates at the intersection of computational intelligence and defense engineering, focusing on self-organized UAV swarms, evolutionary intrusion detection systems, and adaptive signal processing. The team utilizes high-performance computing environments and simulation platforms like Swarmfare to test swarm behavior and mission planning algorithms. The lab emphasizes software engineering discipline in AI systems, as seen in tools like jREMISA, and integrates biological metaphors such as immune systems and genetic algorithms into robust cyber defense frameworks.