PeopleofSuperintelligence

Researcher

Gary B. Lamont

Also known as Gary Lamont

Gary B. Lamont is a professor of electrical and computer engineering at the Air Force Institute of Technology whose students and papers cover genetic algorithms for protein folding, multiobjective evolutionary algorithms and artificial immune systems for computer security. He earned a Bachelor of Physics in 1961, a master's degree in electrical engineering in 1967 and a PhD in 1970, all at the University of Minnesota Institute of Technology, and he wrote the textbook Digital Control Systems with Constantine Houpis, published in 1985 and again in 1992. In 2002 he co-wrote Evolutionary Algorithms for Solving Multi-Objective Problems with Carlos Coello Coello and David Van Veldhuizen, and in 2007 the IEEE Dayton Section gave him its Fritz Russ Bio-Engineering Award. In 2019 he co-authored a paper on trust and deception in hypergame theory with Nicholas Kovach, whose 2016 dissertation he had advised, and he is a professor at the Air Force Institute of Technology at Wright-Patterson Air Force Base.

Now at
Air Force Institute of Technology
Badges

Timeline

  1. 1961–1970

    Minnesota degrees in physics and engineering

    He earns a Bachelor of Physics in 1961, a Master of Science in Electrical Engineering in 1967 and a PhD in 1970, all at the University of Minnesota Institute of Technology.

  2. 1985–1992

    Digital Control Systems textbook

    He coauthors Digital Control Systems: Theory, Hardware, Software with Constantine Houpis, which McGraw-Hill publishes in 1985. A second revised edition follows from McGraw-Hill in 1992.

  3. 1993–2000

    Protein folding and multiobjective search

    In 1993, he is first advisor on Donald J. Brinkman's computer engineering master's thesis on genetic algorithms and the protein folding problem. In 1999, he supervises David A. Van Veldhuizen's doctoral thesis on multiobjective evolutionary algorithms at the Air Force Institute of Technology, and in 2000 the two publish "Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art" in the MIT Press journal Evolutionary Computation.

  4. 2002

    An immune-system security architecture

    In June 2002, he coauthors "An Artificial Immune System Architecture for Computer Security Applications" in IEEE Transactions on Evolutionary Computation, with Paul Williams, Kevin Anchor, John Bebo and Gregg Gunsch.

  5. 2002–2007

    Books on multi-objective algorithms

    In June 2002, Kluwer publishes Evolutionary Algorithms for Solving Multi-Objective Problems, written with Carlos A. Coello Coello and David A. Van Veldhuizen. In 2007, he edits Applications of Multi-Objective Evolutionary Algorithms for World Scientific with Coello Coello, and Springer issues a revised second edition of the 2002 book.

  6. 2007

    A Dayton bio-engineering award

    The IEEE Dayton Section gives him its Dr. Fritz J. Russ Bio-Engineering Award in 2007.

  7. 2016–2019

    Trust and deception in hypergames

    In 2016, Nicholas S. Kovach completes a dissertation on a temporal framework for hypergame analysis of cyber physical systems, with Lamont as first advisor. In 2019, the two present "Trust and Deception in Hypergame Theory," a temporal-logic model of trust and deception, at the IEEE National Aerospace and Electronics Conference.

  8. As of October 2026

    Professor at AFIT

    He is a professor of electrical and computer engineering in the Graduate School of Engineering and Management at the Air Force Institute of Technology, at Wright-Patterson Air Force Base. His research interests include parallel and distributed computation, evolutionary computation and artificial immune systems.

Career

  1. NowAir Force Institute of TechnologyProfessor of electrical and computer engineering

Education

  1. 1970University of MinnesotaBachelor of Physics, Master of Science in Electrical Engineering, PhD

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Minnesota. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Minnesota. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Minnesota. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  4. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. AFIT Bio for Dr. Gary B Lamont Professor afit.edu. Checked 21 October 2026.
  2. Genetic Algorithms and Their Application to the Protein Folding Problem scholar.afit.edu. Checked 21 October 2026.
  3. Multiobjective Evolutionary Algorithms: Classification, Analysis, and New Innovations gpbib.cs.ucl.ac.uk. Checked 21 October 2026.
  4. Awards – IEEE Dayton Section r2.ieee.org. Checked 21 October 2026.
  5. A Temporal Framework for Hypergame Analysis of Cyber Physical Systems in Contested Environments scholar.afit.edu. Checked 21 October 2026.
  6. Trust and Deception in Hypergame Theory scholar.afit.edu. Checked 21 October 2026.
  7. Gary Lamont | Journal of Information Warfare jinfowar.com. Checked 21 October 2026.