• Associate Department Head, Computer Science & Engineering
  • Professor of Practice, Computer Science & Engineering
Image of Martin Carlisle

Educational Background

  • Ph.D., Computer Science, Princeton University – 1996
  • B.S., Mathematics and Computer Science, University of Delaware – 1991

Research Interests

    • Computer security
    • Programming languages
    • Computer science education

Industry Experience

  • • Director of United States Air Force Academy Center for Cyberspace Research

Awards & Honors

  • Provost Academic Professional Track (APT) Faculty Teaching Excellence Award, Texas A&M University – 2025
  • Engineering Teaching Excellence Award, Texas A&M College of Engineering – 2024
  • Undergraduate Faculty Teaching Excellence Award, Texas A&M Computer Science and Engineering – 2023
  • Meritorious Civilian Service Award, United States Air Force – 2016
  • People Who Made a Difference in Security Award, SANS Institute – 2014
  • Distinguished Educator, Association for Computing Machinery (ACM) – 2009
  • Colorado Professor of the Year, the Carnegie Foundation for the Advancement of Teaching (CFAT) and the Council for Advancement and Support of Education (CASE) – 2008
  • Arthur S. Flemming Award, the National Academy of Public Administration and The George Washington University's Trachtenberg School of Public Policy and Public Administration – 2007

Selected Publications

  • Nguyen, M. D., Carlisle, M. “C/C++ Vulnerability Data Set Generation Framework using a Parser and LLM.” Proceedings of the 4th IEEE International Conference on AI in Cybersecurity (ICAIC), February 2025.
  • Seas, C., Fitzpatrick, G., Hamilton, J. A., Carlisle, M.C. “Automated vulnerability detection in source code using deep representation learning.” Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, January 2024.
  • M. Carlisle and B. Fagin. “IRONSIDES: DNS With No Single-Packet Denial of Service or Remote Code Execution Vulnerabilities,” Proceedings of IEEE GLOBECOM, December 2012.
  • M.Carlisle. “Using YouTube to Enhance Student Class Preparation in an Introductory Java Course,” Proceedings of the 41st SIGCSE Technical Symposium on Computer Science Education, Milwaukee WI, March 2010.
  • M. Carlisle, et.al. “RAPTOR: A Visual Programming Environment for Teaching Algorithmic Problem Solving”, Proceedings of the 36th SIGCSE Technical Symposium on Computer Science Education, Saint Louis MO, February 2005.