Sean Mondesire, Ph.D.

Assistant Professor
Director, Human-centered AI Lab


Partnership 2: 330



  • Postdoc: U.S. Army Research Laboratory - Human Research & Engineering Directorate

  • Ph.D., Computer Science, University of Central Florida


  • Assistant Professor, 2023 – Present
    University of Central Florida: Institute for Simulation and Training
  • Assistant Research Professor, 2021 – 2023
    University of Central Florida: Institute for Simulation and Training
  • Assistant Professor: Computer Science and Big Data Analytics, 2018 – 2021
    Undergraduate Program Director: B.S. Computer Science
    Graduate Program Director: M.S. Big Data Analytics, M.S. Cybersecurity Analytics
    St. Thomas University

Courses Taught

  • IDC 5602: Cybersecurity: A Multidisciplinary Approach

  • IDS 5741: Modeling Neuronal Systems

  • IDC 6941: Capstone in Modeling and Simulation of Behavioral Cybersecurity
  • IDC 6601: Behavioral Aspects of Cybersecurity
  • IDC 6600: Emerging Cyber Issues
  • COP 6671: Intelligent Systems: Robots, Agents, and Humans


Thomas Schiller and Sean Mondesire, “Human-out-of-the-Loop Swarm-based IoT Network Penetration Testing by IoT Devices,” presented at the Annual Modeling and Simulation Conference 2023 (ANNSIM 2023), Hamilton, Ontario, Canada: Society for Modeling and Simulation International (SCS), May 2023, p. 2.

Thomas Schiller and Sean Mondesire, “Swarm-based IoT Network Penetration Testing by IoT Devices,” presented at the 21st International Conference on Applied Cryptography and Network Security (ACNS 2023), Kyoto, Japan: Springer (LNCS Series), Jun. 2023, p. 5.

Sean Mondesire and R. Paul Wiegand, “Mitigating Catastrophic Forgetting with Complementary Layered Learning,” Journal Electronics - Special Issue: Modeling and Simulation Methods: Recent Advances and Applications, Vol. 1, Issue 1, 2023.

Jordan Dauble and Sean Mondesire, “Prioritizing Improvements in Cyber Defender Knowledge, Skills, and Abilities using Cyber Simulation,” In Proceedings of the Simulation Innovation Workshop (SIW), Orlando, FL., 2023.

Austin Starken, Bruce Caulkins, Annie S. Wu, Sean C. Mondesire, “Trends in Machine Learning for Adaptive Automated Forces,” In Proceedings of the Interservice/Industry Training, Simulation and Education Conference (IT/TSEC '22), December 2022.

Enzo Novi Migliano, Kelly M. Rivera, William Frazee, Louis Alvarez, Sean C. Mondesire, “Evaluating the Consistency of Student Performance Models for Individuals,” The 21st Int'l Conf on e-Learning, e-Business, Enterprise Information Systems, and e-Government (EEE ‘22), July 2022.

Research Interests:

Autonomous Multi-agent Systems
Big Data Analytics
Digital Twins
Distributed Computing Architectures
Educational Algorithm Design
Educational Data Mining
Educational Learning Analytics
High-performance Computing
Scalable Solutions Integrating Simulations
Simulation Scaling

Areas of Expertise:

Big Data Analytics
Distributed Computing
Machine Learning
Predictive Analytics

Application Areas:

Microelectronics and Semiconductor Fabrication
Nuclear Reactor Safety