Philip Brown

Philip Brown is an Associate Professor in the Department of Computer Science at the University of Colorado at Colorado Springs. He received his PhD in Electrical and Computer Engineering from the University of California, Santa Barbara in 2018 under the supervision of Jason R. Marden. His research focuses on the intersection of technology and society, utilizing game theory, optimization, and multiagent systems to study incentive mechanisms, cybersecurity, and smart infrastructure.

• Current Projects:
  • CAREER: Endogenous Information Design for smart transportation networks
  • AFOSR YIP: Robust multiagent coordination with randomized algorithms
  • Deriving satellite maneuver intent via game theory
• Past Projects:
  • Socially Networked Autonomy: Autonomous vehicle routing
  • COVID-19 Policy Optimization: Localized decision frameworks
  • Value-Based Access Control: Path security mechanisms
  • Dynamic Aviation Routing: Weather-aware path selection

Research Areas: Dr. Brown's work spans game theory applications in cyber-social systems, robust network games, and strategic security modeling. He explores how financial/informational incentives shape crowd behavior in smart cities, cybersecurity vulnerabilities from mis-modeled attackers, and the paradoxes of altruism in transportation networks.

Publication Trends: His recent articles focus on endogenous Bayesian games for information design, altruism dynamics in congestion games, security modeling for autonomous systems, and pandemic policy analysis. Key subfields include network robustness, incentive mechanisms, and human-machine interaction in infrastructure systems.

• Scientific Awards:
  • NSF CAREER award (2025)
  • UCCS Outstanding Teacher Award (2024)
  • AFOSR Young Investigator Award (2022)
  • CCDC Best PhD Thesis Award (2018)
  • Best Paper awards at EAI GameNets, IEEE conferences

Advising: Dr. Brown has advised 2 PhD graduates (Joshua Seaton & Brandon Collins) and multiple Master's/undergraduate researchers. His lab (DeSCon) investigates decision-making mathematics in infrastructure, epidemiology, and multiagent systems.