Ian Riley

Ian Riley is an Instructional Assistant Professor at The University of Tulsa's Tandy School of Computer Science. His research focuses on functional assurance of autonomous systems, self-adaptive systems, and stochastic modeling for risk analysis. He has collaborated with the Air Force Research Laboratory (AFRL), Engineer Research and Development Center (ERDC), and local industries on projects spanning software architecture, intrusion detection, and data analysis techniques.

• Education:
  • Ph.D., Computer Science, The University of Tulsa (2024)
  • M.S., Computer Science, The University of Tulsa (2018)
  • B.S., Computer Science and Mathematics, The University of Tulsa (2016)

Research Interests
Riley specializes in safety/mission-critical autonomous systems, with expertise in self-organizing systems integration, stochastic modeling, and adaptive software architectures. His work addresses dynamic system integration, risk-cost trade-offs, and intrusion detection in IoT environments.

Collaborations & Grants
He has secured research funding from AFRL for self-adaptive systems, ERDC for software architecture investigations, and local industries for data analysis projects.

Labs & Teams
Riley is affiliated with the Software Engineering and Architecture Team at The University of Tulsa.