About
Ian Riley, Ph.D., is an instructor at The University of Tulsa’s Tandy School of Computer Science. His primary research area is the functional assurance of autonomous systems in safety/mission critical domains. His dissertation topic was on the design and implementation of a negotiation strategy to dynamically integrate distinct self-organizing systems. A key feature of his research effort is the inclusion of stochastic modeling to measure the expected utility of adaptations given associated potential risks and operational costs. Riley has experience working on research grants for the Air Force Research Laboratory (AFRL) investigating self-adaptive systems for mission-critical applications, research grants for local industries investigating data analysis techniques, and research grants for the Engineer Research and Development Center (ERDC) investigating software architectures for self-adaptive intrusion detection systems and IoT devices.
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 and areas of expertise
- Computer science
- Algorithms and data structures
- Software engineering
- Ethical AI
- Logical verification
- Formal methods
- Autonomous adaptive systems