Ian Riley

Education

M.Sc. in Computer Science, 2018, The University of Tulsa, Tulsa, OK
B.S. in Computer Science, 2016, The University of Tulsa, Tulsa, OK

Biographical Information

Ian Riley is a doctoral student in the SEAT lab in the Tandy School of Computer Science at the University of Tulsa. His research interests include self-adaptive systems, formal methods, internet-of-things, high performance computing, software engineering, and computer science education (K-12 and higher education).

Publications

  • Riley, I. and Gamble, R.F., “Using System Profiling for Effective Degradation Detection,” Proceedings of the 15th IEEE International Conference on Autonomic Computing, Sept. 2018.
  • Alqahtani, S., Riley, I., Taylor, S., Gamble, R.F., and Mailler, R., “MTL Robustness for Path Planning with A*,” Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems, July 2018.
  • Alqahtani, S., Riley, I., Taylor, S., Gamble, R.F., and Mailler R., “Task Allocation in Uncertain Environments using a QuadTree and Flow Network,” Proceedings of the 2018 International Conference on Unmanned Aircraft Systems, June 2018.
  • Riley, I. and Gamble, R.F., “Employing the SI Network Model to Evaluate Network Propagation in Bluetooth MANETs,” Proceedings of the IEEE International Conference on Internet of Things, July 2018.
  • Walter, C., Riley, I., and Gamble, R.F., “Securing Wearables through the Creation of a Personal Fog,” Proceedings of the 51st Hawaii International Conference on System Sciences, nominated for Best Paper Award (top 10%), Jan. 2018.
  • Walter, C., Riley, I., He, X., Robards, E., and Gamble, R.F., “Toward Predicting Secure Environments for Wearable Devices,” Proceedings of the 50th Hawaii International Conference on System Sciences, nominated for Best Paper Award (top 10%), Jan. 2017. DOI: 10.24251/HICSS.2017.701
  • Walter, C., Riley, I., and Gamble, R.F., “Configuring an Appropriate Team Environment to Satisfy Relevant Criteria,” 2016 IEEE Frontiers in Education Conference (FIE), 2016. DOI: 10.1109/FIE.2016.7757707

Courses Taught

  • CS-2123, Data Structures, SP’19
  • CS-3033, Web Apps Development, FA’18.