• Professor, Computer Science & Engineering
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Jason O'Kane

Educational Background

  • Ph.D., Computer Science, University of Illinois at Urbana-Champaign — 2007
  • M.S., Computer Science, University of Illinois at Urbana-Champaign — 2005
  • B.S., Computer Science, Taylor University — 2001

Research Interests

    • Autonomous robots
    • Planning algorithms
    • Computational geometry

Awards & Honors

  • Engineering Genesis Award, Texas A&M University – 2023
  • Distinguished Service Award, IEEE Robotics and Automation Society – 2020
  • Distinguished Research Service Award, University of South Carolina Office of Research – 2019
  • National Science Foundation Faculty Early Career Development (CAREER) Award – 2010

Selected Publications

  • Hazhar Rahmani, Dylan A. Shell, Jason M. O’Kane. ‘Planning to Chronicle: Optimal Policies for Narrative Observation of Unpredictable Events.’ International Journal of Robotics Research, 2022.
  • Rahmani, H., O’Kane, J. M. 2021. “Equivalence notions for state-space minimization of combinatorial filters.” IEEE Transactions on Robotics, 37(6):2117–2136.
  • Shell, D. A., O’Kane, J. M., Saberifar, F. Z. “On the design of minimal robots that can solve planning problems.” IEEE Transactions on Automation Science and Engineering, 18(3):876–887, July 2021.
  • Nicholas M. Stiffler, Jason M. O’Kane. ‘Complete and Optimal Visibility-Based Pursuit-Evasion.’International Journal of Robotics Research, 36:923–946, July 2017.
  • Jeremy S. Lewis, Jason M. O’Kane. ‘Planning for provably reliable navigation using an unreliable, nearly sensorless robot.’ International Journal of Robotics Research, 32(11):1339–1354, September 2013.
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