Professional Education

  • Ph.D., University of Virginia, Systems Engineering (2021)
  • M.S., Bogazici University, Electrical and Electronics Engineering (2016)
  • B.S., Bogazici University, Electrical and Electronics Engineering (2014)

Stanford Advisors

Contact

  • Academic
    University - Scholar Department: Aeronautics and Astronautics Position: Postdoctoral Scholar

Additional Info

Links

All Publications

  • Meta-Learning-Based Proactive Online Planning for UAVs Under Degraded Conditions IEEE ROBOTICS AND AUTOMATION LETTERS Yel, E., Gao, S., Bezzo, N. 2022; 7 (4): 10320-10327

    View details for DOI 10.1109/LRA.2022.3191792

    View details for Web of Science ID 000835813000064

  • Dynamics-aware spatiotemporal occupancy prediction in urban environments IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Toyungyernsub, M., Yel, E., Li, J., Kochenderfer, M. J. 2022

    View details for DOI 10.1109/IROS47612.2022.9981323

  • Fast, Safe, and Proactive Runtime Planning and Control of Autonomous Ground Vehicles in Changing Environments Glaubit, G., Kleeman, K., Law, N., Thomas, J., Gao, S., Peddi, R., Yel, E., Bezzo, N., IEEE IEEE. 2021: 474-479

    View details for Web of Science ID 000828133400083

  • A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions Yel, E., Bezzo, N., IEEE IEEE. 2021: 6884-6890

    View details for DOI 10.1109/IROS51168.2021.9635918

    View details for Web of Science ID 000755125505075

  • Computation-Aware Adaptive Planning and Scheduling for Safe Unmanned Airborne Operations JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS Yel, E., Lin, T. X., Bezzo, N. 2020; 100 (2): 575-596

    View details for DOI 10.1007/s10846-020-01192-2

    View details for Web of Science ID 000539959400001

  • Assured Runtime Monitoring and Planning: Toward Verification of Neural Networks for Safe Autonomous Operations IEEE ROBOTICS & AUTOMATION MAGAZINE Yel, E., Carpenter, T. J., Di Franco, C., Ivanov, R., Kantaros, Y., Lee, I., Weimer, J., Bezzo, N. 2020; 27 (2): 102-116

    View details for DOI 10.1109/MRA.2020.2981114

    View details for Web of Science ID 000542932400015

  • GP-based Runtime Planning, Learning, and Recovery for Safe UAV Operations under Unforeseen Disturbances Yel, E., Bezzo, N., IEEE IEEE. 2020: 2173-2180

    View details for DOI 10.1109/IROS45743.2020.9341641

    View details for Web of Science ID 000714033800102

  • Fast Run-time Monitoring, Replanning, and Recovery for Safe Autonomous System Operations Yel, E., Bezzo, N., IEEE IEEE. 2019: 1661-1667

    View details for Web of Science ID 000544658401053

  • Self-triggered Adaptive Planning and Scheduling of UAV Operations Yel, E., Lin, T. X., Bezzo, N., IEEE IEEE COMPUTER SOC. 2018: 7518-7524

    View details for Web of Science ID 000446394505104

  • Energy-aware Persistent Control of Heterogeneous Robotic Systems Lin, T. X., Yel, E., Bezzo, N., IEEE IEEE. 2018: 2782-2787

    View details for Web of Science ID 000591256602134

  • Reachability-based Self-triggered Scheduling and Replanning of UAV Operations Yel, E., Lin, T. X., Bezzo, N., IEEE IEEE. 2017: 221-228

    View details for Web of Science ID 000427173400031

https://orcid.org/0000-0002-0463-3601