Advising

• Led teams of graduate students and researchers at MIT CSAIL and NASA JPL in developing risk-aware decision-making and autonomy under uncertainty and AI algorithms for stochastic autonomous systems

• Mentored 20+ graduate students, postdocs, and researchers across multiple institutions spanning academia and industry

• Led interdisciplinary collaborations with 5+ institutions and industry partners (e.g., TRI, Boeing, IBM, Airbus)

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Ph.D. / Master Thesis Advising and Mentorship:

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1. Masafumi Endo, Ph.D. Student, Keio University, Japan, Visiting JPL Student, 2023-2025,
   Project: Continuous-time / real-time risk-bounded planning under uncertainty.
    

2. Kazuya Echigo Ph.D. Student, University of Washington, Visiting JPL Student, 2023-2025,
   Project: Risk-bounded nonlinear trajectory planning under uncertainty.
    

3. Guglielmo Daddi, Ph.D. Student, Politecnico di Torino, Visiting JPL Student, 2022-2023,
   Project: Risk-bounded task and motion planning under uncertainty.
    

4. Sangli Teng, Ph.D student, University of Michigan Ann Arbor, 2023-2024,
   Project: Convex optimization via lie groups and variational integrators and sparse moments relaxation.
    

5. Jared Miller, Ph.D Student, Northeastern University, 2023-2024,
   Project: Convex computation of value-at-risk bounds for nonlinear stochastic processes.
    

6. Meng Feng,  Ph.D Student, MIT, 2020-2025,
   Project: Constrained policy optimization for safe learning.
    

7. Weiqiao Han, Ph.D, MIT, 2020-2023,
   Project:  Nonlinear risk-bounded trajectory optimization under uncertainty. 
    

8. Allen Wang, Master's Student, MIT, 2018-2020,
   Project: Higher-order moments-based risk-bounded trajectory planning.
    

9. Charlses Dawson, Master's Student, MIT, 2019-2021,
   Project: Safe planning under uncertainty for high-DOF systems.
    

10. Xin (Cyrus) Huang, Ph.D Student, MIT, 2016-2022,
    Project: Deep-learning for probabilistic trajectory prediction for intent recognition.
     

11. Sungkweon Hong, Ph.D Student, MIT, 2017-2022,
    Project: Hybrid risk aware conditional planning under uncertainty.
     

12. Simon Fang, Ph.D Student, MIT, 2017-2021,
    Project: Chance constrained mixed logic programming.
     

13. Jingkai Chen, Ph.D Student, MIT, 2020-2022,
    Project: Multi-agent task planning for cooperative robots.
     

14. Marlyse Reeves, PhD, MIT, 2020-2024,
    Project: Risk-bounded multi-agent planning under uncertainty with active learning.
     

15. Dan Strawser, Ph.D Student, MIT, 2018-2019,
    Project: Planning under uncertainty in resource-constrained systems.
     

16. Matthew Deyo, Master's Student, MIT, 2016-2018,
    Project: Online risk-aware conditional planning under uncertainty. 

17. Yun Chang, MIT, 2017-2018,
    Project: Mapless risk bounded motion planning under uncertainty.
     

18. Siyu Dai, Master's Student, MIT, 2017-2019,
    Project: Real-time risk bounded planning under uncertainty for high-DOF robots. 
     

19. Sang Uk Lee, Ph.D Student, MIT, 2016-2018,
    Project: Robust human activity monitoring.
     

20. Majid Khonji, Visiting Faculty, 2018-2019,
    Project: Risk-aware planning under uncertainty for autonomous vehicles.

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Supported By: 

• IBM: Risk-bounded multi-agent planning with active learning.

• Kawasaki Heavy Industries (KHI): Multi-agent task planning for cooperative robots.

• Toyota Research Institute (TRI): Long-term multi-agent hybrid prediction.

• Toyota Research Institute (TRI): Automation for everyone.

• Toyota Research Institute (TRI): GEORDI-A driver's assistant for risk-bounded maneuvering.

• Boeing: Risk Aware Planning and Execution Monitoring for Safe Autonomous Aircraft Operation.

• AIRBUS:Risk-bounded architecture for robot control.

• Masdar: Multi-vehicle coordination with bounded risk.

• Exxon Mobil: Underwater vehicle control.