Peng Wei

Headshot of Peng Wei
Title:
Assistant Professor (Effective January 2020)
Email:
[email protected]
Website:
web.seas.gwu.edu/pwei

 

By contributing to the intersection of control, optimization, machine learning, and artificial intelligence, Dr. Wei develops autonomy and human-in-the-loop decision making systems for aeronautics, aviation and aerial robotics. His current focus is on safety, efficiency, and scalability for decision making in uncertain and dynamic environments. Recent applications include: air traffic control/management, airline operations, UAS traffic management, eVTOL urban air mobility, and autonomous drone racing. Dr. Wei leads the Intelligent Aerospace Systems Lab (IASL).

 

  • B.S., Tsinghua University, 2007
  • M.S., Stony Brook University, 2009
  • Ph.D., Purdue University, 2013

 

  • Control
  • Optimization
  • Machine learning
  • Artificial intelligence
  • P. Pradeep and P. Wei, “Energy Efficient Arrival with RTA Constraint for Multirotor eVTOL in Urban Air Mobility,” AIAA Journal of Aerospace Information Systems, 2019
  • G. Zhu and P. Wei, “Pre-Departure Flight Planning for Urban Air Mobility Flights with Dynamic Aerospace Reservation,” AIAA Aviation, Dallas, TX, June 2019
  • J. Bertram, X. Yang and P. Wei, “Online Flight Planner with Dynamic Obstacles for Urban Air Mobility,” AIAA Aviation, Dallas, TX, June 2019
  • X. Zheng and P. Wei, “Air Transportation Direct Share Time Series Analysis and Forecast,” AIAA Aviation, Dallas, TX, June 2019
  • I.C. Kleinbekman, M. Mitici and P. Wei, “eVTOL Arrival Sequencing and Scheduling for On-Demand Urban Air Mobility,” AIAA/IEEE Digital Avionics Systems Conference (DASC), London, England, UK, Sept. 2018
  • G. Zhu, P. Wei, R. Hoffman, and B. Hackney, “Centralized Disaggregate Stochastic Allocation Models for Collaborative Trajectory Options Program (CTOP),” AIAA/IEEE Digital Avionics Systems Conference (DASC), London, England, UK, Sept. 2018
  • M. Brittain and P. Wei, “Autonomous Aircraft Sequencing and Separation with Hierarchical Deep Reinforcement Learning,” International Conference on Research in Air Transportation (ICRAT), Barcelona, Spain, June 2018
  • G. Zhu, P. Wei, R. Hoffman, and B. Hackney, “Aggregate Multi-commodity Stochastic Models for Collaborative Trajectory Options Program (CTOP),” International Conference on Research in Air Transportation (ICRAT), Barcelona, Spain, June 2018
  • X. Yang and P. Wei, “Autonomous On-Demand Free Flight Operations in Urban Air Mobility using Monte Carlo Tree Search,” International Conference on Research in Air Transportation (ICRAT), Barcelona, Spain, June 2018
  • Best Paper Award, IEEE/CSAA Guidance, Navigation and Control Conference (GNCC), 2018
  • Best Paper Award, International Conference for Research in Air Transportation (ICRAT), 2018
  • Black and Veatch Faculty Fellow at Iowa State University College of Engineering, 2017
  • Purdue College of Engineering Outstanding Graduate Student Research Award, 2013