Waterloo. AI Seminar: Dr. Max Li on Uncertainties in the Airspace

Wednesday, February 21, 2024 2:00 pm - 3:00 pm EST (GMT -05:00)
Dr. Max Li

Title: Uncertainties in the Airspace: From Distributional Robust Air Traffic Flow Management to Stochastic Routing Problems for Drone Package Delivery Systems

Abstract: Dr. Li's talk will first address the challenges in air traffic flow management, focusing on the development and application of distributionally robust optimization techniques. These advanced methods are essential for managing the uncertainties and complexities in air traffic control and ensuring efficient and safe airspace utilization.

The seminar will also explore the burgeoning field of drone technology, specifically examining the stochastic routing problems associated with drone package delivery systems. Dr. Li will shed light on how these unmanned aerial vehicles are revolutionizing package delivery, emphasizing the need for innovative solutions to navigate uncertainties and optimize routes for efficiency and reliability.

This seminar offers a unique opportunity for students, faculty, and industry professionals to gain valuable insights into cutting-edge research and developments in aerospace engineering, particularly in managing uncertainties in the rapidly evolving airspace sector.

Speaker Bio: Dr. Max Li is an Assistant Professor of Aerospace Engineering at the University of Michigan, Ann Arbor. He also has courtesy appointments in Civil and Environmental Engineering as well as Industrial and Operations Engineering. Max received his PhD in Aerospace Engineering from the Massachusetts Institute of Technology in 2021. He earned his MSE in Systems Engineering and BSE in Electrical Engineering and Mathematics, both from the University of Pennsylvania, in 2018. Max’s research and teaching interests include air transportation systems, airport and airline operations, Advanced Air Mobility, networked systems, as well as optimization and control.

Date: Wednesday, February 21, 2024

Time: 2:00 PM - 3:00 PM EST

Location: E7-7303, E7-7363