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SUMMARY:Air Transportation Systems Research at the University of Michigan
DTSTART:20250211T100000
DTEND:20250211T110000
DTSTAMP:20260315T161013Z
UID:49c5a73ddde87adc4a2a7aa28303c0d1b6726db45837eee03313a3fc
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Max Li\nAbstract\nThe Laboratory for Air Transportation\
 , Infrastructure\, and Connected Environments (LATTICE)\, situated in the 
 Department of Aerospace Engineering at the University of Michigan\, Ann Ar
 bor\, is focused on identifying and addressing research problems that cont
 ribute towards a safer\, more efficient\, more resilient\, as well as user
 - and equity-oriented air transportation system and other societal-scale i
 nfrastructures.\n\nIn this presentation\, Prof. Max Li will cover some ong
 oing and recently completed projects at LATTICE\, spanning methods such as
  stochastic/robust optimization\, bandit (exploration/exploitation) strate
 gies\, combinatorial programs (e.g.\, facility location problems\, vehicle
  routing problems)\, reinforcement learning\, and probabilistic privacy\, 
 applied to a variety of settings ranging from air traffic management\, UAS
  traffic management\, and space systems/infrastructures. The overarching g
 oal of his presentation is to solicit feedback and spur discussions\, pote
 ntially leading to new and exciting interdisciplinary and international co
 llaborations.\n\nShort bio\nMax Li is an Assistant Professor of Aerospace 
 Engineering at the University of Michigan\, Ann Arbor. He also has courtes
 y appointments in Civil and Environmental Engineering as well as Industria
 l and Operations Engineering. Prof. Li received his PhD in Aerospace Engin
 eering from the Massachusetts Institute of Technology in 2021. He earned h
 is MSE in Systems Engineering and BSE in Electrical Engineering and Mathem
 atics\, both from the University of Pennsylvania\, in 2018. Max’s resear
 ch and teaching interests include air transportation systems\, airport and
  airline operations\, Advanced Air Mobility\, networked systems\, as well 
 as optimization and control.\n 
LOCATION:GC B1 10 https://plan.epfl.ch/?room==GC%20B1%2010
STATUS:CONFIRMED
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