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Topic
TSL presents - The Promise and the Challenge of Advanced Air Mobility
Description
Advanced Air Mobility (AAM) operations – characterized by electric and hybrid aircraft, and highly-automated operations – are expected to dramatically transform the way in which we transport people and goods, as well as our ability to sense our world from the sky. The deployment of new vehicle types, business models, and aircraft operators will increase competition for already constrained airspace resources. Consequently, fairness and privacy, in addition to the traditional goal of efficiency, will become important considerations. In this talk, I will discuss emerging AAM traffic management challenges, and some of our initial work in overcoming them and realizing the promise of Advanced Air Mobility.
Time
Jun 3, 2022 10:00 AM in
Eastern Time (US and Canada)
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Hi there, You are invited to a Zoom webinar. When: Jun 3, 2022 10:00 AM Eastern Time (US and Canada) Topic: TSL presents - The Promise and the Challenge of Advanced Air Mobility Register in advance for this webinar: https://us06web.zoom.us/webinar/register/WN_P1UR6zYjT263vUaXMKRw-A After registering, you will receive a confirmation email containing information about joining the webinar. ---------- Webinar Speakers Hamsa Balakrishnan (Professor of Aeronautics and Astronautics @Massachusetts Institute of Technology (MIT)) I am the William E. Leonhard (1940) Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT), where I lead the Dynamics, Infrastructure Networks, and Mobility (DINaMo) Research Group. My current research interests are in the design, analysis, and implementation of control and optimization algorithms for large-scale cyber-physical infrastructures, with an emphasis on air transportation systems. These include airport congestion control algorithms, air traffic routing and airspace resource allocation methods, machine learning for weather forecasts and flight delay prediction, and methods to mitigate environmental impacts. My research spans theory and practice, including both algorithm development and real-world field tests.
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