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Graduate Seminar Series - Dr. Peng Wei

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Assistant Professor in Department of Mechanical and Aerospace Engineering at George Washington University, Associate Editor for AIAA Journal of Aerospace Information Systems

Title: Distributed Autonomous Separation Assurance with Deep Multi-Agent Reinforcement Learning

ABSTRACT:

Urban Air Mobility (UAM) is an envisioned air transportation concept, where intelligent flying machines could safely and efficiently transport passengers and cargo within urban areas by rising above the traffic congestion on the ground. How can we design an autonomous aircraft separation assurance tool to enable large-scale flight operations in high-density urban airspace environments? In this talk the speaker will present studies to address this critical research challenge using multi-agent reinforcement learning and attention networks.

BIO:

Peng Wei is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the George Washington University, with courtesy appointments at Electrical and Computer Engineering Department and Computer Science Department. By contributing to the intersection of control, optimization, machine learning, and artificial intelligence, he develops autonomy and decision support tools for aeronautics, aviation and aerial robotics. His current focus is on safety, efficiency, and scalability of decision-making systems in complex, uncertain and dynamic environments. Peng is an associate editor for the AIAA Journal of Aerospace Information Systems. He received his Ph.D. degree in Aerospace Engineering from Purdue University in 2013.

Day: February 18th, 2022
Time: 3:00 - 4:00 PM
Location: In-person JH 109 or via Zoom  https://nmsu.zoom.us/j/99609263954