ABSTRACT:

The emerging electric vertical take-off and landing (eVTOL) aircraft technologies and urban air mobility (UAM) concepts are expected to change the aviation landscape. In order to enable safe and high-density UAM operations, new mathematical models and autonomy algorithms are needed to support flight planning, air traffic management and avionics functions. In this talk the speaker will initiate exciting and open-ended discussions on the new possible flight planning and coordination models, learning-based separation assurance algorithm and AI certification concerns in aviation autonomy.

BIO:

Peng Wei is an associate 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 certification tools for aviation, aeronautics and aerial robotics. His current focus is on safety, efficiency, and scalability of decision making systems in complex, uncertain and dynamic environments. Prof. Wei is an AIAA Associate Fellow. He serves as an associate editor for AIAA Journal of Aerospace Information Systems, and the chairperson of the AIAA Air Transportation Systems Technical Committee. He received his Ph.D. degree in Aerospace Engineering from Purdue University in 2013 and bachelor degree in Control Theory from Tsinghua University in 2007.

 Hosted by Professor Quanquan Gu