Presented By: Aerospace Engineering
Aerospace Engineering Department Seminar: Spectral Models For Air Transportation Networks
Max Li
Department of Aeronautics and Astronautics
Massachusetts Institute of Technology
Air transportation networks are canonical examples of highly interconnected and complex systems. Furthermore, these societal-scale infrastructures generate large amounts of data upon which decisions regarding operational safety, efficiency, and reliability must be made. Therefore, understanding the characteristics of performance measures such as air traffic delays is critical for developing ways to mitigate their significant economic and environmental impacts.
I will focus on network behavior and performance during disruptions (e.g., thunderstorms, nor'easters, hurricanes), and discuss how airport delays can be viewed as graph-supported signals, amenable to a variety of spectral and graph signal processing-based methods. Through this analysis, I characterize the spatial distribution of delays across a network of airports, highlighting key differences in delay dynamics between different types of disruptions and among different airline networks. I will then touch on some recent work regarding low-dimensional representations of airport network delays and how to use these representations to develop control and traffic flow management strategies. Finally, I will briefly discuss some salient research directions of interest to me, such as developing integrated solutions for managing disruptions in networks, gaining a better understand of graph-supported dynamical systems, and exploring issues of privacy in emerging aerospace mobility systems (e.g., UAS/AAM).
About the speaker...
Max is a PhD Candidate in the Department of Aeronautics and Astronautics (AeroAstro) at MIT. He is advised by Prof. Hamsa Balakrishnan, and is affiliated with the Dynamics, Infrastructure Networks, and Mobility (DINaMo) Research Group as well as the International Center for Air Transportation (ICAT). Max received a BSE in Electrical Engineering and Mathematics (2018), as well as an MSE in Systems Engineering (2018), both from the University of Pennsylvania. Broadly, he is interested in the analysis, control, and optimization of networks and networked processes, signal processing over irregular domains and manifolds, and geometric/topological data analysis, with an eye towards applications in air transportation systems and other societal-scale networks. He is the recipient of the Federal Aviation Administration RAISE Award (2018), a National Science Foundation Graduate Research Fellowship (2018), and the Wellington and Irene Loh Fellowship from MIT (2019), as well as several best paper awards from ICRAT and the ATM R&D Seminar, two joint FAA-Eurocontrol conferences.
Department of Aeronautics and Astronautics
Massachusetts Institute of Technology
Air transportation networks are canonical examples of highly interconnected and complex systems. Furthermore, these societal-scale infrastructures generate large amounts of data upon which decisions regarding operational safety, efficiency, and reliability must be made. Therefore, understanding the characteristics of performance measures such as air traffic delays is critical for developing ways to mitigate their significant economic and environmental impacts.
I will focus on network behavior and performance during disruptions (e.g., thunderstorms, nor'easters, hurricanes), and discuss how airport delays can be viewed as graph-supported signals, amenable to a variety of spectral and graph signal processing-based methods. Through this analysis, I characterize the spatial distribution of delays across a network of airports, highlighting key differences in delay dynamics between different types of disruptions and among different airline networks. I will then touch on some recent work regarding low-dimensional representations of airport network delays and how to use these representations to develop control and traffic flow management strategies. Finally, I will briefly discuss some salient research directions of interest to me, such as developing integrated solutions for managing disruptions in networks, gaining a better understand of graph-supported dynamical systems, and exploring issues of privacy in emerging aerospace mobility systems (e.g., UAS/AAM).
About the speaker...
Max is a PhD Candidate in the Department of Aeronautics and Astronautics (AeroAstro) at MIT. He is advised by Prof. Hamsa Balakrishnan, and is affiliated with the Dynamics, Infrastructure Networks, and Mobility (DINaMo) Research Group as well as the International Center for Air Transportation (ICAT). Max received a BSE in Electrical Engineering and Mathematics (2018), as well as an MSE in Systems Engineering (2018), both from the University of Pennsylvania. Broadly, he is interested in the analysis, control, and optimization of networks and networked processes, signal processing over irregular domains and manifolds, and geometric/topological data analysis, with an eye towards applications in air transportation systems and other societal-scale networks. He is the recipient of the Federal Aviation Administration RAISE Award (2018), a National Science Foundation Graduate Research Fellowship (2018), and the Wellington and Irene Loh Fellowship from MIT (2019), as well as several best paper awards from ICRAT and the ATM R&D Seminar, two joint FAA-Eurocontrol conferences.
Related Links
Explore Similar Events
-
Loading Similar Events...
