AAE Special Seminar Series: Dr. Huy T. Tran
Event Date: | March 29, 2019 |
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Hosted By: | AAE |
Time: | 11 am |
Location: | HAMP 2108 |
Priority: | Yes |
School or Program: | Aeronautics and Astronautics |
College Calendar: | Hide |
Harnessing Data for Resilient Systems: Resilience through Data-driven Modeling and Machine Intelligence
Dr. Hyun T. Tran
Research Assistant Professor
Aerospace Engineering Department
University of Illinois at Urbana-Champaign
Abstract
Modern aerospace systems must be resilient to operate in increasingly uncertain, dynamic, and contested environments. Moreover, the prevalence of distributed sensing and networking technologies has resulted in these systems becoming highly connected and interdependent cyber-physical systems. While these technologies enable improved performance, we must consider potential vulnerabilities their associated complexity introduces. My research aims to address this critical issue of system resilience by exploring two overarching questions: 1) what happens when systems encounter unexpected situations or disruptions, and 2) how can we mitigate undesired impacts of those encounters?
I particularly leverage advances in computing power and increasing data availability to develop models and algorithms for resilient systems.
In this talk, I will focus on network-theoretic and data-driven methods for understanding and ensuring resilience in aerospace systems. I will first discuss modeling and design of complex networked systems, with application to command and control networks. In particular, I will introduce a method for parametric exploration of the network design space that enables identification of critical thresholds in adaptive complex networks. I will then discuss how public data can support prediction of behaviors in large-scale networked systems. Specifically, I will present interdiction and machine learning models for predicting disruption impacts on infrastructure systems. Finally, I will describe recent work exploring resilience in autonomous systems, with a focus on mission planning for multi-agent systems.
Bio
Huy T. Tran is currently a Research Assistant Professor in the Aerospace Engineering department at the University of Illinois at Urbana-Champaign. He received a BS degree from North Carolina State University in 2008, and an MS degree from the University of Wisconsin–Madison in 2010, both in Mechanical Engineering. He received MS and PhD degrees in Aerospace Engineering from the Georgia Institute of Technology in 2014 and 2015. His current research focuses on designing resilient systems, through a combination of machine learning, reinforcement learning, network science, optimization, social media analytics, and agent-based modeling. Current application areas include transportation systems and other critical infrastructures, mission planning for autonomous multi-agent systems, and military system-of-systems. He is a member of the American Institute of Aeronautics and Astronautics (AIAA) and the Institute of Electrical and Electronics Engineers (IEEE).