Wenbin Wan, Ph.D.
wenbinw2@illinois.edu
Department of Mechanical Science and Engineering
University of Illinois at Urbana-Champaign
Interests: Controls \(\cup\) Machine Learning \(\cap\) CPS
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Research
Projects
Safe Planning under Large Uncertainties
Inspired by the Miracle on the Hudson1, we aim to design a decision-making architecture that can quickly make a sequence of decisions for autonomous systems. We will integrate neuroscience, control theory, and machine learning by adequately leveraging their advantages towards having a safety guarantee under large uncertainties. More details
Safe Operation of Connected Vehicles in Unforeseen Environments
This project aims to develop a multi-level adaptive control architecture, where the proactive level leverages data over a cloud network to cope with unforeseen environmental uncertainties and support high-level decision making, while the reactive level uses machine learning and robust adaptive control to compensate for uncertainties. More details
Cyber-Physical Systems Security
Recent developments of Cyber-Physical Systems (CPS) and their safety-critical applications, such as power systems, critical infrastructures, transportation networks, and industrial control systems, have led to a renewed interest in CPS security. In this project, we aim to study and develop attack-resilient estimation and detection algorithms for CPS. More details
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US Airways Flight 1549: https://en.wikipedia.org/wiki/US_Airways_Flight_1549. ↩