ICON Seminar in IoT. Professor. Qi Zhu (ECE - Northwestern University)

Time: 3:00-4:00 pm Eastern Time, February 2 (Friday), 2024

Location: MSEE 112

Zoom Link: https://purdue-edu.zoom.us/j/98798335169?pwd=ZFNMdmZXendoQ1RCRDczM2dTR1RIdz09

Free coffee and snacks will be provided.

Know the Unknowns: Design Automation for Learning-Enabled Cyber-Physical Systems

Abstract:

Future learning-enabled cyber-physical systems (LE-CPSs), such as self-driving cars and robotic systems, will employ complex machine learning-based sensing, computation, and communication components, operate in highly dynamic and uncertain environments, and make intelligent decisions with safety and security assurance. To realize this vision, we must better understand and address the challenges from the “unknowns” – the inherent uncertainties from system inputs and model inaccuracies, the environment interferences and malicious attacks, the unexpected disturbances from component failures, and the lack of analyzability of neural network-based learning components. In this talk, using connected and autonomous vehicles (CAVs) as an example, I will discuss these challenges and present some of our recent work in developing new design automation methodologies and tools to tackle them. These include 1) a holistic set of end-to-end verification, design, and adaptation methods for ensuring the robust and safe application of neural networks in the perception, planning, and control of LE-CPSs; 2) cross-layer methods based on the weakly-hard paradigm for mitigating execution disturbances; and 3) machine learning algorithms that address various data challenges.

Speaker:

Qi Zhu is an Associate Professor in the ECE Department at Northwestern University. He earned his Ph.D. in EECS from the University of California, Berkeley in 2008 and a B.E. in CS from Tsinghua University in 2003. His research interests include design automation for cyber-physical systems (CPSs) and Internet of Things (IoTs), safe and robust machine learning for CPS and IoT, cyber-physical security, and system-on-chip design, with applications in domains such as connected and autonomous vehicles, energy-efficient smart buildings, and robotic systems. He is a recipient of the NSF CAREER award, the IEEE TCCPS Early-Career Award, and the Humboldt Research Fellowship for Experienced Researchers. He received best paper awards at DAC 2006, DAC 2007, ICCPS 2013, ACM TODAES 2016, and DATE 2022. He is the Conference Chair for IEEE TCCPS, and VP of Initiatives for IEEE CEDA. He is an Associate Editor for IEEE TCAD, ACM TCPS, and IET Cyber-Physical Systems: Theory & Applications, and has served as a Guest Editor for the Proceedings of the IEEE, ACM TCPS, IEEE T-ASE, Elsevier JSA, and Elsevier Integration, the VLSI journal.

Recording:

https://www.youtube.com/watch?v=2pBnH2QPgto

Organizers: Ziran Wang (ziran@purdue.edu), Nak-seung Patrick Hyun (nhyun@purdue.edu), & Tho Le (thovle@purdue.edu)