[AI Seminar Series] REMINDER: Seminar by Prof. Qi Zhu (Northwestern U.), Friday March 7, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Reminder for the AI Seminar tomorrow Friday at noon, by Prof. Zhu from 
Northwestern.
Please use the link below to register if you plan to attend.

Sincerely,
V. Tsotras

---------------
On 2025-03-02 13:31, Vassilis Tsotras wrote:
> The next talk at the AI Seminar Series will be on Friday, March 7,
> 12:00-1:00pm at the MRB Seminar Room (1st floor).
> 
> **** Pizza and refreshments will be provided ****
> 
> To keep track of the number of attendees, please *register* at:
> https://www.eventbrite.com/e/ai-seminar-series-tickets-1266523719539
> 
> The talk will be given by Prof. Qi Zhu, Department of Electrical and
> Computer Engineering, Northwestern University
> 
> TITLE:
> "Building Safe and Robust Embodied AI Systems"
> 
> ABSTRACT:
> Embodied AI systems are cyber-physical systems that employ advanced
> machine learning techniques to perceive, analyze, and interact with
> their environment. As these systems become more prevalent in fields
> such as self-driving cars and robotics, ensuring their safety and
> robustness has become a critical and yet challenging requirement. In
> this talk, I will discuss key challenges for building safe and robust
> embodied AI systems, particularly those arising from uncertainties in
> system inputs, model inaccuracies, and the lack of analyzability of
> neural network-based components. I will present our recent work on
> tackling these challenges by developing a holistic set of end-to-end
> verification, design, and adaptation methods to ensure the safe and
> robust application of neural networks in the perception, planning, and
> control of embodied AI systems.
> 
> 
> Bio: Qi Zhu is a 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 embodied AI systems, energy-efficient
> CPSs, cyber-physical security, and system-on-chip design, with
> applications in domains such as connected and autonomous vehicles,
> smart buildings, advanced manufacturing, wearable computing, 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, IEEE TCASAI, and ACM TCPS,
> and has served as a Guest Editor for the Proceedings of the IEEE, ACM
> TCPS, IEEE T-ASE, IEEE IoT Journal, Elsevier JSA, and Elsevier
> Integration, the VLSI journal.
> 
> 
> ------------------------------------
> Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents
> speakers working on cutting edge Foundational AI or apply AI in their
> research. The goal of these seminars is to inform the UCR community
> about current trends in AI research and promote collaborations between
> faculty in this emerging field.
> These seminars are open to interested faculty and graduate students.
> Please forward this email to other colleagues or graduate students in
> your lab that may be interested. After the seminar a discussion will
> follow for questions, open problems, ideas for possible collaborations
> etc.
> 
> Sincerely,
> Vassilis Tsotras
> Professor, CSE Department
> co-Director, RAISE at UCR Institute
> 
> Amit Roy-Chowdhury
> Professor, ECE Department
> co-Director, RAISE at UCR Institute