Research Seminars @ Illinois

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Tailored for undergraduate researchers, this calendar is a curated list of research seminars at the University of Illinois. Explore the diverse world of research and expand your knowledge through engaging sessions designed to inspire and enlighten.

To have your events added or removed from this calendar, please contact OUR at ugresearch@illinois.edu

Enabling Performant and Trustworthy Learning-enabled CPS-loT Systems

Event Type
Seminar/Symposium
Sponsor
Huan Zhang, Ph.D.
Location
1002 Grainger Auditorium ECEB
Date
Mar 7, 2024   4:00 - 5:00 pm  
Speaker
Mani Srivastava, Ph.D. - UCLA
Contact
Huan Zhang, Ph.D.
Views
153
Originating Calendar
Illinois ECE Distinguished Colloquium Series

Abstract:

The previously discrete technologies of IoT and AI have now entered a tight, virtuous embrace. IoT allows sensing and actuation in our physical, social, and urban spaces with unimaginable ubiquity. AI allows sophisticated inferences and decisions to be made algorithmically using deep neural networks, even from unstructured and high-dimensional data, with uncanny performance. Together, they seek to perform sophisticated perception-cognition-communication-action loops in diverse applications.  However, designers of learning-enabled IoT systems face the challenge of extremely resource-constrained edge platforms operating in uncertain environments while assuring performance and trustworthiness. Moreover, in many applications, the systems go beyond taking actions based on rich inferences about the world state to perform long-term reasoning about complex events and obey the underlying physics, rules, and constraints. Based on our experience in designing such systems in applications including mHealth, ocean animal health, agriculture robotics, and military, this talk explores meeting these challenges through a combination of (i) neurosymbolic architectures that allow the incorporation of physics awareness and human knowledge while enhancing user trust, (ii) automatic platform-aware architecture search and code generation, and (iii) techniques to efficiently adapt to the deployment environment. 


Bio:

Mani Srivastava is a Distinguished Professor and Vice Chair at UCLA’s ECE Department with a joint appointment in the CS Department. His research is broadly in human-cyber-physical and IoT systems that are learning-enabled, resource-constrained, and trustworthy. It spans problems across the entire spectrum of applications, architectures, algorithms, and technologies in the context of systems and applications for mHealth, sustainable buildings, smart environments, etc. He is a Fellow of the ACM and the IEEE. 

https://www.ee.ucla.edu/mani-srivastava/


link for robots only