https://ece.ncsu.edu/seminar/how-memory-powers-intelligence-from-cognition-to-ai-computing-systems/

As artificial intelligence (AI) continues to scale in power and influence, modern models increasingly mirror the complexities of human cognition. Yet, a widening gap exists between the principles of biological memory and the constraints of contemporary computing systems. This talk, How Memory Powers Intelligence: From Cognition to AI Computing Systems, explores this intersection through the...

Join on Zoom Webinar at go.ncsu.edu/ece-seminar

Speaker: Helen Li
Distinguished Professor
Duke University

Hai (Helen) Li is the Marie Foote Reel E’46 Distinguished Professor and Department Chair of the Electrical and Computer Engineering Department at Duke University. She received her B.S. and M.S. degrees from Tsinghua University, and her Ph.D. degree from Purdue University. Her research interests include neuromorphic circuits and systems for brain-inspired computing, machine learning acceleration and trustworthy AI, conventional and emerging memory design and architecture, and software and hardware co-design. Dr. Li served/serves as the Associate Editor-in-Chief and Associate Editor for multiple IEEE and ACM journals. She was the General Chair or Technical Program Chair of multiple IEEE/ACM conferences and the Technical Program Committee member of over 30 international conference series. Dr. Li has received many awards, including the IEEE Edward J. McCluskey Technical Achievement Award, Ten Year Retrospective Influential Paper Award from ICCAD, TUM-IAS Hans Fischer Fellowship from Germany, ELATE Fellowship, nine best paper awards, and another ten best paper nominations from IEEE/ACM. Dr. Li is a fellow of IEEE, ACM, and NAI.

https://ece.ncsu.edu/seminar/i-know-that-you-know-that-i-know-enabling-embodied-cognition-capabilities-in-collaborative-robotic-systems/

In this talk I will introduce our recent developments and results on Embodied and Epistemic reasoning and planning for collaborative autonomy applications. I will show how thery-of-mind reasoning combined with cognitive science and control and motion planning methods enable robots to become more autonomous and collaborative even in the absence of direct communications between the...

Join on Zoom Webinar at go.ncsu.edu/ece-seminar

Speaker: Nicola Bezzo
Associate Professor
University of Virginia

"Nicola Bezzo is an Associate Professor in the Department of Electrical and Computer Engineering(ECE ) with courtesy appointments in Systems and Information Engineering (SIE) and Computer Science (CS) at the University of Virginia (UVA). Prior to UVA he was a Postdoctoral researcher at the University of Pennsylvania in the Precise Center working on research related to assured and resilient autonomy. He obtained his PhD in Electrical and Computer Engineering from the University of New Mexico working on multi-robot systems motion planning and control under communication uncertainties.
At UVA he leads the Autonomous Mobile Robots Lab (AMR Lab) and he is also part and a founding member of the CPS-focused LINK Lab. His research interests span: multi-robot and heterogeneous robotic systems coordination, safe and agile motion planning and control of mobile robots under uncertainties, embodied and cognitive reasoning in robotics, and resilient and assured autonomy.
He is the recipient of the 2025 DARPA Young Faculty Award, the 2022 Amazon Faculty Research Award, and the Gold Medal from the Polytechnic University of Milan. His work has received multiple Best Paper Awards and recognitions at top venues including RAM, ICCPS, SIEDS. His research is supported by DARPA, NSF, ONR, and AFRL. His industry collaborators and sponsors include Northrop Grumman, Amazon, Boeing, CoStar, MITRE, Booz Allen Hamilton, and Leidos. He is an IEEE Senior Member, an associate editor for the IEEE Transactions on Robotics, and he has served on the editorial board and as an organizers for several conferences like ICRA, IROS, ACC, ICCPS."