Principles of Autonomy for Active Perception by Robot Swarms

10:00am - 11:15am
ZOOM: https://hkust.zoom.us/j/92419032799 Meeting ID: 924 1903 2799 Passcode: 789757

Integrated circuits (IC) are the foundation stones of the modern information society. However, as the design complexity keeps increasing, the chip design cost is skyrocketing. Semiconductor companies are in increasingly greater demand for experienced man-power and stressed with unprecedented longer turnaround time. Therefore, there is a compelling need for essential improvements in design efficiency through new methodologies and design automation techniques. In this talk, I will present intelligent chip design and implementation techniques based on machine learning (ML) methods, whose major strength is to explore highly complex correlations based on prior data. These techniques cover various chip-design objectives, including power, timing, interconnect, IR drop, routability, and design flow quality. Instead of spending tremendous engineering effort in developing the customized ML model, I propose to automate the development procedure. More importantly, I target benefiting the whole chip life cycle with a unified ML framework for both chip design and runtime. This involves automatically designing a low-cost monitoring module as part of the circuit RTL. These ideas will be illustrated in detail with my recent works on circuit routability and power. Finally, I will share my concrete future research plans.

講者/ 表演者:
Professor Fumin Zhang
Professor, School of Electrical and Computer Engineering, Georgia Institute of Technology.

Dr. Fumin ZHANG is Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He received a PhD degree in 2004 from the University of Maryland (College Park) in Electrical Engineering, and held a postdoctoral position in Princeton University from 2004 to 2007. His research interests include mobile sensor networks, maritime robotics, control systems, and theoretical foundations for cyber-physical systems. He received the NSF CAREER Award in September 2009 and the ONR Young Investigator Program Award in April 2010. He is currently serving as the co-chair for the IEEE RAS Technical Committee on Marine Robotics, associate editors for IEEE Journal of Oceanic Engineering, Robotics and Automation Letters, IEEE Transactions on Automatic Control, and IEEE Transactions on Control of Networked Systems.

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