Dr. Deming Chen
UNIVERSITY OF ILLINOIS
Title of the speech:
FPGA-based Smart Devices and Platforms for the AI Revolution
Many envision that AI (artificial intelligence) will usher in the next iteration of technology revolution, where humans and machines will work side-by-side to augment, enhance, or accelerate our ability to analyze, learn, create, observe, and think. There are successful stories emerging fast already, such as IBM Watson, Microsoft HoloLens, and Google AlphaGo. One essential component to enable the new AI revolution is IoT (Internet of Things). AI can learn from the rich IoT data, reason from models, and most importantly interact with us to perform complex tasks (ranging from healthcare to education to financial services) better than either humans or machines can do by themselves. Meanwhile, high-performance computing would be of paramount importance to help achieve the grand vision of the AI revolution.
In this talk, Dr. Chen will share his vision on machine learning, reconfigurable computing, and smart IoT devices. He will also present his recent work on extremely fast software and hardware modeling and the automated software/hardware co-design for accelerating AI workloads.
Dr. Deming Chen obtained his BS in computer science from University of Pittsburgh, Pennsylvania in 1995, and his MS and PhD in computer science from University of California at Los Angeles in 2001 and 2005 respectively. He worked as a software engineer between 1995-1999 and 2001-2002.
He joined the Department of Electrical and Computer Engineering (ECE) of University of Illinois at Urbana-Champaign (UIUC) in 2005 and has been a full professor in the same department since 2015. He is a research professor in the Coordinated Science Laboratory and an affiliate professor in the CS department. His current research interests include system-level and high-level synthesis, computational genomics, GPU and reconfigurable computing, and hardware security. He has given ~90 invited talks sharing these research results worldwide.
Dr. Chen is a technical committee member for a series of top conferences and symposia on EDA, FPGA, low-power design, and VLSI systems design. He also served as Program or General Chair, TPC Track Chair, Session Chair, Panelist, Panel Organizer, or Moderator for many of these conferences. He is an associated editor for several IEEE and ACM journals. He received the NSF CAREER Award in 2008, and six Best Paper Awards for ASPDAC’09, SASP’09, FCCM’11, SAAHPC’11, CODES+ISSS’13, and ICCAD’15. He received the ACM SIGDA Outstanding New Faculty Award in 2010, and IBM Faculty Award in 2014 and 2015. He is the Donald Biggar Willett Faculty Scholar. He is included in the List of Teachers Ranked as Excellent in 2008.
He was involved in two startup companies previously, which were both acquired. In 2016, he co-founded a new startup, Inspirit IoT, Inc., for design and synthesis for machine learning targeting the IoT industry. Inspirit IoT recently received an NSF SBIR (Small Business Innovation Research) Award from the US government. Recently, a team consisting of students of his research lab and employees of Inspirit IoT, Inc has won the First Place of the IEEE/ACM DAC’17 International Hardware Design Contest in the IoT domain.