Anup Das
Assistant Professor, Drexel University


Where are all the Sub 1W chipsets, needed for AI at the Edge ?


Dr. Anup Das is an Assistant Professor at Drexel University. Between 2004 and 2011, he held positions in semiconductor industries like STMicrolelectronics and LSI Logic (now Broadcom), where he was involved in several stages of IC design: from RTL to GDS. He received a Ph.D. in Embedded Systems from National University of Singapore in 2014. Following his Ph.D., he was a post-doctoral fellow at the University of Southampton, UK and afterwards a researcher at IMEC, Netherlands, leading key projects related to neuromorphic computing. He received the NSF/DARPA real-time machine learning (RTML) award in 2019 for developing “operating systems” like framework for neuromorphic hardware. He is a recipient of the NSF CAREER award in 2020 to address the dependability aspect of neuromorphic computing both from software and hardware perspective. His other research interests include in- and near-memory computing with non-volatile memories. He is a senior member of the IEEE.

Please note that in-person conferences (i.e. AI Hardware Expo on May 5th-6th 2020, AI Enterprise Expo on August 25th-26th 2020 and AI Robotics Expo on November 12th-13th 2020 at SEMI, Milpitas, Silicon Valley) are converted into this virtual AI Expo series. 

Attendee Resources: Live Zoom Webinars, Community Rooms for each week/theme, Presentations and Recordings (after live sessions)