Date/Time
Date(s) - 12/02/2020
12:00 PM - 1:00 PM
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Speaker:
Dr. Farinaz Koushanfar, University of California San Diego
Abstract:
This talk highlights the crucial role of hardware and advances in computing architecture in supporting the recent progresses in the field. I outline the main technologies and mixed computing models. I particularly center my talk on the recent progress in synthesis of Garbled Circuits that provide a leap in scalable realization of machine learning on encrypted data.
Speaker Bio:
Farinaz Koushanfar is a professor and Henry Booker Faculty Scholar in the Electrical and Computer Engineering (ECE) department at University of California San Diego (UCSD), where she directs the Adaptive Computing and Embedded Systems (ACES) Lab. She is the co-founder and co-director of the UCSD Center for Machine-Integrated Computing & Security (MICS) which launched in 2018. Before joining UCSD, she was a professor in the ECE department at William Marsh Rice University which she joined as an assistant professor 9 years earlier. Prof. Koushanfar received her Ph.D. in Electrical Engineering and Computer Science as well as her M.A. in Statistics from UC Berkeley in December 2005. Her research addresses several aspects of efficient computing and embedded systems, with a focus on hardware and system security, real-time/energy-efficient big data analytics under resource constraints, design automation and synthesis for emerging applications, as well as practical privacy-preserving computing.
Professor Koushanfar serves as an associate partner of the Intel Collaborative Research Institute for Secure Computing to aid developing solutions for the next generation of embedded secure devices. Dr. Koushanfar is a fellow of the Kavli Foundation Frontiers of the National Academy of Engineering. She has received a number of awards and honors for her research, mentorship, teaching, and outreach activities including the Presidential Early Career Award for Scientists and Engineers (PECASE) from President Obama, the ACM SIGDA Outstanding New Faculty Award, Cisco IoT Security Grand Challenge Award, MIT Technology Review TR-35 2008 (World’s top 35 innovators under 35), as well as Young Faculty/CAREER Awards from NSF, DARPA, ONR and ARO.

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