Speakers

Vivienne Sze is an associate professor in MIT’s Department of Electrical Engineering and Computer Science. Her group works on computing systems that enable energy-efficient machine learning, computer vision, and video compression/processing for a wide range of applications, including autonomous navigation, digital health, and the internet of things. She is widely recognized for her leading work in these areas and has received many awards, including faculty awards from Google, Facebook, and Qualcomm, the Symposium on VLSI Circuits Best Student Paper Award, the IEEE Custom Integrated Circuits Conference Outstanding Invited Paper Award, and the IEEE Micro Top Picks Award. As a member of the Joint Collaborative Team on Video Coding, she received the Primetime Engineering Emmy Award for the development of the High-Efficiency Video Coding video compression standard. She is a co-author of the book entitled “Efficient Processing of Deep Neural Networks”.

Website

Phil Gibbons is a Professor in the Computer Science Department and the Electrical & Computer Engineering Department at Carnegie Mellon University. He received his Ph.D. in Computer Science from the University of California at Berkeley in 1989. Gibbons was a researcher in the Mathematical Sciences Research Center at AT&T Bell Laboratories (1990-1996), the Information Sciences Research Center at Lucent Bell Laboratories (1996-2001), and the Intel Research Pittsburgh Lablet (2001-2011). He was Co-PI/Co-Director for the $15M Intel Science and Technology Center for Cloud Computing (2011-2015). Gibbons' research areas include big data, parallel computing, databases, cloud computing, sensor networks, distributed systems and computer architecture. His publications span theory and systems, across a broad range of computer science and engineering (e.g., conference papers in ATC, ESA, EuroSys, HPCA, IPDPS, ISCA, MICRO, NeurIPS, NSDI, OSDI, PACT, SoCC, SODA, SOSP and SPAA since 2015).

Website