Tsu-Jae King Liu received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from Stanford University. From 1992 to 1996 she was a Member of Research Staff at the Xerox Palo Alto Research Center (Palo Alto, CA). In August 1996 she joined the faculty of the University of California, Berkeley, where she is currently the TSMC Distinguished Professor in Microelectronics, and Chair of the Department of Electrical Engineering and Computer Sciences. Dr. Liu's research awards include the DARPA Significant Technical Achievement Award (2000) for development of the FinFET, the IEEE Kiyo Tomiyasu Award (2010) for contributions to nanoscale MOS transistors, memory devices, and MEMs devices, the Intel Outstanding Researcher in Nanotechnology Award (2012), and the Semiconductor Industry Association Outstanding Research Award (2014). She has authored or co-authored close to 500 publications and holds over 90 U.S. patents, and is a Fellow of the IEEE. Her research activities are presently in advanced materials, process technology and devices for energy-efficient electronics.
Ravi Todi received his M.S. degree in Electrical and Mechanical Engineering from University of Central Florida in 2004 and 2005 respectively, and his doctoral degree in Electrical Engineering in 2007. His graduate research work was focused on gate stack engineering, with emphasis on binary metal alloys as gate electrode and on high mobility Ge channel devices. In 2007 he started working as Advisory Engineer/Scientist at Semiconductor Research and Development Center at IBM Microelectronics Division focusing on high performance eDRAM integration on 45nm SOI logic platform. Starting in 2010 Ravi was appointed the lead Engineer for 22nm SOI eDRAM development. For his many contributions to the success of eDRAM program at IBM, Ravi was awarded IBM’s Outstanding Technical Achievement Award in 2011. Ravi Joined Qualcomm in 2012, responsible for 20nm technology and product development as part of Qualcomm’s foundry engineering team. Ravi is also responsible for early learning on 16/14 nm FinFet technology nodes. Ravi had authored or co-authored over 50 publications, has several issues US patents and over 25 pending disclosures.