School of Engineering
Showing 1-15 of 15 Results
-
Asir Intisar Khan
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
Masters Student in Electrical Engineering, admitted Spring 2021
Grader for EE223, Electrical Engineering - Student ServicesCurrent Research and Scholarly InterestsMy research focuses on the thermal engineering, fabrication, and characterization of novel phase change heterostructures (PCH) for high density, low-power data storage both on the flexible and non-flexible platform. My research further expands into the fabrication and characterization of PCH for thermoelectrics and low-power solid-state flexible reflective display. I am also working on the real-time characterization of fast temperature sensors using atomically thin two-dimensional materials.
-
Sungjin Kim
Ph.D. Student in Electrical Engineering, admitted Autumn 2016
BioSung-Jin received his B.S. and M.S. in Electrical Engineering from KAIST in 2008 and 2010 respectively, and he is currently a Ph.D. student in Electrical Engineering at Stanford University. Prior to starting the PhD program, he worked for Samsung Electonics from 2010 to 2016. He is interested in synthesizable analog circuits and automated design flow for high speed serial links(SerDes). He is currently working for the Open Source Phy project.
-
Taeyoung Kong
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
BioTaeyoung is a Ph.D. student at Stanford University working with prof. Mark Horowitz in VLSI group and he is currently working within the AHA Agile Hardware Project. He is interested in hardware accelerator for deep learning / image processing and hardware design methodology. Taeyoung received a B.S. in Electrical and Computer Engineering from Seoul National University in 2017, and M.S. in Electrical Engineering from Stanford University in 2020.
-
Kalhan Koul
Ph.D. Student in Electrical Engineering, admitted Autumn 2019
Masters Student in Electrical Engineering, admitted Spring 2021BioKalhan Koul is an EE Ph.D. student at Stanford University supervised by Prof. Priyanka Raina. Previously, he was a Digital Design Intern at Micron and Silicon Labs. He received a B.S. in Electrical Engineering Honors and a B.A. in Plan II Honors (Liberal Arts) from The University of Texas in 2018. His current research focuses on automatically mapping applications, ranging from machine learning to image processing, onto reconfigurable logic devices (CGRAs). Previously, he helped design and tape-out a DNN accelerator utilizing resistive memory (RRAM) for low-energy inference and training. This chip exploited the low read cost and non-volatility of RRAM to store the weights of a DNN model, providing a low energy solution for edge and IoT devices.
