Akanksha Jain received her PhD in Computer Science from The University of Texas at Austin in December 2016 and is currently a Researcher at Arm Research. Her research interests are in computer architecture, with a particular focus on the memory system and on using machine learning techniques to improve the design of memory system optimizations. Her work has been recognized with a Best Paper Nomination at MICRO 2013, a Top Picks Honorable Mention at ISCA 2016, and the first place award at the Cache Replacement Championship in 2017.

I am an incoming Assistant Professor in the ECE department of Princeton University. Currently, I am a Postdoctoral Research Scholar at Stanford Medicine with Prof. Euan Ashley. I completed my Ph.D. in the Electrical Engineering department at Stanford University where I was advised by Prof. Mark Horowitz. I conduct research at the intersection of computer architecture and systems, and, computational genomics for clinical and evolutionary applications.

Previously, I received a Dual Degree (B. Tech. and M. Tech.) in Electrical Engineering from the Indian Institute of Technology, Bombay in 2017 along with the Akshay Dhoke Memorial Award.

I am a trained classical dancer with a Master's in Dance in Bharat Natyam from the Art Society, Mumbai.

Sonal is a assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Raipur. Prior NIT Raipur, she was postdoctoral fellow at Indian Institute of Technology (IIT) Guwahati, India from March 2018-2020. She received her M.Tech and PhD degree from the Malaviya National Institute of Technology (MNIT) Jaipur, India. Her PhD dissertation was on Exploration of Efficient Manycore Multiple Networks-on-Chip Architectures. Her research interests lie in improving energy efficiency via power-gating for multiple networks-on-chip (NoC) architectures and self-learning NoC architectures. Her thesis work awarded travel grant in DATE 2019. She is the recipient of the best paper award by TCVLSI in IEEE-SES 2018. Her PhD work is published in reputed conferences VDAT 2015, VLSI Design 2016, DAC 2019 and journals. She has received multiple recognitions, including PhD Fellowship by the Ministry of Human Resource and Development (MHRD) Govt. of India and Institute Postdoctoral Fellowship by Indian Institute of Technology Guwahati.

Rujia Wang joined Illinois Institute of Technology in Fall 2018. She earned her Ph.D. and M.S degree from Electrical and Computer Engineering Department at the University of Pittsburgh and her B.E. from Zhejiang University. Her research experience spans across multiple areas in computer engineering, including novel memory architecture, secure computing architecture, system reliability, and high-performance computing, and her work has been published in top conferences in computer architecture area.