I am a 3rd year PhD student in the Department of Computer Science and Engineering at SUNY Buffalo. I work with Dr. Ramalingam Sridhar. My research interests include hardware security, memory systems and in-memory computing. I have completed my Masters in Electrical Engineering from SUNY Buffalo and Bachelors in Electronics and Communication Engineering from Karunya Institute of Technology and Sciences.

Martha Kim is an Associate Professor of Computer Science at Columbia University where she leads the ARCADE Lab. Kim's research interests are in computer architecture, parallel programming, compilers, and low-power computing. Her work has explored low-cost chip manufacturing systems, reconfigurable communication networks, and fine-grained parallel application profiling techniques. Her current research focuses on hardware and software techniques to improve the usability of hardware accelerators as well as data-centric accelerator design. Kim holds a PhD in Computer Science and Engineering from the University of Washington and a bachelors in Computer Science from Harvard University. She is the recipient of the 2013 Rodriguez Family Award, the 2015 Edward and Carole Kim Faculty Involvement Award, a 2013 NSF CAREER award, and the 2016 Anita Borg Early Career Award.

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.

Tamara Silbergleit Lehman is a 5th year PhD candidate at Duke university. Her thesis work focuses on reducing overheads of secure memory. More broadly, her research interests lie on the intersection of computer architecture and security. She is also interested in memory systems, simulation methodologies and emerging technologies. Tamara has a Bachelor's degree from University of Florida in Industrial Engineering and a Masters degree in Computer Engineering from Duke University. Her latest publication on understanding metadata access patterns in secure memory at ISPASS 2018 won the best paper award. Her earlier work on developing a safe speculation mechanism for secure memory published in MICRO 2016 got an honorable mention in Micro Top Picks.