I'm a Ph.D. candidate at Department of Computer Science and Engineering, Indian Institute of Technology, Madras, advised by Prof. Chester Rebeiro. My research interests are broadly in the area of secure systems design, with a specific focus on micro-architecture level solutions against various attacks against cryptographic implementations, such as cache side-channel attacks. I'm also interested in exploring the applications of AI to help in building a more secure framework. I was one among the 12 candidates across the world to present my research at Lenovo AI Innovation Challenge Event at SuperComputing Conference 2017, Denver, Colorado. I was also one of the three-member team from IIT Madras that won the First Place in the CSAW Embedded Security Challenge 2016. We designed a secure implementation of an OpenRISC processor to detect and prevent buffer overflow attacks.

My research interests lie in field-programmable technology and electronic design automation, with increasing focus on the hardware security vulnerabilities of today’s heterogeneous and intelligent computing systems.

I am a third-year PhD student in Electrical and Computer Engineering interested in new and niche logic families for high-performance computing purposes, including temporal-based encoding (Race Logic), and exploring superconducting architectural and circuit design trade-offs between area, energy, and tolerance to variability. I have co-authored several papers at ISCA and ASPLOS on novel logic paradigms applied to superconducting technologies. I am currently pursuing several projects, including new neuromorphic gates in superconducting electronics, and new fan-out techniques for the same technology. I have a diverse background ranging from instrumentation and testing in High-Energy Physics to embedded development in the health and wellness industry, and I received my undergraduate degree in Electrical Engineering from University of California, Santa Cruz. If you would like to hear about my research, please reach out!

I am a PhD candidate in the Computer Science Department at Georgia Institute of Technology advised by Professor Hadi Esmaeilzadeh. I received my Bachelors (2012) in Electrical Engineering from Indian Institute of Technology Ropar, India where I was honored with the President of India Gold medal for my outstanding academic performance. Subsequently, I completed my Masters (2014) from the University of Texas, at Austin in Electrical and Computer Engineering. I joined my PhD studies in Fall 2014 and since have been a part of Alternate Computing Technologies lab. My research interests include computer architecture, microarchitecture design, and developing alternative technologies for efficient computing. I am continuously working towards designing full stack solutions and template-based architectures for accelerating Machine Learning and Deep Learning algorithms on an FPGA. Besides my primary research-area of computer architecture, I have also worked at the intersection of machine learning, hardware design, programming languages and databases. In my free time, I like to spend time oil painting, cooking, and reading novels.