Hello! Welcome to my personal website!
My name is Peyton Chandarana. I am currently pursuing a Ph.D. in Computer Engineering at the University of South Carolina, under the supervision of Dr. Ramtin Zand.
I completed my B.S.E. in Computer Engineering at UofSC in the spring of 2019 and began my graduate studies as a master's student for the first two years. During those two years, I had the opportunity to contribute to various projects ranging from an Alexa Medication Reminder for the UofSC Nursing School, as well as work on some protein analysis on COVID-19. I then transitioned to working on my Ph.D. under the supervision of Dr. Ramtin Zand, receiving my M.S. in Computer Engineering concurrently in the Summer of 2025.
I have had the opportunity to serve as a teaching assistant four times now in the CSE department at UofSC for the Introduction to Architecture (CSCE 513), Fundamentals of Linux/UNIX (CSCE 215), and Algorithmic Design II (CSCE 146) courses. Between 2022 and 2023, I was appointed the instructor of record for the CSCE 215: UNIX/Linux Fundamentals course.
In the summer of 2025, I interned at the Savannah River National Laboratory (SRNL) as an ASPIRE Graduate Intern, where I contributed to a project that aimed to leverage beyond-CMOS paradigms to accelerate machine learning workloads for efficiently monitoring and sensing constrained environments.
My current research primarily focuses on neuromorphic computing, hardware design, and edge computing for performing machine learning in constrained and mission-critical environments.
Please don't hesitate to reach out to me if you have any questions or would like to ask about future collaborations.