Our People

Anand directs the Integrated Systems Laboratory in the School of Electrical and Computer Engineering at Purdue. His group's research spans various topics in VLSI and Computer Engineering, including System-on-chip design, domain-specific architecture, computing with nanoscale post-CMOS devices, and heterogeneous parallel computing. He is currently Chair of the VLSI area in the School of ECE. Before joining Purdue, Anand was a Senior Researcher at NEC Laboratories America and held a visiting position at the Department of Electrical Engineering, Princeton University.

Elijah received his B.S. in Computer Engineering from Purdue University in 2022, where he is currently seeking a Ph.D under the guidance of Prof. Anand Raghunathan. His research interests include hardware/software co-design for efficient machine learning with post-CMOS devices and in-memory-computing. His intern work has included embedded controls at Western Digital (2021) and 3nm ROM verification at Broadcom (2022). Elijah was awarded the Andrews Fellowship in 2022.

Reena received the B.Tech. and M.Tech. degrees in Electrical Engineering from Indian Institute of Technology, Madras, India in 2016. From 2016 to 2017, she was a Digital Design Engineer at Texas Instruments. She is currently pursuing a Ph.D. under the guidance of Prof. Anand Raghunathan. Her current research interests include approximate computing methods for efficient deep neural network inference, and efficient architecture design for in-memory computing with emerging memory devices.

Aradhana Mohan Parvathy received her B.Tech. in Electrical and Electronics Engineering with Honors from the National Institute of Technology Tiruchirappalli, India, in 2020. She was a recipient of the DAAD-WISE scholarship to work as an intern at RWTH Aachen during the summer of 2019. She is currently pursuing a Ph.D. under the guidance of Prof. Anand Raghunathan. Her research interest lies in the domain of approximate computing for efficient deep learning inference. In her leisure time, she likes to sing.

Amrit Nagarajan is a PhD student in the School of Electrical and Computer Engineering, Purdue University, working as a Research Assistant under the supervision of Prof. Anand Raghunathan. He received his B.E degree from Anna University, Chennai, India, in 2018. His research interests include approximate computing and hardware-aware software optimizations for efficient deep learning inference

Sujay Pandit received his B.Tech. in Electronics and Communication Engineering from Shiv Nadar University (SNU) in 2018. After graduation, he worked at Omnipresent Robot Technologies on the lunar rover navigation module for ISRO's Chandrayaan-2 mission. He then spent a couple of years working with the Shakti Group at IIT-Madras on the design of a RISCV-based out-of-order execution microprocessor. Currently, he is pursuing his PhD thesis under the guidance of Prof. Anand Raghunathan. His research interests include power estimation for SoCs and high-performance CPU/GPU design.

Sourjya Roy received the bachelor’s degree (Hons.) from Purdue University, West Lafayette, IN, USA, in 2018, where he is working toward the Ph.D. degree at the School of Electrical and Computer Engineering under the guidance of Prof. Anand Raghunathan. He is a part of the Centre for Brain Inspired Computing (CBRIC) center at Purdue. He participated in the Summer Undergraduate Research Fellowship (SURF) at Purdue University in 2016. His current research interests include circuit and architecture codesign for complementary metal–oxide–semiconductor (CMOS), post-CMOS devices, in-memory computation, energy-efficient hardware for machine learning (ML) workloads, and algorithms to support the underlying energy-efficient hardware. Mr. Roy was a recipient of the Charles W Brown ECE Scholarship and the Ross Fellowship from Purdue University in 2018 and 2019. He was also the finalist in the Qualcomm Innovation Fellowship in 2020.

Surya received his B.Tech. degree in Computer Science and Engineering from Indian Institute of Technology, Madras in 2020. He is currently pursuing his Ph.D. degree at School of Electrical and Computer Engineering, Purdue University with the guidance of Prof. Anand Raghunathan. His research interests include hardware/software co-design for efficient computation. He was awarded the Ross Fellowship from Purdue University in 2020.

Shrihari Sridharan received his B.S. in Electrical and Computer Engineering from Purdue University in 2018. He was a recipient of the Summer Undergraduate Research Fellowship (SURF) to work as a research intern at NRL in 2016. During that summer, he worked on reinforcement learning schemes in neuromorphic computing. Currently, he is pursuing his PhD under the guidance of Prof. Kaushik Roy and Prof. Anand Raghunathan as part of the Center for Brain-inspired Computing(C-BRIC). His current research interests include designing efficient algorithms and architectures for deep learning and cognitive systems in general. He loves to sing and play tennis in his leisure time.