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.

Anubha Gogia is a Postdoctoral Researcher in the School of Electrical and Computer Engineering at Purdue University, where she works under the joint supervision of Professor Kaushik Roy and Professor Anand Raghunathan with an Institute for Physical AI (IPAI) Fellowship. She received her Ph.D. in Electronics and Communication Engineering from the Indian Institute of Technology Roorkee (IIT Roorkee), India, in 2025. She also holds an M.Tech. in VLSI Design from Thapar Institute of Engineering and Technology, India, awarded in 2020, and a B.Tech. in Electronics and Communication Engineering from Punjabi University, India, awarded in 2018. Her research interests include spintronic devices, compute-in-memory architectures, energy-efficient AI hardware, and on-chip learning. She specializes in the design of low-power, high-performance neuromorphic and AI hardware based on emerging non-volatile memory technologies, particularly spin-orbit torque magnetic random-access memory (SOT-MRAM). She has also served as a visiting researcher at TU Delft in the Netherlands under the SPARC program, supported by the Ministry of Education, Government of India. Her research contributions span device-circuit-architecture co-design for scalable, non-volatile, and energy-efficient hardware platforms for next-generation edge-AI and neuromorphic computing systems.

Jayanth Balasubramanian received his B.Tech and M.Tech in Electrical Engineering from Indian Institute of Technology Madras in 2025. He is currently a PhD student at Purdue University advised by Prof. Anand Raghunathan. His research focuses on the intersection of ML and EDA, with a focus on power estimation for SoCs.

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.

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.

Abinand Nallathambi is a PhD student working as a Research Assistant with Prof. Anand Raghunathan. He received his M.S. from Indian Institute of Technology Madras. His current research focuses on in-memory computing and co-design for machine learning hardware.

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.

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.

Mukulita received a B.Tech. in Electronics and Electrical Communication Engineering from Indian Institute of Technology, Kharagpur, India, in 2025. She was a recipient of the IUSSTF-Viterbi scholarship to work as an intern at University of Southern California during the summer of 2024. Mukulita is currently pursuing a Ph.D. under the guidance of Prof. Anand Raghunathan. Her research interest lies in the domain of Compute-In-Memory and Algorithm-Hardware Co-design for Machine Learning Hardware Acceleration.

Geetha received her B.Tech. in Electrical Engineering from the Indian Institute of Technology Madras in 2022. She then worked at NVIDIA for two years on the RTL design and verification of low-power features for GPU SoCs. She is currently pursuing a Ph.D. in the Elmore Family School of Electrical and Computer Engineering at Purdue University under the guidance of Prof. Anand Raghunathan. Her research focuses on AI for electronic design automation (EDA), with an emphasis on the design and optimization of heterogeneous computing systems.