Post-Doctoral Scholars

Wei Fang received a bachelor’s degree from the Department of Automation at Tsinghua University in 2019. Then, he received a Ph.D. degree in the School of Computer Science at Peking University in 2024, supervised by Prof. Yonghong Tian. He was the Research Assistant Professor at the School of Electronic and Computer Engineering, Peking University from July 2024 to Feb 2025. He joined the Intelligent Computing Lab as a Postdoc, mentored by Prof. Priya Panda from March 2025. His research interests are neuromorphic computing, learning, and the network structure of Spiking Neural Networks. [E-mail: wei.fang@yale.edu]

Graduate Students

Abhiroop Bhattacharjee  received his B.E. degree in Electrical Engineering from Birla Institute of Technology and Science Pilani, India in 2020. He hasworked as a Research Intern in the Institute of Materials in Electrical Engineering-I at RWTH Aachen University, Germany and as a Guest Researcher in the Chair for Processor Design, TU Dresden, Germany. He joined the Intelligent Computing Lab at Yale University in 2020 and is currently pursuing a Ph.D. degree under the supervision of Prof. Priyadarshini Panda. His current research interests include exploring In-memory Computation techniques for Neuromorphic circuits and adversarial robustness. [E-mail: abhiroop.bhattacharjee@yale.edu]
 
Arkapravo Ghosh received his B.Tech. degree in Electrical Engineering with an Institute Silver Medal from Indian Institute of Technology Kharagpur, India in 2024. He has previously worked as a Visiting Scholar at Purdue University, USA and as an Undergraduate Research Fellow at the Space Applications Centre (SAC) of Indian Space Research Organisation (ISRO). He joined the Intelligent Computing Lab at Yale University in 2024 and is currently pursuing a Ph.D. degree under the supervision of Prof. Priyadarshini Panda. His current research interests include exploring hardware-algorithm-co-design for energy efficient and resource-constrained deep learning systems, targeting edge-AI applications. [E-mail: arkapravo.ghosh@yale.edu]
 
Yuhang Li received his B.Eng degree in computer science from the University of Electronic Science and Technology of China (UESTC). He also worked as a research assistant at the National University of Singapore, SenseTime Research, and UESTC previously. Currently, he is pursuing his PhD degree at Yale University advised by Professor Priyadarshini Panda. He also did Applied Scientist internship at Amazon Lab126 (Sunnyvale, CA).  His research interests mainly focus on efficient deep learning systems, including network quantization, pruning, spiking, and efficient AI-Generated Content. His goal is to build trustworthy and deployable systems & algorithms for deep learning applications. Outside the lab, he likes lifting, cooking as well as driving.  [E-mail: yuhang.li@yale.edu]
 
Abhishek Moitra received his B.E. degree in Electrical Engineering from Birla Institute of Technology and Science Goa, India in 2019. He is pursuing his Ph.D. in the Intelligent Computing Lab. Previously, he worked on designing FPGA based hardware accelerators for Signal and Image processing applications in Indian Institute of Science, Bangalore. His current research interests involve hardware-algorithm co-design with CMOS and emerging devices for efficient and robust Deep Learning. Outside research, he loves to cook, sketch, and learn music.  [E-mail: abhishek.moitra@yale.edu]
 
 
Yeshwanth Venkatesha received his B.Tech. degree in Computer Science and Engineering from Indian Institute of Technology, Kharagpur, India in 2017. Prior to joining Ph.D. program at Yale, he has worked as a software engineer and data scientist at Samsung R&D institue & Walmart Labs, respectively, in Banglaore, India. He is fascinated by AI applications deployed in embedded devices like smartphones, self-serving cars, and automated drones. His research focuses on designing algorithms to enable efficient processing of state of the art AI solutions on resource-constrained devices. His current work at the Intelligent Computing Lab explores the feasibility of using novel neuromorphic learning paradigms in the context of Distributed Learning. Outside of the Lab, Yeshwanth enjoys reading novels, playing cricket and chess, and currently attempting to learn Spanish.  [E-mail: yeshwanth.venkatesha@yale.edu]
 
Shiting (Ginny) Xiao received her B.S. in Computer Science from the Chinese University of Hong Kong, Shenzhen, and M.S. degree in Robotics from University of Pennsylvania, GRASP Laboratory. Starting from September 2023, she is pursuing her Ph.D. in the Intelligent Computing Lab advised by Prof. Priyadarshini Panda. Prior to starting at Yale, she worked with Prof. Kostas Daniilidis on multi-view 3D tracking and event-based cameras. Her research interests include computer vision, machine learning, neuromorphic computing, and event-based cameras. Outside of work, she likes music, reading, and badminton.
 
Ruokai Yin is a Ph.D. student in the Department of Electrical Engineering at Yale University, advised by Prof. Priya Panda. His research interests lie in designing high-performance computer architectures for neural networks. Prior to joining Yale, he received his BS-Electrical Engineering degree from the University of Wisconsin-Madison. He worked with Prof. Joshua San Miguel on computer architectures for stochastic computing. He loves soccer, dogs, and Murakami Haruki. He has also been an amateur drummer since high school.  [E-mail: ruokai.yin@yale.edu]
 
 
 

Donghyun Lee received his B.E. degree in Mechanical Engineering from Yonsei University, South Korea and M.S. degree in Precision Instrument from Tsinghua University, China. Currently, he is working as a research associate in the Intelligent Computing Lab at Yale advised by Prof. Priya Panda. Prior to joining Yale, he worked as an AI researcher at Dalchaebi and Ulsan National Institute of Science and Technology (UNIST), South Korea. His research interests center around neuromorphic computing, spiking neural network, efficient deep learning strategies such as quantization, knowledge distillation, and tensor decomposition. Outside of the research, he enjoys playing soccer and tennis. [E-mail: donghyun.lee@yale.edu]

Undergraduate Students

Nicole Tian I’m Nicole, a sophomore in Pauli Murray College and prospective Computer Science and History double major from San Jose. I’m interested in artificial intelligence with a focus on designing energy efficient spiking neural networks and using computer vision for semantic segmentation. Outside of research, I’m also involved with the Dwight Hall Socially Responsible Investment Fund and The Advocates for Human Rights as I’m also interested in understanding tech policy. In my free time, I like drawing, sculpture, and playing the drums and piano.

Visiting Students/Interns

PAST: Karina Vasquez (STEM Exchange, UTEC, Peru),  Lakshya Bhatnagar (B.Tech (Thesis), IIT Delhi), Shrey Agrawal (B.Tech (Thesis), IIT Roorkee => Nvidia), Prateek Mukherjee (B.Tech (Thesis), BITS Pilani)

Our Lab’s Alums

Youngeun Kim [Ph.D 2024] (Research Scientist, Meta Reality Labs)

Shuo Li [Post-Doc 2024] (Assistant Professor, Fudan University)

Russell Yang [Yale Undergraduate 2024] (Graduate Studies, Harvard Law School)

Josh Chough [Yale Undergraduate 2024] (Lucid Motors)

John Wahlig [Yale Undergraduate 2024] (Graduate Studies)

Tamar Geller [Yale Undergraduate 2023] (Google)

Rachel Sterneck [Yale Undergraduate 2022] (Google DeepMind)

Timothy Foldy-Porto [Yale Undergraduate 2020] (Berkshire Gray)