Rachel Sterneck is an undergraduate student at Yale College, class of 2022, studying computer science and psychology. She is intrigued by the technological and social challenges surrounding artificial intelligence and cybersecurity. In the Intelligent Computing Lab, she is currently developing new techniques for adversarial image detection that strengthen machine learning models against attacks. In her free time, Rachel enjoys doing improv comedy, learning new languages, reading, and snowboarding.
Tamar Geller is a sophomore at Yale University studying Electrical Engineering and Computer Science. She enjoys approaching problems from an algorithm-hardware co-design approach and has been recently involved in designing a DMX lighting system for Harkness Tower on Yale campus. Her current work in the Intelligent Computing Lab focuses on using neuromorphic computing methods to develop novel algorithms to optimize energy efficiency and accuracy for Deep Learning. Outside of the lab, Tamar enjoys running long distance, oil painting, and baking.
Abhiroop Bhattacharjee received his B.E. degree in Electrical Engineering from Birla Institute of Technology and Science Pilani, India in 2020. He has worked 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 in the circuits. [E-mail: firstname.lastname@example.org]
Youngeun Kim received his B.S. degree in Electronic Engineering from Sogang University, in 2018 and M.S. degree in Electrical Engineering from Korea Advanced Institute of Science and Technology (KAIST), South Korea, in 2020. Starting from September 2020, he is pursuing his Ph.D. in the Intelligent Computing Lab. Prior to joining Yale, he pursued an AI research internship at Kakao Corporation & SK-Tbrain, South Korea. His research interests include novel algorithms for neuromorphic computing, computer vision, algorithm-hardware co-design, and emerging devices for deep learning. Outside of the lab, he likes working out, boxing and running. [E-mail: email@example.com]
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. His research interests mainly focus on efficient deep learning systems, including network quantization, pruning, spiking. His goal is to build trustworthy and deployable systems & algorithms for deep learning applications. Outside the lab, he likes watching movies, cooking as well as driving. [E-mail: firstname.lastname@example.org]
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: email@example.com]
Hyoungseob Park received his Bachelor’s degree in Electronic Engineering from Sungkyunkwan University, in 2019 and M.S. degree in Electrical Engineering from Korea Advanced Institute of Science and Technology (KAIST), South Korea, in 2021. He is pursuing his Ph.D. in the Intelligent Computing Lab, starting September 2021. Prior to joining Yale, he pursued a research internship at Kakao Corporation, and CNIR_IBS, South Korea. His research interests include neuromorphic computing algorithms, and bio-plausible computer vision. Outside of the lab, Hyoungseob enjoys weight lifting, running, and playing piano. [E-mail: firstname.lastname@example.org]
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: email@example.com]
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: firstname.lastname@example.org]
Timothy Foldy-Porto (Undergraduate, YC 2020), Karina Vasquez (Visiting, UTEC, Peru), Josh Chough (Undergraduate, YC 2023), Lakshya Bhatnagar (Visiting, IIT Delhi).