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]
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]
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: 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]
Rachel Sterneck is an undergraduate student at Yale College, class of 2021, 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.
Josh Chough s an undergraduate student at Yale College studying Electrical Engineering and Computer Science. He is interested in how the intersection between design, artificial intelligence, and embedded systems can be used to build impactful emerging technologies. In the Intelligent Computing Lab, he is currently exploring novel neuromorphic techniques for enabling sophisticated computer vision algorithms on resource-constrained devices. When he’s not training models, Josh enjoys dancing, helping build CourseTable, taking portraits, and trying random new things.
Timothy Foldy-Porto (Undergraduate, YC 2020), Karina Vasquez (Visiting, UTEC, Peru)