Career Profile
I am a second-year Ph.D. student in the CSE department at UCSD. I have research interests in the overall computer architecture area and systems for deep learning. My advisor is Tajana Rosing leading the System Energy Efficiency (SEE) Lab. Now I am studying federated learning with mobile devices for large deep neural network (DNN) models and fully homomorphic encryption (FHE). Additionally, I studied hyperdimensional computing and processing-in-memory (PIM) architecture, and submitted a paper about that. I did an internship at Samsung Semiconductor US in San Diego during this summer (2023). My manager was Mostafa El-Khamy, and my task was evaluating open-source projects related to federated learning and on-device training on mobile devices. I had industrial experience at Chips&Media, Inc. for more than 3 years as a deep learning algorithm engineer. I was in charge of developing deep learning algorithms for super-resolution (SR) HW IPs. I devised many creative ideas for the HW IPs, and my team’s products were licensed by multiple corporations. Also, I had research experience in the Computer Architecture and Parallel Processing Lab at Seoul National University. I developed optimized deep learning algorithms for multi-camera environments and combined conventional codecs with deep learning algorithms.