Hong Chul Nam

I am a Master’s student at ETH Zurich majoring in electrical engineering. I am a visiting researcher at Anima’s Lab at Caltech. Previously, I worked in Alsemy, CSEM, Learning & Adaptive Systems Group under Prof. Andreas Krause at ETH Zurich and SAFARI Group under Prof. Onur Mutlu at ETH Zurich.

My current research focuses on neural PDE solvers and operator learning with applications in solving partial differential equations, modeling semiconductor devices and weather forecasting, with examples in using stochastic methods in combination with deep learning to solve high-dimensional Poisson equations as well as developing an unsupervised, function-level anomaly detection method using neural operators for detecting erronous transistor device simulations. While interested in proposing new machine learning algorithms, I am also fascinated by scientific applications, with experience in modeling and optimizing transistor devices’ reliability, modeling transistors’ thermal behaviors, improving weather forecasting models using function-level self-supervised learning, and accelerating page table translation.

Luckily, I have had wide exposure to diverse areas, including (chronological order) neuroscience, robotics, chip design, computer architecture, semiconductor physics, and deep learning. Due to the wide spectrum, I am generally interested in multidisciplinary areas such as computational electronics + deep learning, Systems4AI, and AI4EDA.