Autonomous Source Search for UAVs Using Gaussian Mixture Model-Based Infotaxis: Algorithm and Flight Experiments. - Minkyu Park; Seulbi An; Jaemin Seo; Hyondong Oh (IEEE Trans. Aerosp. Electron. Syst., 2021)

Multimodal Prediction of Tearing Instabilities in a Tokamak. - Jaemin Seo; Rory Conlin; Andrew Rothstein; SangKyeun Kim; Joseph Abbate; Azarakhsh Jalalvand; Egemen Kolemen (IJCNN, 2023)

Collision-free active sensing for maximum seeking of unknown environment fields with Gaussian processes. - Jaemin Seo; Geun Sik Bae; Hyondong Oh (Expert Syst. Appl., 2023)

Unveiling the Black-Box: Leveraging Explainable AI for FPGA Design Space Optimization. - Jaemin Seo; Sejin Park 001; Seokhyeong Kang (DATE, 2024)

Improving Timing & Power Trade-off in Post-place Optimization Using Multi-agent Reinforcement Learning. - Jaemin Seo; Sejin Park 001; Seokhyeong Kang (ICCAD, 2024)

Diag2Diag: Multimodal super-resolution diagnostics for physics discovery with application to fusion. - Azarakhsh Jalalvand; Max Curie; SangKyeun Kim; Peter Steiner; Jaemin Seo; Qiming Hu; Andrew Oakleigh Nelson; Egemen Kolemen (CoRR, 2024)

Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning. - Jinsu Kim; Jaemin Seo (CoRR, 2024)

Avoiding fusion plasma tearing instability with deep reinforcement learning. - Jaemin Seo; SangKyeun Kim; Azarakhsh Jalalvand; Rory Conlin; Andrew Rothstein; Joseph Abbate; Keith Erickson; Josiah Wai; Ricardo Shousha; Egemen Kolemen (Nat., 2024)

Leveraging Machine Learning Techniques for Traditional EDA Workflow Enhancement. - Jinoh Cho; Jaekyung Im; Jaeseung Lee; Kyungjun Min; Seonghyeon Park; Jaemin Seo; Jongho Yoon 001; Seokhyeong Kang (ASP-DAC, 2025)

Kalman filter-based distributed Gaussian process for unknown scalar field estimation in wireless sensor networks. - Jaemin Seo; Geun Sik Bae; Hyondong Oh (Expert Syst. Appl., 2025)

Gas Source Localization in Unknown Indoor Environments Using Dual-Mode Information-Theoretic Search. - Seunghwan Kim; Jaemin Seo; Hongro Jang; Changseung Kim; Murim Kim; Juhyun Pyo; Hyondong Oh (IEEE Robotics Autom. Lett., 2025)

PINT: Physics-Informed Neural Time Series Models with Applications to Long-term Inference on WeatherBench 2m-Temperature Data. - Keon Vin Park; Jisu Kim; Jaemin Seo (CoRR, 2025)