Postdoctoral Researcher at the POSTECH Institute of Artificial Intelligence (PIAI), Pohang University of Science and Technology (POSTECH), Korea, working with Professor Seokhyeong Kang in the CAD & SoC Design Lab.

Research interests include AI-driven electronic design automation (EDA), physical design optimization, and deep learning hardware.

☎️ Contact Information

📧 [email protected]

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🔗 Google Scholar

👨🏻‍💻 Work Experiences

| Postdoctoral Researcher | 2026.03 - Present | POSTECH Institute of Artificial Intelligence (PIAI) Advisor: Prof. Seokhyeong Kang | | --- | --- | --- | | Graduate Student Researcher | 2021.02 - 2026.02 | CAD & SoC Design Lab in POSTECH Advisor: Prof. Seokhyeong Kang | | Research Intern | 2023.06 - 2023.08 | Samsung Advanced Institute of Technology (SAIT) ML TU, AIDA Team | | Undergraduate Student Researcher | 2020.02 - 2021.02 | CAD & SoC Design Lab in POSTECH Advisor: Prof. Seokhyeong Kang |

📚 Education

| M.S.-Ph.D. in Electrical Engineering | 2021.02 - 2026.02 | Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea Advisor: Prof. Seokhyeong Kang Dissertation: A Study on AI-Driven EDA for Efficient VLSI Physical Design: Leveraging Prediction, Generation, and Exploration | | --- | --- | --- | | B.S. in Electrical Engineering | 2017.02 - 2021.02 | Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea |

📝 Publications

Conference

  1. Jongho Yoon, Jeonghyun Choi, Jaemin Seo and Seokhyeong Kang, “Phase-Aware Monte Carlo Tree Search with LLM-Guided Proposal for Multi-Objective Physical Design Tuning,” in 2027 32nd Asia and South Pacific Design Automation Conference (ASP-DAC), Accepted.
  2. Jaemin Seo, Myungjun Kook, Jongho Yoon, and Seokhyeong Kang, “Differentiable Multi-corner Bus Skew Synchronization via Neural Surrogate Model,” in 2026 45th ACM/IEEE International Conference on Computer-Aided Design (ICCAD), Accepted.
  3. Jongho Yoon, Jinsung Jeon and Seokhyeong Kang, “Physics-Guided Geometric Diffusion for Macro Placement Generation,” in 2026 35th International Joint Conference on Artificial Intelligence (IJCAI), 2026.
  4. Jongho Yoon, Jinsung Jeon and Seokhyeong Kang, “Late Breaking Results: A Geometric Diffusion Model for Macro Placement Generation,” in 2025 62th ACM/IEEE Design Automation Conference (DAC), 2025.
  5. Jongho Yoon, Jakang Lee, Donggyu Kim, Junseok Hur, and Seokhyeong Kang, “ParaFormer: A Hybrid Graph Neural Network and Transformer Approach for Pre-Routing Parasitic RC Prediction,” in 2025 30th Asia and South Pacific Design Automation Conference (ASP-DAC), 2025.