Shin Youngsu Lab
Shin Youngsu Lab
KAIST · Electrical Engineering
This lab is recruiting graduate students
We are recruiting M.S. and Ph.D. students! Please contact Prof. Shin if you are interested in joining the lab.
Check the professor and homepage links below for how to reach out.
Professor
Prof. 신영수
Professor's page · publicationsAbout
KAIST 전기및전자공학부 신영수 교수의 디자인 테크놀로지 연구실(Design Technology Lab, DT Lab)이다. 전자설계자동화(EDA)를 핵심 주제로 AI-EDA, 리소그래피(반도체 노광 최적화), 저전력 설계, 인메모리 연산(Processing-in-Memory) 등을 연구한다. M.S./Ph.D. 학생을 모집하고 있다.
Research keywords
Selected publications
- Sizing and placement of power-gating headers in backside PDN architecturesProc. Int'l Conf. on Computer-Aided Design (ICCAD) · 2026
- Integrated curvilinear OPC and SRAF optimization through reinforcement learningProc. SPIE Photomask Technology · 2025
- Verilog code generation of hierarchical design using LLMsProc. Int'l Symp. on Machine Learning for CAD (MLCAD) · 2025
- Fast and accurate curvilinear OPC with ML-guided curve correctionProc. Int'l SoC Design Conf. (ISOCC) · 2024
- Fast optical proximity correction using graph convolutional network with autoencodersIEEE Transactions on Semiconductor Manufacturing, vol. 36, no. 4 · 2023
- Power distribution network optimization using HLA-GCN for routability enhancementProc. Int'l Conf. on Computer-Aided Design (ICCAD) · 2023
Other labs in this department
- Kim Dongjoon LabRecruiting
Dongjun Kim
Computer architecture, interconnection networks, mobile systems, hardware security
- Kim Moonchul LabRecruiting
Munchurl Kim
Video coding, pattern recognition, visual communications
- Kim Minjun LabRecruiting
Min Jun Kim
Physical robot interaction, collaborative robots, aerial manipulation
- Kim Seongmin LabRecruiting
Song Min Kim
Wireless systems and networks, mobile computing, IoT
- Kim Yonghoon LabRecruiting
Yong-Hoon Kim
Atomic-scale device simulations, high-performance/machine-learning scientific computing
- Kim Junmo LabRecruiting
Junmo Kim
Statistical signal processing, image processing, computer vision, information theory