Youngdae Kim
Youngdae Kim
Ulsan National Institute of Science and Technology (UNIST) · Industrial Engineering
Professor
Prof. 김영대
Professor's page · publicationsAbout
김영대 교수 연구실(가속화된 최적화 연구실, Accelerated Optimization Laboratory)은 UNIST 산업공학과 소속으로, GPU와 AI를 활용해 수리 최적화 알고리즘의 계산 속도를 높이는 연구를 수행한다. GPU-가속화된 분산 대규모 최적화, 최적화와 머신러닝의 통합, 저탄소 에너지 평형해 등을 다룬다. 에너지 시스템·생물정보학·산업 공정 스케줄링 등에 응용한다.
Research keywords
Other labs in this department
- Dong-Sup Kim
Dong Sub Kim
Data driven smart factory, manufacturing innovation, industrial safety
- Seoung Bum Kim
Sungil Kim
System Monitoring & Anomaly Detection, Sequential Learning, Neural Differential Equations, Uncertainty Quantification
- Hyungho Na
Reinforcement Learning, Multi-Agent Systems, AI-based Decision-Making, Autonomous Systems and Operations
- Saerom Park
Security-enhanced Machine Learning, Privacy-preserving Machine Learning, Fairness-aware Machine Learning
- Yongjae Lee
Financial Engineering, AI for Finance, Financial Planning, Household and Personal Finance
- Dong-Young Lim
Dong Young Lim
Nonconvex optimization, stochastic optimization, diffusion-based algorithms, physics-informed neural networks, neural differential equations, AI finance, insurance, chemistry, life sciences