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Professor

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Assistant Professor
Youngdae Kim
youngdae.kim@unist.ac.kr 제5공학관(112동) 301-3호
Faculty Research Profile
Data Mining/Web&IR Data Mining/Web&IR
Machine Learning Machine Learning
AI+X AI+X
AI System AI System
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Accelerated Optimization Laboratory

Career History

  • 2007 : B.S. Computer Science and Engineering, B.S. Mathematics, POSTECH
  • 2009: M.S. Computer Science and Engineering, POSTECH
  • 2017 : Ph.D. Computer Sciences, University of Wisconsin-Madison
  • 2018.02 ~ 2018.08 : Postdoctoral Researcher, University of Wisconsin-Madison
  • 2018.08 ~ 2022.04 : Postdoctoral Appointee, Argonne National Laboratory
  • 2022.06 ~ 2024.06: Research Associate, ExxonMobil
  • 2024.07 ~ Present : Assistant Professor, UNIST

Intro

Accelerated Optimization (ACCOL) Laboratory aims at developing GPU-accelerated and AI-enhanced mathematical optimization and equilibrium algorithms with applications in energy system, bioinformatics, and industrial process scheduling. Specific research topics include GPU-accelerated distributed large-scale optimization, integration of optimization with machine learning, and low carbon energy equilibrium solutions.

Research Field

Mathematical Optimization, GPU-accelerated/AI-Enhanced Optimization, Machine Learning, Energy System Optimization