■ Education
2020, Ph.D., Industrial Engineering and Management Sciences, Northwestern University
2015, M.S., Industrial Engineering and Management Sciences, Northwestern University
2012, M.S., Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST)
2010, B.S., Industrial Engineering, Ajou University
■ Experience
2022-present, Assistant Professor, School of Business Administration, Hanyang University (ERICA)
2020-2022, Postdoc, Mathematics and Computer Science, Argonne National Lab
2011-2013, Staff, Quality Division, Hyundai Mobis
■ Research Interest
Machine learning, deep learning, reinforcement learning, big data, artificial intelligence, optimization
■ Publication
- An inverse classification framework with limited budget and maximum number of perturbed samples, Expert Systems with Applications, 2023
- Application of machine learning and artificial intelligence to extend EFIT equilibrium reconstruction, Plasma Physics and Controlled Fusion, 2022
- Customized Monte Carlo Tree Search for LLVM/Polly’s Composable Loop Optimization Transformation, PMBS, 2021
- A Unified Defect Pattern Analysis of Wafer Maps Using Density-Based Clustering, IEEE ACCESS, 2021
- Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images, IEEE BigData, 2020
- Improved Classification Based on Deep Belief Networks, ICANN, 2020
- Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics, CNSM, 2019
■ Project
2023-2026, PI, Explainable and interpretable AI systems based on deep learning for classification, National Research Foundation of Korea (NRF)
2021-2022, Postdoc, EFIT-AI: ML/AI Assisted Tokamak Equilibrium Reconstruction, DOE FES Project
2020-2022, Postdoc, PROTEAS-TUNE: Programming Toolchain for Emerging Architectures and Systems, DOE ASCR Exascale Computing Project
2020, Ph.D., Industrial Engineering and Management Sciences, Northwestern University
2015, M.S., Industrial Engineering and Management Sciences, Northwestern University
2012, M.S., Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST)
2010, B.S., Industrial Engineering, Ajou University
■ Experience
2022-present, Assistant Professor, School of Business Administration, Hanyang University (ERICA)
2020-2022, Postdoc, Mathematics and Computer Science, Argonne National Lab
2011-2013, Staff, Quality Division, Hyundai Mobis
■ Research Interest
Machine learning, deep learning, reinforcement learning, big data, artificial intelligence, optimization
■ Publication
- An inverse classification framework with limited budget and maximum number of perturbed samples, Expert Systems with Applications, 2023
- Application of machine learning and artificial intelligence to extend EFIT equilibrium reconstruction, Plasma Physics and Controlled Fusion, 2022
- Customized Monte Carlo Tree Search for LLVM/Polly’s Composable Loop Optimization Transformation, PMBS, 2021
- A Unified Defect Pattern Analysis of Wafer Maps Using Density-Based Clustering, IEEE ACCESS, 2021
- Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images, IEEE BigData, 2020
- Improved Classification Based on Deep Belief Networks, ICANN, 2020
- Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics, CNSM, 2019
■ Project
2023-2026, PI, Explainable and interpretable AI systems based on deep learning for classification, National Research Foundation of Korea (NRF)
2021-2022, Postdoc, EFIT-AI: ML/AI Assisted Tokamak Equilibrium Reconstruction, DOE FES Project
2020-2022, Postdoc, PROTEAS-TUNE: Programming Toolchain for Emerging Architectures and Systems, DOE ASCR Exascale Computing Project