2020, Northwestern University, Industrial Engineering and Management Sciences, Ph.D.
2012, 한국과학기술원(KAIST), 산업공학 석사
2010, 아주대학교, 산업공학 학사

2026-현재, 서울과학기술대학교, 경영학과, 조교수
2026, 기획재정부, 준정부기관 경영평가단, 평가위원
2022-2026, 한양대학교(에리카캠퍼스), 경영학부, 조교수
2020-2022, Argonne National Lab, MCS, Postdoc
2018, Nokia, Bell Labs, Summer Intern
2011-2013, 현대모비스, 품질본부, 사원

Machine learning, deep learning, artificial intelligence, operations management, business analytics

생산전략과공급사슬관리

- Application of machine learning to predict employment attainment among individuals with intellectual and developmental disabilities, Research in Developmental Disabilities, 2026
- ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales, CCPE, 2024
- EFIT-Prime: Probabilistic and physics-constrained reduced-order neural network model for equilibrium reconstruction in DIII-D, Physics of Plasmas, 2024
- Machine Learning Based Surrogate Models for Knock Prediction in Syngas (H2/CO) Added SI Engine Combustion, Journal of Energy & Climate Change, 2024
- Transfer-learning-based Autotuning using Gaussian Copula, ACM ICS, 2023
- 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 Transformations, 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 Big Data, 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

2026-2029, 심층학습 모델을 이용한 전이학습 기반 HPC 애플리케이션 자동 튜닝 프레임워크 개발, 한국연구재단 기초연구사업 신진연구, 연구책임자
2025-2026, HYU-KITECH 공동교육기반 공동연구, 한국생산기술연구원, 참여연구자(RIAM 플랫폼 데이터분석 체계 개발파트 책임)
2023-2026, 심층학습에 기반한 설명 및 해석 가능한 인공지능 분류 시스템 개발, 한국연구재단 기초연구사업 기본연구, 연구책임자
2021-2022, EFIT-AI: ML/AI Assisted Tokamak Equilibrium Reconstruction, DOE FES Project, Postdoc
2020-2022, PROTEAS-TUNE: Programming Toolchain for Emerging Architectures and Systems, DOE ASCR Exascale Computing Project, Postdoc
2020-2021, Circuit AI, Laboratory Directed Research and Development program at Argonne National Laboratory, Postdoc