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김성범 고려대 산업경영공학과 교수


관심분야  특징 추출 및 선택 문제를 위한 머신러닝 알고리즘

Degree   박사



2005, Ph.D. in Industrial & Systems Engineering, Georgia Institute of Technology
2004, M.S. in Statistics, Georgia Institute of Technology
2001, M.S. in Industrial & Systems Engineering, Georgia Institute of Technology
1999, B.S. in Industrial Engineering, Hanyang University

​웹사이트 주소 :

주요 연구분야

머신러닝 및 인공지능 알고리즘(Machine Learning & AI Algorithms)
반도체 및 디스플레이 공정 품질분석(Quality Analytics for Semiconductor and Display Processes)
기계 상태 모니터링 및 고장 진단(Machine Health Monitoring and Fault Diagnosis)
자연어처리(Natural Language Processing)
강화학습과 딥러닝을 활용한 게임 인공지능(Game Artificial Intelligence (Deep Learning, Reinforcement Learning)

​대표 연구실적

   1. Do, H., Cheon, M. S., & Kim, S. B. (2020). Graph Structured Sparse Subset Selection. Information      Sciences, 518, 71-94.

   2. Lee, S., & Kim, S. B. (2019). Parallel Simulated Annealing with a Greedy Algorithm for Bayesian Network Structure Learning. IEEE Transactions on Knowledge and Data Engineering, 32(6), 1157-1166.

   3. Kim, Y., Do, H., & Kim, S. B. (2020). Outer-Points shaver: Robust graph-based clustering via node cutting. Pattern Recognition, 97, 107001.

   4. Sung, Y. Y., & Kim, S. B. (2020). Topical keyphrase extraction with hierarchical semantic networks. Decision Support Systems, 128, 113163.

   5. Park, Y. J., Cho, Y. S., & Kim, S. B. (2019). Multi-agent reinforcement learning with approximate model learning for competitive games. PloS one, 14(9), e0222215.

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