CV
Basics
| Name | Hyerim Bae |
| Label | Professor |
| hrbae@pusan.ac.kr | |
| Phone | +82-51-510-2733 |
| Url | https://baelab.pusan.ac.kr |
| Summary | Professor of Industrial Engineering and Dean of the Graduate School of Data Science at Pusan National University, leading the Big Data Analytics and Engineering Lab. |
Work
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2025.09 - Now -
2025.06 - Now -
2025.06 - Now -
2024.03 - Now μμ₯ / Dean
λΆμ°λνκ΅ λ°μ΄ν°μ¬μ΄μΈμ€μ λ¬Έλνμ / Pusan National University, Graduate School of Data Science
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2023.01 - 2023.12 νκ³Όμ₯ / Department Head
λΆμ°λνκ΅ μ°μ 곡νκ³Ό / Pusan National University, Department of Industrial Engineering
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2022.03 - Now μμ / Committee Member
λΆμ°κ΄μμ κ³ΌνκΈ°μ μ§ν₯μμν κΈ°νμ λ΅μμν / Pusan Science and Technology Promotion Committee
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2022.03 - Now μ°κ΅¬μμ₯ / Director
λΆμ°λνκ΅ μ§λ₯λ¬Όλ₯λΉ λ°μ΄ν°μ°κ΅¬μ / Pusan National University, Intelligent Logistics Big Data Research Institute
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2019.01 - 2020.12 μΌν°μ₯ / Director
λΆμ°λνκ΅ κ³΅νκ΅μ‘νμ μΌν° / Pusan National University, Engineering Education Innovation Center
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2019.01 - 2020.12 λΆμμ₯ / Associate Director
λΆμ°λνκ΅ κ΅μ‘μΈμ¦μ / Pusan National University, Office of Educational Accreditation
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2018.01 - Now νΈμ§μμ / Editorial Board Member
λνμ°μ 곡νν / Korean Institute of Industrial Engineers
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2017.01 - 2018.12 μ λ¬Έμμ / Expert Committee Member
λΆμ°κ³ΌνκΈ°μ κΈ°ννκ°μ / Busan Institute of Science and Technology Evaluation and Planning
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2016.01 - Now λΆνμ₯, νΈμ§μμ / Vice President & Editorial Board Member
νκ΅λΉ λ°μ΄ν°νν / Korea Big Data Society
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2016.01 - Now -
2016.01 - Now -
2016.01 - 2020.12 μμ / Committee Member
λΆμ°κ΄μμ μ 보νμμν / Busan Metropolitan City Informatization Committee
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2016.01 - Now -
2014.01 - 2015.12 νΈμ§μμ / Editorial Board Member
κ²½μ κ²½μμ λ΅μ°κ΅¬μ / Economic Management Strategy Research Institute
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2011.01 - 2012.12 κΈ°μ μ¬μ λΆμ₯ / Technology Business Division Manager
λΆμ°λνκ΅ μ°ννλ ₯λ¨ / Pusan National University, Industry-University Cooperation Foundation
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2010.01 - Now -
2007.01 - 2011.12 -
2005.01 - 2010.12 κ΅μ‘μ§μμ€μ₯ / Education Support Division Manager
μ°¨μΈλλ¬Όλ₯ITμ°κ΅¬μ¬μ λ¨ / Next Generation Logistics IT Research Center
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2004.03 - Now κ΅μ / Professor
λΆμ°λνκ΅ μ°μ 곡νκ³Ό / Pusan National University, Department of Industrial Engineering
Education
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1998.03 - 2002.09 Seoul, South Korea
PhD
Seoul National University, Seoul, South Korea
Industrial Engineering
- e-Business λ¬Έμκ΄λ¦¬: μν¬νλ‘μ° νλ‘μΈμ€λ₯Ό μν λΉμ¦λμ€ λ¬Έμ λ³κ²½κ΄λ¦¬, 곡νλ°μ¬νμλ Όλ¬Έ, μμΈλνκ΅, 2002.08
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1996.03 - 1998.03 Seoul, South Korea
Master
Seoul National University, Seoul, South Korea
Industrial Engineering
- λμ μν¬νλ‘μ° κ΄λ¦¬κΈ°μ κ°λ°, 곡νμμ¬νμλ Όλ¬Έ, μμΈλνκ΅, 1998.02
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1989.03 - 1996.02 Seoul, South Korea
Publications
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2023.09.26 Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proposed a novel neural architecture called Correlation Recurrent Unit (CRU) that performs time-series decomposition within neural cells and learns correlations between decomposition components, achieving over 10% improvement in long- and short-term predictive performance.
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2008.05.15 Genetic algorithms for job shop scheduling problems with alternative routings
International Journal of Production Research
Developed mixed-integer linear programming (MILP) formulations and genetic algorithms for job shop scheduling problems with alternative machine routings, addressing four performance measures: mean flow time, makespan, maximum lateness, and total absolute deviation from due dates.
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2004.08.31 Automatic control of workflow processes using ECA rules
IEEE transactions on knowledge and data engineering
Proposed a novel approach for automatic execution of business processes using event-condition-action (ECA) rules with active database capabilities, introducing block-based process classification and hierarchical tree transformation methods.
Languages
| Korean | |
| Native speaker |
| English | |
| Fluent |
Interests
| Big Data Analytics | |
| Data Mining | |
| Machine Learning | |
| Predictive Analytics | |
| Statistical Analysis |
| Artificial Intelligence | |
| Deep Learning | |
| Neural Networks | |
| Time Series Forecasting | |
| LLMs |
| Process Mining | |
| Business Process Analysis | |
| Workflow Optimization | |
| Process Discovery | |
| Performance Analysis |
| Reinforcement Learning | |
| Decision Making | |
| Optimization | |
| Dynamic Programming |
| Industrial Engineering | |
| Operations Research | |
| Supply Chain Management | |
| Quality Control | |
| Manufacturing Systems |
| Port Logistics & SCM | |
| Port Logistics | |
| Supply Chain Optimization | |
| Transportation Systems | |
| Warehouse Management |