 Ph.D., Seoul National University, Department of Industrial Engineering, Korea, 2005.8  M.S., Seoul National University, Department of Industrial Engineering, Korea, 2001.2  B.S, Seoul National University, Department of Industrial Engineering, Korea, 1999.2

 Professor, Kyung Hee University, Korea, 2018 – present  Dean of Information Service and Strategy, 2021 – present  Adjunct Professor, Dept. of Aritificial Intelligence (Graduate), 2022 – present  Adjunct Professor, Dept. of Big Data Analytics (Graduate), 2020 – present  Adjunct Professor, Dept. of Software Convergence, 2017 – present  Associate Professor, Kyung Hee University, Korea, 2013 – 2018  Assistant Professor, Kyung Hee University, Korea, 2007 – 2013  Senior Researcher, Seoul u-Computing Innovation Center, 2006 – 2007  Visiting Scholar, Georgia Institute of Technology, US, 2013 – 2014  Visiting Scholar, Eindhoven University of Technology, Netherlands, 2005 – 2006

 "Rule-based Visualization of Faulty Process Conditions in the Die-casting Manufacturing", Journal of Intelligent Manufacturing, 2023. (SCIE, IF=7.1)  "Effectiveness of Multi-Task Deep Learning Framework for EEG-based Emotion and Context Recognition", Expert Systems With Applications, vol. 227, Oct 2023, 120348. (SCIE, IF=8.6, 8%)  "Designing an XAI Interface for BCI Experts: A Contextual Design for Pragmatic Explanation Interface Based on Domain Knowledge in a Specific Context", International Journal of Human-Computer Studies, vol. 174, Jun 2023, 103009. (SSCI, IF=4.9)  "Convolutional Autoencoder-based SOH Estimation of Lithium-ion Batteries Using Electrochemical Impedance Spectroscopy", Journal of Energy Storage, Vol. 60, Apr. 2023, 106680. (SCIE, IF=8.9)  "RuleCOSI+: Rule Extraction for Interpreting Classification Tree Ensembles", Information Fusion, Vol. 89, Jan. 2023, 355-381. (SCIE, IF=17.6, 1%(1/109))  "Estimating Effective Connectivity in Alzheimer’s Disease Progression: a Dynamic Causal Modeling Study", Frontiers in Human Neuroscience, 16:1060936, Dec. 2022. (SCIE, IF=3.5).  "Simple Averaging of Direct and Recursive Forecasts via Partial Pooling Using Machine Learning", International Journal of Forecasting, Vol. 38, No. 4, Oct. 2022, pp. 1386-1399. (SSCI, IF=7.0, 6%) - 1st rank in Kaggle  "Traffic Flow Speed Prediction in Overhead Transport Systems for Semiconductor Fab Using Dense-UNet", Processes, 10(8), Aug. 2022, 1580. (SCIE, IF=3.4).  "Human-Computer Interface, Deep Learning and Explainable AI", ISE Magazine, Vol. 54, No. 6, Jun. 2022, 34-39.  "Special Issue on 'Application of Big Data Analysis and Advanced Analytics in Sustainable Production Process'", Processes, 10(4), Mar 2022, 670. (SCIE, IF=3.4).  "Evaluation of One-Class Classifiers for Fault Detection: Mahalanobis Classifiers and the Mahalanobis-Taguchi System", Processes, Vol. 9, No. 8, Aug. 2021, 1450 (SCIE, IF=2.8).  "Rule-based Explanations Based on Ensemble Machine Learning for Detecting Sink Mark Defects in the Injection Moulding Process", Journal of Manufacturing Systems, Vol. 60, Jul. 2021, pp. 392-405 (SCIE, IF=8.6, 1%(1/84)).  "Data-driven Simulation for General Purpose Multibody Dynamics Using Deep Neural Networks", Multibody System Dynamics, Vol. 51, No. 4, Apr. 2021, pp. 419-454 (SCIE, IF=3.1).  "PVHybNet: A Hybrid Framework for Predicting Photovoltaic Power Generation Using Both Weather Forecast and Observation Data", IET Renewable Power Generation, 2020. (SCIE, IF=3.6)  "PRANAS: A Process Analytics System Using Process Warehouse and Cube", Applied Sciences, Vol. 10, No. 10, May 2020, 3521. (SCIE, IF=2.2)  "SAX-ARM: Deviated Event Pattern Discovery from Multivariate Time-Series Using Symbolic Aggregate Approximation and Association Rule Mining", Expert Systems with Applications, Vol. 141, Mar 2020, 112950. (SCIE, IF=4.3, 8%)

Industrial Artificial Intelligence Smart Factory Big Data Analytics Machine Learning/Deep Learning Process Mining Business Process Management