본 교육연구팀 참여대학원생이 국내대학에 전임교원으로 임용되었습니다.
지능데이터시스템 연구실(이기천 교수) 졸업생 이건석 박사이며 대학원 및 교육연구팀에서의 주요활동내역은 아래와 같습니다.
​
 

 
  이건석 前 참여대학원생
 2017
 한양대학교 산업공학과 석사과정 입학 (지능데이터시스템 연구실, 지도교수 이기천 교수)​


 2019-2020
 박사과정 및 BK21 공유와 협력에 기반한 스마트 시스템 교육연구팀 참여대학원생으로 참여 시작


 2021-2023.02
 BK21 우수연구성과(SCI(E) 학술지게재) 인센티브 2회 선정
 BK21 국제화경비 지원으로 참가한 SEDSI 2023에서 Best Paper Award​ 수상
 한양대 Teaching Fellow 선정되어 학부생 대상 강의
 (강의제목 Deep Learning with Machine Learning and its research)


 2023.03-2024.02
 Rutgers University​ 박사후연구원 재직


 2024.03
 단국대학교 (죽전캠퍼스) 인공지능융합학과 전임교원​(조교수) 임용


 
 
* 주요 연구성과
 
(1) Published Journal Papers
◦ Geonseok Lee, Pilwon Woo, Kichun Lee*. Data Generation using Geometrical Edge Probability for One-class Support Vector Machines, Expert Systems With Applications, 229, 120387, 2023. (IF=8.5)
◦ Geonseok Lee, Youngju Yoon, Kichun Lee*. Anomaly Detection Using an Ensemble of Multi-Point LSTMs, Entropy, 25(11), 1480, 2023. (IF=2.7)
◦ Geonseok Lee, Eunchan Sim, Youngju Yoon, Kichun Lee*. Probabilistic Orthogonal-signal-corrected Principal Component Analysis, Knowledge-Based Systems, 268, 110473, 2023. (IF=8.8)
◦​ Kichun Lee, Sunghun Hwangbo, Dongwook Yang, Geonseok Lee*. Compression of Deep Learning Models through Global Weight Pruning using Alternating Direction Method of Multipliers, Interna-
tional Journal of Computational Intelligence Systems, 16(1), 17, 2023. (IF=2.9)
◦ Insung Um, Geonseok Lee, Kichun Lee*. Adaptive boosting for ordinal target variables using neural networks, Statistical Analysis and Data Mining, 16(3), 257-271, 2022. (IF=1.3)
◦ Changwon Ok, Geonseok Lee, Kichun Lee*. An Informative Langauge Encoding by Variational Autoencoders Using Transformer, Applied Sciences, 12(16), 7968 (in the section of Application of 
Machine Learning in Text Mining), 2022. (IF=2.7)
◦ Hyungjin Park, Geonseok Lee, Kichun Lee*. Dual recurrent Neural Networks using Partial Lin-ear Dependence for Multivariate Time Series, Expert Systems with Applications, 208, 118205, 2022. 
(IF=8.5)
◦ Geonseok Lee, Kichun Lee*. DNN Compression by ADMM-based Joint Pruning, Knowledge-based Systems, 239, 107988, 2022. (IF=8.8)
◦ Minho Ryu, Geonseok Lee, Kichun Lee*. Knowledge Distillation for BERT Unsupervised Domain Adaptation, Knowledge and Information Systems, 64(11), 3113-3128, 2022. (IF=2.7)
◦ Geonseok Lee, Kichun Lee*. Online Dependence Clustering of Multivariate Streaming Data using One-class SVMs, International Journal of Intelligent Systems, 37(6), 2022. (IF=8.993)
◦ Taewoon Kong, Dongguen Choi, Geonseok Lee, Kichun Lee*. Air Pollution Prediction using an Ensemble of Dynamic Transfer Models for Multivariate Time Series, Sustainability, 13(3), 1367, 2021. 
(IF=3.9)
◦ Geonseok Lee, Kichun Lee*, Feature Selection using Distributions of Orthogonal PLS Regression Vectors in Spectral Data, Biodata Mining, 14(1), 1-16, 2021. (IF=4.5)
◦ Minho Ryu, Geonseok Lee, Kichun Lee*, Online Sequential Extreme Studentized Deviate Tests for Anomaly Detection in Streaming Data with Varying Patterns, Cluster Computing, 24(3), 1975–1987, 
2021. (IF=4.4) 
 
(2) 연구과제
◦​ Big data-based real-time monitoring / simulation system for risk management in a hyper-connectedsociety, March 2023 - February 2024.
◦​ Detecting Dangerous Objects for the Blind, sponsored by National Research Foundation of Korea,November 2021 - February 2023.
◦​ Big Data based Rotating Blade Failure Detection, Diagnosis, and Alarm Technology Development,sponsored by Korea Electric Power Corporation (KEPCO), December 2017 - November 2020.
◦​ Report on Recent Trends in Artificial Intelligence Technology, sponsored by TelecommunicationsTech-nology Association (TTA), May 2020 - October 2020.
◦​ Product Performance Prediction Algorithm Development, sponsored by Kumho Tire Co., Inc. Septem-ber 2018 - August 2019.
◦​ Development of Smart Logistics Engine Using Machine Learning, sponsored by Korea Technology andInformation Promotion Agency for SMEs, June 2017 - May 2018. 
 
(3) 학술대회 발표
◦ Geonseok Lee, Sungwoo Kim, Kichun Lee*. Robust Transfer Subspace Learning for Image Classifi-cation, The 52nd Annual Meeting of Southeast Decision Sciences Institute (SEDSI), 2023. (Best Paper 
Award)
◦ Sungwoo Kim, Kichun Lee, Geonseok Lee*. Online ARIMA with Forgetting Factors for Time-series Prediction, The 52nd Annual Meeting of Southeast Decision Sciences Institute (SEDSI), 2023. 
 
(4) 특허등록
◦​ 상품 배치 방법, 이를 이용하는 컴퓨팅 시스템, 및 프로그램
◦​ 기계 학습을 위한 훈련 데이터 샘플링 방법