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최정규
데이터마이닝, 머신러닝 기반의 질환 예측 및 의사 결정 시스템 개발을 통해 공학박사를 취득하였고, 첫 회사에서 공간정보 데이터(GIS)를 다루는 일과 사내 공정 자동화를 위한 개발을 하였습니다. 현재는 제약 회사에서 약물 예측을 위한 AI 시스템을 개발 중입니다. 제 가장 큰 장점은 석박사 기간 연구실에서 키워온 인내와 끈기입니다.
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책임연구원 및 PM으로써 약물 분석 AI 시스템 개발 프로젝트 수행 - Python - Tensorflow/Keras - Machine Learning, Deep Learning
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영상처리 및 GIS 분석 프로그램 개발 업무 - C# 개발 - 영상 처리 프로그램 개발 - GIS Data 분석 및 프로그램 개발
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학력

C5.0 Decistion Tree 알고리즘과 정확도와 신뢰도가 향상된 Customized Association Rule 알고리즘을 융합한 것을 활용하여, 질환을 예측하고 의사 결정에 도움을 주는 시스템을 개발하였습니다. - C# - Data Analysis - Data mining - Machine Learning, Deep Learning - Document Writing * 국제 논문지 (1) Jung-Kyu Choi, Yonggwan Won, Jung-Ja Kim, “Analysis of Pediatric Foot Disorders Using Decision Tree and Neural Networks,” International Journal of Biology and Biomedical Engineering, vol. 11, pp. 1-6, 2017. (Scopus) (2) Jung-Kyu Choi, Keun-Hwan Jeon, Yonggwan Won, Jung-Ja Kim, “Application of Big Data Analysis with Decision Tree for the Foot Disorder,” Cluster Computing-The Journal of Networks Software Tools and Applications, vol. 18, no. 4, pp. 1399-1404, 2015. (SCIE) (3) Jung-Kyu Choi, Eun-Jong Cha, Kyung-Ah, Kim, Yonggwan Won, Jung-Ja Kim, “Effects of Custom-made Insoles on Idiopathic Pes Cavus Foot during Walking,” Bio-Medical Materials and Engineering, vol. 26, pp. S705-S715, 2015. (SCIE) (4) Jung-Kyu Choi, Yonggwan Won, and Jung-Ja Kim, “Classification Prediction of the Foot Disease Pattern using Decision Tree Model,” Lecture Notes in Electrical Engineering, vol. 339, no. 1, pp. 785-791, 2015. (SCOPUS) (5) Jung-Kyu Choi, Ji-Yong Jung, Yonggwan Won, and Jung-Ja Kim, “Biomechanical Analysis on Custom-made Insoles in Gait of Idiopathic Pes Cavus,” Journal of Foot and Ankle Research, vol. 7(Suppl 1), A131, 2014. (SCIE) (6) Jung-Kyu Choi, Keun-Hwan Jeon, Yonggwan Won, Jung-Ja Kim, “Pattern Classification of Foot Diseases using Decision Tree,” WSEAS Transactions on Biology and Biomedicine, vol. 11, no. 1, pp. 157-164, 2014. (SCOPUS) (7) Ji-Yong Jung, Jung-Kyu Choi, Yonggwan Won, and Jung-Ja Kim, “Data Mining for Association Analysis of Pes Planus and Pes Cavus,” International Journal of Biology and Biomedical Engineering, vol. 7, no. 1, pp. 143-150, 2013. (SCOPUS) (8) Jung-Kyu Choi, Ji-Yong Jung, Hwa-In Kim, Yonggwan Won, Jung-Ja Kim, “Biomechanical Analysis of the Custom Insoles on Gait of Pes Cavus Patients,” International Journal of Biology and Biomedical Engineering, vol. 7, no. 1, pp. 75-82, 2013. (SCOPUS) * 국제 학술 대회 (1) Jung-Kyu Choi, Yonggwan Won, Jung-Ja Kim, “Analysis of Pediatric Foot Disorders using Decision Tree and Neural Networks,” The 2016 International Conference on Biology and Biomedical Engineering, pp. 1-6, 2016. (2) Jung-Kyu Choi, Dong-Won Kim, Yonggwan Won, Jung-Ja Kim, “Pattern Classification of Pes planus for Prescription of Custom-made Insoles using Two-step Clustering,” The 26th International Conference on Flexible Automation & Intelligent Manufacturing, pp. 36-37, 2016. (3) Jung-Kyu Choi, Yonggwan Won, Jung-Ja Kim, “Association Rule Mining with Apriori Algorithm for Pediatric Foot Disorders,” 10th International Conference on Computer Engineering and Applications, pp. 35-39, 2016. (4) Jung-Kyu Choi, Jae-Young Cho, Yonggwan Won, Jung-Ja Kim, “Significant Segmentation of the Foot Disorder Using Two-Step Clustering,” International Conference on Engineering and Information Technology, pp. 193-199, 2016. (5) Jung-Kyu Choi, Hwa-In Kim, Yonggwan Won, Jung-Ja Kim, “Application of Decision Tree Analysis for Pediatric Foot Disorders,” 15th International Conference on Applications of Computer Engineering, pp. 143-149, 2015. (6) Jung-Kyu Choi, Hwa-In Kim, Yonggwan Won, Jung-Ja Kim, “Pattern Analysis of Pediatric Foot Disorders using Decision Tree,” 15th International Conference on Applied Computer Science, pp. 9-14, 2015. (7) Jung-Kyu Choi, Yonggwan Won, and Jung-Ja Kim, “Classification Prediction of the Foot Disease Pattern using Decision Tree Model,” The 6th International Conference on Information Science and Applications, pp. 785-791, 2015. (8) Jung-Kyu Choi, Chan Il Yoo, Kyung-Ah Kim ,Yonggwan Won, Jung-Ja Kim, “Evaluation of Custom-made Insoles on Pes Cavus during Walking,” 2014 International Conference on IT Convergence and Security, pp. 137-140, 2014. (9) Jung-Kyu Choi, Chan Il Yoo, Kyung-Ah Kim ,Yonggwan Won, Jung-Ja Kim, “Study on Datamining Technique for Foot Disease Prediction,” 2014 International Conference on IT Convergence and Security, pp. 141-144, 2014. (10) Jung-Kyu Choi, Ji-Yong Jung, Yonggwan Won, Jung-Ja Kim, “Biomechanical Analysis on Custom-made Insoles in Gait of Idiopathic Pes Cavus,” 4th Congress of the International Foot and Ankle Biomechanics Community(i-FAB 2014), pp. 94-95, 2014. (11) Jung-Kyu Choi, Keun-Hwan Jeon, Yonggwan Won, Jung-Ja Kim, “Analysis for the Pattern of the Lower Limbs Disease Using Decision Tree Model,” 2014 International Conference on Systems, Control, Signal Processing and Informatics, pp. 105-110, 2014. (12) Jung-Kyu Choi, Ji-Yong Jung, Hwa-In Kim, Yonggwan Won, Jung-Ja Kim, “Biomechanical Analysis of Foot Orthoses on Plantar Pressure in Pes Cavus Patients on Gait,” 13th International Conference on Robotics, Control and Manufacturing Technology, pp. 161-164, 2013. * 국내 학술 대회 (1) 최정규, 원용관, 김정자, “데이터마이닝을 활용한 소아 족부 질환 연관성 분석,” 2014년도 한국정밀공학회 춘계학술대회, pp. 824-824, 2014.
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