포스코의 지원을 받아 AIM 연구실에서 수행한 프로세스 마이닝 기술을 적용한 포스코 후판 제품 공정 부하 예측 시스템 프로젝트(참여학생: 박신념, 서정우)가 제 1회 산학 프로젝트 챌린지에서 장관상을 수상했습니다.
신문기사
Best Paper Award at PODS4H 2020
Best Teacher Award
paper published in International Journal of Environmental Research and Public Health
Cho, M., Song, M.*, Park, J., Yeom, S.-R., Wang, I.-J., Choi, B.-K, “Process Mining-Supported Emergency Room Process Performance Indicators“. International Journal of Environmental Research and Public Health, 2020, 17, 6290, DOI:10.3390/ijerph17176290, August 2020
PAPER ACCEPTED IN Decision Support Systems
Park, G., Song, M.,
“Predicting Performances in Business processes using Deep Neural Networks” Decision Support Systems, accepted for publication, 2019. https://doi.org/10.1016/j.dss.2019.113191
Paper accepted in International Journal of Medical Informatics
Cho, M., Kim, K., Lim, J., Baek, H., Kim, Hwang, H., Song, M., Yoo, S.,
“Matching Rate-based Clinical Pathway Discovery from Electronic Health Records: The Cases of Total Laparoscopic Hysterectomy and Rotator Cuff Tears” International Journal of Medical Informatics, accepted for publication, https://doi.org/10.1016/j.ijmedinf.2019.104015, 2019.
PODS4H19 – Austria
Our paper entitled “Developing Process Performance Indicators for Emergency Room Processes” was presented at the The 2nd International Workshop on Process-Oriented Data Science for Healthcare 2019 (PODS4H19) that is organized in conjunction with the International Conference on Business Process Management (BPM 2019) in Vienna on September 1-6, 2019.
의료정보학회 춘계학술대회 우수 연제상 수상
[강연] 정보과학회 데이터베이스소사이어티/한국전자거래학회 공동 여름학교
2019 ICPM(International Conference on Process Mining) – Germany
Our paper entitled “Prediction-based Resource Allocation using LSTM and maximum flow and minimum cost algorithm” was presented at the International Conference on Process Mining 2019 in Germany.