Seohyun Choi
- 세상에는 재밌는 게 너무 많다; 배움은 나의 도파민; 엄청 심심하면 공부함
- Hobbies: Football (9y), Tennis (10m)
- Contact: choish91_at_gmail_com
- Address: Hwaseong, Gyeonggi, South Korea
Education
Ph.D. Candidate in Big Data Analytics, Kyung Hee University (03.2021-Present)
M.S. in Industrial Management and Systems Engineering, Kyung Hee University (03.2014-02.2016)
(Thesis: A Process Mining Technique based on Bayesian Networks for Inference of Probabilistic Event Patterns)
B.S. in Industrial Management and Systems Engineering, Kyung Hee University (03.2010-02.2014)
Experience
Netmarble Corp. Seoul, South Korea (02.2016-09.2018)
A South Korean game publishing company and ranked third in global mobile app publisher, 2017, according to App Annie
- Business Intelligence Developer
- Developed and reported KPIs and dashboards
- Designed schema of game log and data warehouse
- Managed 5 MSSQL Severs: data backup, storage management, and data migration
- Established a rule-based process to detect dummy users and abusers earning game money abnormally
- Tested data quality
- Data Analyst
- Designed/developed machine learning models to predict paying users with AUC of 87%
- Desgined, evaluated and reported 10 A/B tets of in-app marketing campaigns concurrently
Projects
- Hyundai NGV 현대위아 빅데이터 캠퍼스 1~4기 과정 멘토
- Hyundai NGV 현대자동차 제조솔루션본부 데이터-부트캠퍼스 멘토
- Hyundai NGV 현대자동차 제조솔루션본부 설비보전 데이터 분석 강의
- Duration: Jul 1-5, 2024
- Role: 머신러닝 코드 실습 강의
- LS Cable & System Digital Shadow를 위한 설비 고장진단 및 해석 AI 기술 개발
- Duration: Apr, 2022- Mar, 2023
- Role: 설비 고장진단 실시간 모니터링 시스템 개발
- Samsung Electronics Cluster형 FAB을 위한 동간 반송시간 고정밀 예측 기술 개발
- Duration: Apr 15-Dec 31, 2021
- Role: 주요 변수 추출 및 머신러닝 기반 반송시간 예측 모형 개발
Publication
- International Journal
- (Submitted) Donghyuk Jang, Seohyun Choi, and Jae-Yoon Jung*, “Fault Monitoring and Visualization System of Integrating Multiclass Mahalanobis-Taguchi Systems and Principal Component Analysis”, EAAI, under revision 240501. (SCIE, IF=8.0, 5.0%, MDE)
- (To be submitted) Seohyun Choi, Young Ha Joo, Hoonseok Park, Younkook Kang, Ri Choe, and Jae-Yoon Jung*, “Wafer Delivery Time Prediction for Interline Transfers in a Semiconductor Fab Using Machine Learning: A Case Study”
- International Conference
- Seohyun Choi, Young Ha Joo, Hoonseok Park, Younkook Kang, Ri Choe, and Jae-Yoon Jung*, “Wafer Delivery Time Prediction for Interline Transfers in a Semiconductor Fab Using Machine Learning: A Case Study”, In Proc. of the 33rd Flexiable Automation and Intelligent Manufacturing (FAIM 2024), Taichung, Taiwan, Jun 23-26, 2024.
- Donghyuk Jang, Seohyun Choi, and Jae-Yoon Jung*, “Fault Diagnosis and Visualization Using Multi-class Mahalanobis-Taguchi Systems”, In Proc. of 17th International Conference on Innovative Computing, Information and Control (ICICIC 2023), Kumamoto, Japan, Aug 29-31, 2023.
- Seohyun Choi, Young Ha Joo, Hoonseok Park, Jae-Yoon Jung*, Younkook Kang, and Ri Choe, “Travel time prediction method for inter-line transfers in semiconductor fab using machine learning”, In Proc. of the 13th International Conference on Internet (ICONI 2021), Dec 12-14, 2021.
- Seohyun Choi and Jae-Yoon Jung*, “Discovery of Probabilistic Information Process Based on Bayesian Networks”, In Proc. of International Conference on Innovation and Management (IAM 2018), Jan 30-Feb 2, 2018.
- Seohyun Choi and Jae-Yoon Jung*, “Information Diffusion Process Analytics based on Bayesian Networks in Social Network Analysis”, Process Mining Case Competition of AP-BPM 2015, Jun 2015.
- Seohyun Choi, Aekyung Kim, Dongmin Shin, and Jae-Yoon Jung*, “Discovery of Information Diffusion Process Based on Bayesian Belief Networks in Social Network Services”, Poster in INFORMS Business Analytics & Operations Research (Analytics 2015), Apr 2015.
- Domestic Conference
- 박재훈, 조은지, 최서현, 정재윤, “트랜스포머 기반 한국어-한국수어 3D 포즈 시퀀스 변환”, 한국CDE학회 동계학술대회, Feb 8-10, 2023.
- 장동혁, 최서현, 정재윤, “PCA 기반 실시간 설비 상태 시각화 및 진단 시스템”, 한국CDE학회 동계학술대회, Feb 8-10, 2023.
- 장동혁, 최서현, 정재윤, “진동센서를 이용한 PCA 기반 설비 감시 시스템”, 대한산업공학회 추계학술대회, Nov 4, 2022.
- 조은지, 박재훈, 최서현, 정재윤, “딥러닝을 이용한 포즈 기반 수어 생성 연구”, 한국전자거래학회 춘계학술대회, Jun 30-Jul 1, 2022.
- 정재윤, 김애경, 오규협, 이진성, 최서현, 허광진, 이주연, 김동일, 전찬모, 김보현, “스마트공장을 위한 제조품질분석 데이터마이닝 라이브러리 개발”, 한국CAD/CAM학회 동계학술학회, Jan 27-29, 2016.
- 최서현, 정재윤, “Bayesian Network-Based Process Mining Technique for Extracting Probabilistic Task Execution Rules in Ad-hoc Workflow”, 대한산업공학회 추계학술대회, Nov 7, 2015.
- 최서현, 김애경, 정재윤, “프로세스 마이닝을 이용한 SNS에서의 정보 확산 패턴 분석”, 한국통신학회 동계종합학술발표회, Jan 30-Feb 1, 2013.
Skills
- Python, MSSQL, Google BigQuery, Java, R, MicroStrategy MSTR
Awards
- 2023 한국CDE학회 동계학술대회, 트랜스포머 기반 한국어-한국수어 3D 포즈 시퀀스 변환, 우수논문상, 한국CDE학회 (Feb 10, 2023)
- 제3회 한국동서발전 EWP 발전빅데이터 AI 경진대회, (과제2) 복합화력 스팀터빈 계통 출력 및 성능 이상진단, 최우수상(한국동서발전사장상), 한국동서발전 (Dec 28, 2021) [발표]
- 2021 스마트공장우수논문경진대회, AMR을 활용한 공장관리 무인화, 최우수상(산업통상자원부장관상) (Dec 10, 2021)
- Process Mining Case Competition of AP-BPM 2015, Information Diffusion Process Analytics based on Bayesian Networks in Social Network Analysis, Second-Prize Award (Jun, 2015)
- 2013 대한산업공학회 추계학술대회 대학생프로젝트경진대회, Opinion Mining을 위한 Twitter 기반 지역별 선호도 분석 및 시각화, 장려상, 대한산업공학회 (Oct 15, 2013)