Professor
Sang-Chul Lee
Education
Hanyang University
- Ph.D., Department of Electronics Computer Engineering (2012.08)
- Thesis: Collaborative Filtering Based Recommendation Systems Techniques for Accuracy, Diversity, and Scalability
- Research Interests: Data mining, Recommendation systems, Web search engines, Social network analysis, Location based services
- M.S., Department of Electronics Computer Engineering (2007.02)
- B.S., Division of Information and Communications (Major in Software) (2005.02)
Experience
Daegu Gyeongbuk Institute of Science and Technology(DGIST)
- Senior Researcher (AI Specialist)
- Daegu, Korea. 2020.02 - Present
- AutoML, Meta search
- Recommendation systems
- Smart Factory
Hyundai Heavy Industries (Bigdata Analytics Team)
- Data Scientist (Researcher)
- Ulsan, Korea. 2016.02-2020.01
- Factor analysis for part sales in engine retrofit projects
- Automated parameter setting for multiple welding machines and crane failure detection in BLT (Built-up T bar) factory
Carnegie Mellon University (School of Computer Science)
- Post-Doc (Mentor: Prof. Christos Faloutsos)
- Pittsburgh, PA. 2013.10-2016.01
- Fraud (abuse) detection algorithms in price-comparison sites (EigenSpokes, Feature extractions, Multi-features combination)
- Analysis real-world data obtained from NHN Corp., Korea
Hanyang University
- Post-Doc (Mentor: Prof. Sang-Wook Kim)
- Seoul, Korea. 2012.9-2013.10
- Recommendation systems for price-comparison sites (Collaborative filtering, Random walk with restart, Graph modeling)
- Webpage ranking algorithms (Relevance propagation models, Topic distillation tasks, Lucene open search engine)
Technical Skills
- Programming Languages and Tools: C/C++/C#, Java, Python, Matlab, SQL, SPSS, Clementine
- Web Development: HTML, PHP, ASP, MySQL, MS SQL
- Typesetting Tools: LaTex, MS Office
Service / Reviewing
- Program Committee Member: ACM SAC 2013, 2014
- Conference Reviewer: DASFAA 2013, ACM ICUIMC 2012
- Journal Reviewer: IEEE Transactions on SMC: Systems (2014)