Scholar
Gao Cong
Google Scholar ID: WFFamJkAAAAJ
Nanyang Technological University
Citations & Impact
Citations
12,342
H-index
55
i10-index
180
Publications
20
Co-authors
44
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published a paper on classifying gene expression data using top-k covering rule groups in SIGMOD 2005; Google Scholar profile, ACM author profile, and papers @ [DBLP]; Involved in organizing several international conferences including PC co-chair for ICDE'22, workshop co-chair for CIKM'21, etc.
Research Experience
- 2018-Present: Professor, College of Computing and Data Science, Nanyang Technological University, Singapore; 2015-2018: Associate Professor, Nanyang Technological University, Singapore; 2010-2015: Assistant Professor, Nanyang Technological University, Singapore; 2008-2010: Assistant Professor, Department of Computer Science and Center for Data-intensive Systems (Daisy), Aalborg University, Denmark; 2007-2008: Researcher, Microsoft Research Asia; 2004-2006: Postdoc Research Fellow, Database group within the School of Informatics, University of Edinburgh; 1999-2000: Shenzhen Huawei Company, China.
Education
- 2000-2004: Ph.D. student, Department of Computer Science, National University of Singapore; 1992-1999: Master and Bachelor, Tianjin University, China.
Background
- Research interests: Spatial Data Management (Spatial +X Data Systems), ML/AI for Databases, Spatio-temporal Data Mining and Smart City, Recommendation Systems. Brief introduction: Currently a Professor at the College of Computing and Data Science, Nanyang Technological University, Singapore, affiliated with the Data Management Research Group (DANTE).
Miscellany
- Division Head, Division of Data Science, CCDS, NTU, 2024; Co-director for the Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU), 2019-2024; Assistant Chair (Alumni and outreach), School of Computer Science and Computer Engineering, 2018-2024; Teaches multiple courses such as Data Analytics and Mining, Data Processing Ethics, Introduction to Databases, etc.
