Academic Profile : Faculty

Prof Cong Gao.JPG picture
Prof Cong Gao
Co-Director, Singtel Cognitive and Artificial Intelligence Lab for Enterprises@NTU
Professor, School of Computer Science and Engineering
Courtesy Appointment, School of Physical & Mathematical Sciences (Courtesy Appointment)
External Links
 
Gao Cong is currently a Professor with School of Computer Science and Engineering in Nanyang Technological University (NTU), and a co-director for Singtel Cognitive and Artificial Intelligence Lab for Enterprises@NTU (SCALE@NTU). Before joining NTU, he was an Assistant Professor in Aalborg University, Denmark. Before that, he worked as a researcher at Microsoft Research Asia. From 2004 to 2006, he worked as a postdoc in University of Edinburgh. He received his Ph.D. in Computer Science from National University of Singapore in 2004.

His general research interests are in Data Science. In particular, his research focuses on geospatial data management, spatio-temporal data mining, recommendation, and mining social media data. He has published in prestigious journals (e.g., VLDB Journal, TODS, TKDE) and conferences (e.g., VLDB, SIGMOD, ICDE, KDD, WSDM, SIGIR, WWW). His citation in Google Scholar was over 14000 with H-index 61. He served as a PC co-chair for ICDE’2022, an associate chair of KDD’21, a PC co-chair for E&A track of VLDB 2014, and a PC vice-Chair for ICDE’18. He is an associate editor for ACM Transactions on Database Systems (TODS) and the vice Chair of ACM KDD Singapore chapter.
Geospatial, Textual, and Mobility Data Management
Data Mining, Large Scale Data Analytics
Mining Social Networks and Social Media
User Preference Modeling and Recommendation
Urban Informatics
 
  • Build a question answer knowledge base for health care workers and patients
  • Collaborative AI “Spatio-temporal Network Learning for Smart Cities, Knowledge Representation with Graph Neural Networks”
  • Data Driven Human Preference Analytics For Urban Computing
  • Deep Trajectory Representation meets Big Trajectory Querying and Mining
  • Machine Learning Driven Query Optimizers for Big Database Systems
  • Novel context-aware multivariate time series modelling for underground transportation infrastructure monitoring and management
  • Preserving Individual Privacy In Urban Informatics
  • Singtel-NTU Cognitive & Artificial Intelligence Joint Lab (Overhead)
  • Singtel-NTU Congnitive & Artifical Intelligence Joint Lab, Common Activities Account
  • Towards Semantic-Aware Multimodal and Multilingual Deep Learning Systems for E-Commerce Applications
  • TradeMaster: Reinforcement Learning-based Quantitative Trading Toolkit
  • TradeMaster: Reinforcement Learning-based Quantitative Trading Toolkit (SMU)
Courses Taught
MH6301 Information Retrieval & Analysis

CZ2007 Introduction to Databases