Stephane BRESSAN
Associate Professor (Educator Track)- Ph.D. (Computer Science, University of Lille, France, 1992)
- M.Sc. (Computer Science, University of Lille, France, 1988)
- B.Sc. (Computer Science, Electronics & Process Automation, Ecole Universitaire D'Ingénieurs de Lille, France, 1987)
Stéphane Bressan is Associate Professor in the Department of Computer Science of the School of Computing (SoC) of the National University of Singapore (NUS). Stéphane is Track Leader for Maritime Information Technologies at NUS Centre for Maritime Studies (CMS). He is Affiliate Professor at NUS Business Analytics Centre and Faculty Affiliate at NUS Institute of Data Science. He is also a member of the Image & Pervasive Access Lab (IPAL) (Singapore-France CNRS UMI 29255). In 1990, Stéphane joined the European Computer-industry Research Centre (ECRC) of Bull, ICL, and Siemens in Munich (Germany). In 1994, he was appointed site Leader of the Database Platform project and Principal Investigator and Work-package Manager for the European IDEA ESPRIT project on Intelligent Databases. From 1996 to 1998, he was Research Associate at the Sloan School of Management of the Massachusetts Institute of Technology (MIT) (United States of America).
RESEARCH AREAS
RESEARCH INTERESTS
Information Integration
Data Management
Data Analysis
RESEARCH PROJECTS
Quantum Computing and Machine Learning for Combinatorial Optimisation
This project combines quantum computing and machine learning to enhance combinatorial problem-solving. Leveraging Neural Network Quantum States (NNQS) and Quantum Annealing (QA) platforms, it aims to optimize Quadratic Unconstrained Binary Optimization (QUBO) for real-world tasks.
RESEARCH GROUPS
TEACHING INNOVATIONS
SELECTED PUBLICATIONS
- Generating Fake but Realistic Headlines Using Deep Neural NetworksAshish Dandekar, Remmy AM Zen, Stéphane BressanInternational Conference on Database and Expert Systems Applications Pages 427-440 Publisher Springer 2017
- Anomaly detection and identification scheme for VM live migration in cloud infrastructureTian Huang, Yongxin Zhu, Yafei Wu, Stéphane Bressan, Gillian DobbieFuture Generation Computer Systems Volume56 Pages 736-745 Publisher North-Holland 2016
- Regularized cost-model oblivious database tuning with reinforcement learningDebabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart, Stéphane BressanTransactions on Large-Scale Data-and Knowledge-Centered Systems XXVIII Pages 96-132 Publisher Springer 2016
- An effective and efficient parallel approach for random graph generation over GPUs.Stéphane Bressan,Alfredo Cuzzocrea,Panagiotis Karras,Xuesong Lu,Sadegh Heyrani-NobariJ. Parallel Distrib. Comput.733:303-3162013
- Current Approaches to XML Management.Ullas Nambiar,Zoé Lacroix,Stéphane Bressan,Mong-Li Lee,Ying Guang LiIEEE Internet Computing64:43-512002
- Mining term association rules for automatic global query expansion: methodology and preliminary resultsJie Wei, Stéphane Bressan, Beng Chin OoiWeb Information Systems Engineering, 2000. Proceedings of the First International Conference onVolume 1 Pages 366-373 Publisher IEEE 2000
- Indexing the edges—a simple and yet efficient approach to high-dimensional indexingBeng Chin Ooi, Kian-Lee Tan, Cui Yu, Stephane BressanProceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of database systemsPages 166-174 Publisher ACM 2000
- Context Interchange: New features and formalisms for the intelligent integration of informationCheng Hian Goh, Stéphane Bressan, Stuart Madnick, Michael SiegelACM Transactions on Information Systems TOIS Volume 17 Issue 3Pages 270-293 Publisher ACM 1999
AWARDS & HONOURS
MODULES TAUGHT
BT5110
Data Management and Warehousing
CS2102
Database Systems
CS4221
Database Applications Design and Tuning
CS5421
Database Applications Design and Tuning
IT2002
Database Technology and Management