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Bogdan Cautis is an Associate Professor at the Infocomm Technology Cluster of the Singapore Institute of Technology. He has a PhD in Computer Science from Paris-Sud University 11 and INRIA, awarded in 2007. Cautis has held prominent academic positions, including Professor at the University of Paris-Saclay and Associate Professor at Telecom ParisTech, with extensive experience in teaching and research across France, Hong Kong, and Singapore. His research interests focus on Data Science, Big Data, Database Theory, Graphs, Graph Mining, Information Diffusion, and Analytics. He has published numerous papers in top-tier conferences and journals. He coordinates significant projects, including the collaborative DESCARTES program aimed at AI-based decision-making for critical urban systems. Additionally, he has a strong track record of supervising PhD students and has held roles such as Area Chair for ACM SIGKDD and Associate Editor for PVLDB.
Infocomm Technology Cluster, Singapore Institute of Technology • Singapore
Teaching and research in the field of computer science.
University Paris-Saclay, France • France
Leading research and teaching in computer science.
CNRS@CREATE Singapore • Singapore
Conducting research in artificial intelligence and decision-making systems.
Telecom ParisTech • France
Research and teaching in data management and mining.
Includes programs like Aerospace Engineering and Mechanical Engineering (SIT-UofG joint degrees).