Name: Sébastien Gambs
User name: gambsseb
Phone number (LITQ laboratory): 343-6111 #3514
Phone number (HÉRON laboratory): 343-6111 #3494
Status: Ph.D. student.
Project: Quantum Information Processing and Machine Learning.
My main research interets lie in everything that is connected to Quantum Information Processing, as well as Artificial Intelligence and Machine Learning, and the crossing of these domains. In Machine Learning, I am particularly interested in Unsupervised Learning.
By nature, I am a curious guy and among my other research interets are the following domains:
Algorithmics, Cryptology, Data Structures, Information Theory, Theoretical Computer Science.
I am also still interested in Intelligent Tutoring Systems, which is a domain I used to work on during my master.
Ph.D. in computer science, Université de Montréal, Montréal, Canada.
Supervisors: Gilles Brassard and Esma Aïmeur.
Subject: Quantum learning.
Master in computer science, Université de Montréal, Montréal, Canada.
Supervisors: Esma Aïmeur and Gilles Brassard.
Subject: Development of a curriculum and a student model oriented towards a
multidisciplinary domain: Quantum Information Processing.
B.Sc (Honors) in computer science, University of Teesside, Middlesbrough, United Kingdom.
First class grade obtained.
Diplôme Universitaire Technologique en informatique (DUT), IUT Strasbourg-Sud, Strasbourg, France.
Baccalauréat scientifique (Physics-Chemistry option), Lycée Jean-Monnet, Strasbourg, France.
Gambs S., "Quantum classification". Preliminary version available on arXiv:0809.0444.
Aïmeur E. et Gambs S., "Data mining and privacy", Encyclopedia of Data Warehousing and Mining (2nd edition), August 2008.
Brassard G., Broadbent A., Fitzsimons J., Gambs S. et Tapp A., "Anonymous quantum communication", Proceedings of the 13th Annual International Conference on the Theory and Application of
Cryptology and Information Security (ASIACRYPT'07), Sarawak, December 2007, accepted.
(Preliminary version available on arXiv:0706.2356.)
Accepted for presentation at the 11th Workshop on
Quantum Information Processing (QIP), New Delhi, December 2007.
Aïmeur E., Brassard G. and Gambs S., "Quantum clustering algorithms", Proceedings of the 24th Annual International Conference of Machine Learning (ICML'07), Corvallis, June 2007, pp. 1-8.
Brassard G., Broadbent A., Fitzsimons J., Gambs S. et Tapp A., "Anonymous quantum communication", Proceedings of the International Conference on Information Theoretic Security (ICITS'07) (invited paper - short format), Madrid, May 2007.
Gambs S., Kégl B. and Aïmeur E., "Privacy-preserving boosting", Data Mining and Knowledge Discovery, volume 14, issue 1, February 2007, pp. 131-170.
Aïmeur E., Brassard G. and Gambs S., "Machine learning in a quantum world", Proceedings of the 19th Canadian Conference on Artificial Intelligence (Canadian AI'06), Québec city, June 2006, pp. 433-444.
Aïmeur E., Brassard G., Gambs S. and Kégl B., "Privacy-preserving boosting", International Workshop on Privacy and Security Issues in Data Mining,
in conjunction with the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'04), Pisa, September 2004, pp. 51-69.
Aïmeur E., Brassard G. and Gambs S., "Towards a new knowledge elicitation algorithm", IJCAI Workshop on Knowledge Representation and Automated Reasoning for a E-Learning System,
Acapulco, August 2003, pp. 1-7.
Aïmeur E., Brassard G., Dufort H. and Gambs S., "CLARISSE: A machine learning tool to initialize student models", Proceedings of the 6th International
Conference on Intelligent Tutoring Systems (ITS'02), Biarritz, juin 2002, pp. 718-728.
Aïmeur E., Blanchard E., Brassard G. and Gambs S., "QUANTI: A multidisciplinary knowledge-based system for quantum information processing", Proceedings of International
Conference on Computer Aided Learning in Engineering Education (CALIE'01), Tunis, November 2001, pp. 51-57.
Aïmeur E., Blanchard E., Brassard G., Fusade B. and Gambs S., "Designing a multidisciplinary curriculum for quantum information processing", Proceedings of the 10th International
Conference on Artificial Intelligence in Education (AIED'01), San Antonio, May 2001, pp. 524-526.
Last update: 9 September 2008.