Scientific Committee

Intercim has created a Scientific Committee to reinforce its technological expertise in its unique manufacturing application for the execution, control, quality, and analytics requirements of 21st century manufacturing processes.

Intercim's Scientific Committee:

• Evaluates, adapts, and creates innovative, leading-edge technology
• Partners with globally recognized academic institutions
• Benefits from unique scientific expertise in Machine Learning, Data Mining, Statistics, Optimization, Advanced Control of Manufacturing Processes

This committee is composed of:

	Michèle Sebag
	Stéphane Boucheron
	Gael Durand

Michèle Sebag
Michele Sebag graduated from Ecole Normale Supérieure in Paris with a degree in Math. She also received her PhD in Computer Science in 1990 and her Habilitation in 1997. Michèle has been working at the French « Centre National de la Recherche Scientifique » (CNRS) since 1991and has been a Senior Researcher since 2001.

Primarily grounded in applications for Numerical Engineering, her research interests include Relational Learning and Inductive Logic Programming, Evolutionary Computation and Genetic Programming, as well as Statistical Learning.

Michèle is on the Editorial Boards of several scientific magazines and is the Associate Editor for Knowledge and Information Systems. She is also a member of the PC for the major conferences in Artificial Intelligence, Machine Learning and Evolutionary Computation. She was co-chair of ILP 2001, vice-chair of ICDM 2003, area chair of ECAI 2004, ICML 2005 and ECML-PKDD 2005.

She participates in the Steering Committee of the PASCAL Network of Excellence (2003-2007), and is manager of the Pascal CHALLENGE Programme.

Stéphane Boucheron
Stéphane Boucheron graduated from the French Ecole Normale Superieure (Ulm) in biology. He received his PhD in 1988 and his IT Habilitation in 2002.
Stephane has worked for many years at the French « Centre National de la Recherche Scientifique » (CNRS) where he was a Researcher. Since 2004, Stephane now teaches at the University Paris VII.

Gael Durand
Gael holds a Master degree in Artificial Intelligence from the French University Paris 6 Jussieu.

His various work experiences enabled him to work on different projects combining both pure IT and machine learning.
As a Research Engineer, Gael worked on subjects such as OCR and data classification. At Intercim Gael is responsible for designing, implementing, and validating new algorithms as well as maintaining the existing modules.

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