Mauro Birattari

Chercheur Qualifié du F.R.S.-FNRS

Research Projects

Ongoing Research Projects

ASCENS. Member of the project on autonomic service-component ensembles funded by the European Union within the Future and Emerging Technologies (IST-FET) program. 2010-2014.

Swarm-Morph. Research director of the project on robot morphogenesis funded by the Fonds de la Recherche Fondamentale Collective (FRFC) of the French Community of Belgium. 2009-2013.

Meta-X. Main investigator of the action de recherche concertée (ARC) on metaheuristics for complex optimization problems funded by the the French Community of Belgium. 2008-2013.

Past Research Projects

SWARMANOID. Member of the scientific committee of the future and emerging technologies project funded by the European Commission. 2006-2010.

Evolving a Collective Consciousness for a Swarm of Pico-Satellites. Member of the project funded by the Ariadna initiative of the European Space Agency. 2007.

COMP2SYS. Member of the training staff of the early stage researchers training site funded by the European Commission within the Marie Curie Actions program. 2004-2008.

ANTS. Member of the action de recherche concertée (ARC) on the theoretical and experimental analysis of ant algorithms, funded by the French Community of Belgium. 2003-2008.

METAHEURISTICS. Grant holder in the training and research network on metaheuristics funded by the European Commission. 2000-2004.

FAMIMO. Contribution to the Esprit project funded by the European Commission, through the implementations of local techniques for nonlinear prediction and control. 1996-1998.

MARCH. Participation in the action de recherche concertée (ARC) on pattern recognition funded by the the French Community of Belgium. 1998-2002.

Masterfood. Collaboration with the research center of Masterfood for the prediction of market indices using lazy learning techniques. 1997-1999.

D'Ieteren. Lazy learning techniques for predicting the annual amount of sales of a Belgian retailer, on the basis of historical data. 1998.

FaFer Usinor. Lazy learning for modeling the rolling mill process of the steel company FaFer in Charleroi, Belgium. FIRST Project funded by the Walloon Region, Belgium. 1997-1999.

Honeywell. Collaboration on a data mining project with Honeywell Technology in Minneapolis, MN, USA, and in Prague, Czech Republic. 1997.

Tractebel. Feasibility study for the adoption of local lazy learning techniques for forecasting electrical loads. In collaboration with the Belgian electric power company. 1997.

Mauro Birattari

Chercheur Qualifié du F.R.S.-FNRS

IRIDIA, CoDE, FSA - CP 194/6
Université Libre de Bruxelles
Av. F.D. Roosevelt 50
1050 Bruxelles - Belgium

Voice: (+32)-2-650 31 68
Fax: (+32)-2-650 27 15

mbiro@ulb.ac.be
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Highlights

Best Video Award

The video Swarmanoid, the movie, written and directed by Mauro Birattari and Rehan O'Grady, won the Best Video Award at the AAAI-11 AI Video Competition!

August 2011

News from IRIDIA

Mattia Manfroni received the Best Master Thesis Award from the Italian Association for Artificial Intelligence (AI*IA). Mattia carried out his research at IRIDIA under the supervision of Andrea Roli, Mauro Birattari, Carlo Pinciroli, and Marco Dorigo.

September 2011

Books

Tuning Metaheuristics

A machine learning perspective
M. Birattari. Springer, 2009

Upcoming Events

AAAI Video Competition

Sixth AI Video Competition, held in conjunction with the AAAI-12 conference

Toronto, Canada, July 22-26, 2012

ANTS 2012

Eight International Conference on Swarm Intelligence

Brussels, Belgium, Sept. 12-14, 2012