MAAD research Department : Models and Algorithms to support Decision making

Person(s) in charge

The work of the research Department "Models and Algorithms to support Decision making" (MAAD in French) focuses on fundamental and applied aspects of decision-making problems in various fields: computer science, industry, management, economics, communication, data processing, images, bioinformatics or environment. Work in this area focuses on modeling, simulation, algorithmic and mathematical analysis of optimization, diagnostics and learning problems. The studies carried out involve advanced mathematical models and methods and articulate them with software developments.

Keywords: Algorithms, graphs, optimization, learning, image processing, modeling, simulation.


Themes

last publications

Florent Foucaud, Paras Vinubhai Maniya, Kaustav Paul, Dinabandhu Pradhan - March 1, 2026 - Discrete Mathematics
Locating-dominating partitions for some classes of graphs

Fatemeh Ghasemi, Julien Grange, Mamadou Moustapha Kanté, Florent Madelaine - Feb. 23, 2026 - CSL 2026
Weakly-sparse and strongly flip-flat classes of graphs are uniformly almost-wide

Dipayan Chakraborty, Florent Foucaud, Michael Henning, Tuomo Lehtilä - Feb. 1, 2026 - Discrete Mathematics
Identifying codes in graphs of given maximum degree: Characterizing trees

Eleon Bach, Yann Disser, Sophie Huiberts, Nils Mosis - Jan. 11, 2026 - ACM-SIAM Symposium on Discrete Algorithms (SODA26)
An unconditional lower bound for the active-set method in convex quadratic maximization

Colin Geniet, Fatemeh Ghasemi, Mamadou Moustapha Kanté - Jan. 7, 2026
Transducing Linear Decompositions of Tournaments

All publications are here