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Technology

MOSAIC – systems modelling and Methods of Operations reSearch And analytICs

About

The systems modelling and Methods of Operations reSearch And analytICs (MOSAIC) branch of CEG-IST is devoted to modelling and solving real-world complex problems, mainly through the design of single and multi-objective mathematical programming innovative tools (methodologies, methods, algorithms, and software), enabling  organizations to convert challenges into advantageous opportunities, helping to make better decisions in a vast range of areas of engineering and sciences. In complex systems, the process of converting data into information more often requires the development of descriptive, predictive, and prescriptive analytical tools, which promotes interdisciplinarity research, integration of people, and internationalization. MOSAIC mission is thus grounded on the principles of interdisciplinarity, integration and internationalization. Its main objectives are: to foster interdisciplinary activity on modeling and solving optimization problems covering the various areas; to provide a platform for integrating people and promote cross-fertilization mainly for the development of mathematical programming tools and their application, in practice; and to promote the development of necessary theory to meet the needs of complex optimization problems by establishing international cooperation.

Group Leader

Selected Publications

European Journal of Operational Research | 2020

L.E. Schäfer

T. Dietz

N. Fröhlich

S. Ruzika

Applied Soft Computing | 2020

Luís Russo

Tobias Dietz

Alexandre Francisco

Stefan Ruzika

Computers and Operations Research | 2018

P. Correia

L. Paquete

Contacts

CEG-IST - Centro de Estudos de Gestão
Instituto Superior Técnico

Av. Rovisco Pais, 1049 - 001 Lisboa
Tel: +351 21 841 77 29 (ext. 1729)
Fax: +351 21 841 79 79
E-mail: cegist@tecnico.ulisboa.pt

Sponsored by

FCT logo

 

 

Financed by Portuguese funds through the FCT - Foundation for Science and Technology, I.P., under the projects UIDB/00097/2020 and UIDP/00097/2020

Host Institution

IST Lisboa