Research output per year
Research output per year
Personal profile
Personal information
Pedro Barahona is Professor of Computer Science in the Departament of Computer Science (Departamento de Informática) of the Faculty of Science and Technology (Faculdade de Ciências e Tecnologia) of the New University of Lisbon (Universidade NOVA de Lisboa), where he was the Head of Department (in 1999-2006) and Director of its Centre for Artificial Intelligence - CENTRIA (in 2008-2012).
His main research area is Constraint Programming, within the wider area of Artificial Intelligence, and in their applications, namely in Bioinformatics, Medicine, and Logistics, presenting regularly the result of his research in various scientific conferences and publications in these areas.
To support this research, he has been responsible or participated in a number of projects, both national and international, often with a leading role. He has also organised and/or collaborated in the organisation of several scientific events, and took responsibility in the management of national and international scientific associations.
In his teaching activity, he has been responsible for various courses, at graduate level as well as post-graduate, namely in Computer Science and Applied Artificial Intelligence, and supervised several M.Sc. and Ph.D. students.
Education/Academic qualification
Computer Science, Doctorate, Specification and Control of Execution of Nondeterministic Dataflow Program, University of Manchester
Award Date: 1 Jan 1987
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Collaborations and top research areas from the last five years
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IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain
Mochão, H., Gonçalves, D., Alexandre, L., Castro, C., Valério, D., Barahona, P., Moreira-Gonçalves, D., Costa, P. M. D., Henriques, R., Santos, L. L. & Costa, R. S., Jun 2022, In: Computer Methods and Programs in Biomedicine. 219, p. 1-14 14 p., 106754.Research output: Contribution to journal › Article › peer-review
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K-best feasible clusters - ranking optimal solutions from an infeasible LP
Amaral, P. A. & Barahona, P., 2020, In: INFOR. 58, 4(SI), p. 402-423 22 p.Research output: Contribution to journal › Article › peer-review
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KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling
Mochão, H., Barahona, P. & Costa, R. S., 28 Nov 2020, In: Database : the journal of biological databases and curation. 2020, BAAA093.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)5 Downloads (Pure) -
Constraining redundancy to improve protein docking
Krippahl, L. & Barahona, P., 2016, Principles and Practice of Constraint Programming - 22nd International Conference, CP 2016, Proceedings. Rueher, M. (ed.). Cham, Switzerland: Springer Verlag, p. 721-732 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9892 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Protein docking with predicted constraints
Barahona, P. M. C. C. D. & Krippahl, L., 20 Feb 2015, In: Algorithms For Molecular Biology. 10, 1, p. 1-8 8 p., 9.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus)