Alcides Fonseca


Departamento de Informática

Sala/Gabinete 6.3.17
Ext. Principal 26702
Página Pessoal

Carreira Docente Universitário
Categoria Professor Auxiliar


Google Scholar
Currículo Resumido

Alcides Fonseca is an Assistant Professor at the Faculty of Sciences of the University of Lisbon. Alcides has a PhD, a MSc and a BSc from the University of Coimbra, where he also was a Visiting Lecturer. Alcides has participated in several national and international projects, such as the CMU|Portugal Aeminium, and industry projects, being a consultant for several startups (Genomed, SmashTech, Sentilant, Spero, Burocratik) and multinational companies (Ogilvy & Mather). Currently, Alcides is affiliated with the LASIGE research center, where he is the local PI of the CMU|Portugal CAMELOT project, a collaboration between Feedzai, LASIGE, IST, UC and CMU.

Interesses Científicos

Programação Automática

Programação Paralela

Machine Learning

Computação Evolutionária

Scientific Interests

Automatic Programming

Parallel Programming

Machine Learning

Evolutionary Computing

Publicações selecionadas
  • Fonseca, Alcides, and Bruno Cabral. "Controlling the granularity of automatic parallel programs." Journal of Computational Science 17 (2016): 620-629.
  • Fonseca, Alcides, et al. "Automatic Parallelization: Executing Sequential Programs on a Task-Based Parallel Runtime." International Journal of Parallel Programming 44.6 (2016): 1337-1358.
  • Fonseca, Alcides, and Bruno Cabral. "Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis." Big Data Research (2017).
  • Stork, Sven, et al. "Aeminium: A permission-based concurrent-by-default programming language approach." ACM Transactions on Programming Languages and Systems (TOPLAS) 36.1 (2014): 2.
  • Fonseca A, Santos P, Silva S. The Usability Argument for Refinement Typed Genetic Programming. InInternational Conference on Parallel Problem Solving from Nature 2020 Sep 5 (pp. 18-32). Springer, Cham.

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