logoFEUP
Engineering Faculty, University of Porto
Doctoral Programme in Informatics Engineering
  ProDEI
Menu Principal

Presentation

ProDEI is the Doctoral Program in Informatics Engineering of FEUP (Faculty of Engineering, University of Porto). It is adequated to new rules, coming out from the "Bologna Declaration", leading to better compatibility and comparability of the European University degrees, as well as EU students mobility.

The main goal of ProDEI is to promote excellence through research and development, for students, in Informatics Engineering topics. All the ACM-IEEE Computing Curricula main areas (Computer Science, Computing Engineering, Information Systems, Software Engineering, Information Technology) can be accommodate in this Doctoral Program. Emphasis is given to theoretical fundamentals but also including the specification, project, modelling, representation, distribution and exploration of  computing systems, as well as information acquisition, representation and processing, with special attention paid to the integration of those  technologies in the organizational environments.

Institutional page is also available.

Contacts

URL: http://www.fe.up.pt/prodei/
Secretariat of ProDEI
FEUP/DEEC
Rua Dr. Roberto Frias, s/n
4200-465 Porto PORTUGAL
Tel +351 22 508 21 34         
email: prodei 'at' fe.up.pt

Post-Graduation Service
FEUP
Rua Dr. Roberto Frias, s/n
4200-465 Porto PORTUGAL
Tel +351 22 508 21 30
email: sposgrad 'at' fe.up.pt

News

Paper by Valter Rocha (ProDEI 3rd Edition, 2007-08) got the Best Paper award (Diploma and Medal) at 2008 IEEE International Conference on Automation, Quality & Testing, Robotics - ATQR 2008 (section e-Health).

A paper by the ProDEI student Dora Simões got the Best Paper Award 2nd place, in the conference PRO-VE 2007: Ontology Engineering in Virtual Breeding Environments; Dora Simões, Hugo Ferreira, António Lucas Soares

OPPORTUNITY until the 20th of September 2007: Call for PhD Scholarship Application at the University Rey Juan Carlos, Madrid

First Thesis successfully submitted to ProDEI:
Learning from Multiple sources in Heterogeneous Groups of Agents
,
by Luís Miguel Martins Nunes
Aproved by: Daniel Kudenko (U. York, UK), Luis Botelho (ISCTE), Pavel Brazdil (FEP), J. Marques de Sá (FEUP), Rui Camacho (FEUP), Ana Paula Rocha (FEUP), Eugénio Oliveira (Advisor), J. Silva Matos (Chair).
11th April, 2006

Contact Web Master Updated in: 2009-05-29