Contacts

Departamento de Informática
Faculdade de Ciências e Tecnologia
Universidade Nova de Lisboa
Quinta da Torre, 2829 -516 Caparica
Portugal

email:
jm.magalhaesx@fct.unl.ptx
(remove all 'x' characters).

Positions

Assistant Professor at DI / FCT / UNL.
Researcher at NOVA-LINCS (Laboratory for Informatics and Computer Science).

Degrees

PhD in Computer Science (2008), Imperial College London.
MSc in Electrical and Computer Engineering (2002), Instituto Superior Técnico.
Eng degree in Electrical and Computer Engineering (1998), Instituto Superior Técnico.

Research

My research interests concern the different aspects of Web and multimedia search and data mining: exploratory search and recommendation systems, machine learning methods, information extraction,  high-dimensional indexing, ranking algorithms, and graph based analysis of social-networks.

Students

Interested in doing research in Web and Social-Media search and mining? Want to improve information access in Healthcare and Clinical Information Systems?

Have a look at our ongoing research projects, past student projects' page and demonstrators. I'm available to discuss ideas and projects.

Teaching

Office hours: Thursdays 17h00 - 19h00

Courses:

Web and Media Search (Computer Science PhD)

Web Search (Computer Science MSc)

Information Retrieval (Big Data Analysis and Engineering MSc)

Publications

My list of publications is here.

Biography

João Magalhães holds a Ph.D. degree (2008) in Computer Science from Imperial College London, UK and both a M.Sc. (2002) and Engineering degree (1998) in Electrical and Computer Engineering from the Instituto Superior Técnico, Lisbon, Portugal.  He is currently an Assistant Professor at the Department of Computer Science of the Faculty of Science and Technology of the Universidade Nova de Lisboa. Before that he was at the Instituto Superior de Engenharia de Lisboa (2002-2009) and at Siemens R&D (1997-2003) working in the area of multimedia and communications networks. His research interests cover the different problems of Web and multimedia information search and data mining: exploratory search and recommendation systems, machine learning methods for information extraction,  high-dimensional indexing and ranking algorithms, and graph based analysis of social-networks. Dr. Magalhães received the ACM International Conference in Image and Video Retrieval 2007 Best Paper Award, the Portuguese national engineering association Young Engineer Award in 2002, and the Siemens Innovation and Communications Award in 2002.