Research profile

My key interest is Artificial Intelligence grounded in the Logic representation of problems. In particular, Statistical Relational Learning to address noise and incomplete knowledge.

In my current research project, Zugzwang | Logic and Artificial Intelligence, we try to address a major limitation of logical representations, the implicit assumption that the Background Knowledge (BK) is perfect. This assumption is problematic if data is noisy, which is often the case. Here we aim to explore how ASP specifications with probabilistic facts can lead to characterizations of probability functions on the specification's domain.

I am associated member of the Intelligent Systems group of NOVALINCS, a leading research lab in the area of Computer Science and Informatics, hosted at the Departamento de Informática – NOVA School of Science and Technology | FCT NOVA – Universidade NOVA de Lisboa, a pioneering national institution in the field. NOVA LINCS also integrates branches at Universidade de Évora, Universidade da Beira Interior and Universidade da Madeira. NOVA LINCS research team currently engages 61 integrated members and 23 associated members.

I completed my PhD in Computer Sciences in 2006 at the University of Lisbon; MSc in Mathematics in 1997 at the University of Lisbon; and graduation in Mathematics in 1993 by the Faculty of Sciences, University of Lisbon.

I participated as Principal Investigator (PI) in one FCT project and as project member in several other funded projects.

Also, see my publications.