Personal profile

Research Interests

Artificial Intelligence (AI) is currently one of the fastest growing areas of computer science. In the past few years the interest in this field has transcended academic development, achieving a variety of applications, potentially influencing every modern economic activity. Much of this development is due to the recent availability of large data sets, as well as of computational resources, and is linked to a single field of AI, namely Machine Learning (ML). This fast development brought notoriety to the field, however, being confined to a single subarea of AI, it is deemed to achieve a standpoint, since the outputs of ML systems do not have explicit justifications that allow them to be audited. Therefore, machine learning algorithms cannot be fully trusted when dealing with human (sensitive) data. The key reason for the lack of justification for the ML outputs is that these algorithms have been largely developed independently from the AI subfield of Knowledge Representation and Reasoning. The future development of AI should consider the development of machine learning systems with knowledge representation capabilities allowing them to provide an explanation to their computed decisions. A large part of my current research has been devoted exactly at developing feasible and efficient combinations of machine learning algorithms (specially convolutional neural networks and reinforcement learning) with high-level ontologies capable of describing the outputs of ML algorithms. This facilitates reasoning about ML decisions and the inference of new facts about the underlying domain. In particular, I have been investigating how the output of a convolutional neural network, that associates visual scenes to English sentences, could be explained by means of a spatial ontology representing the domain objects and their attributes. 

Education/Academic qualification

PhD, Spatial Reasoning and Abductive Interpretation of Sensor Data Obtained by a Mobile Robot in Dynamic Environment, Imperial College London

Award Date: 20 Nov 2003

Master of Science, Formalising the Common Sense of a Mobile Robot, University of Amsterdam

Award Date: 8 Oct 1998

Master of Science, The Equivalence between Transaction Logic Semantics and the Semantics of its PROLOG implementation, Universidade de Sao Paulo

Award Date: 10 Jul 1995

Bachelor (Honours), The effect of thermal treatment on LiF dosimeters, Universidade de Sao Paulo

Award Date: 30 Nov 1993


  • Registered

Research Areas

  • Automation, control and robotics engineering
  • Knowledge discovery, AI and data mining

Supervisory Interests

  • Robotics
  • Artificial intelligence
  • Cognitive science


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