Dr Paulo Santos

Senior Lecturer in Artificial Intelligence and Robotics

College of Science and Engineering

Research expertise

My research has been devoted to the development o feasible and efficient combinations of machine learning algorithms with high-level ontologies (involving spatial knowledge) that are capable of describing the outputs of ML algorithms. This facilitates reasoning about ML decisions and the inference of new facts about the underlying domain.

Research expertise

My research has been devoted to the development o feasible and efficient combinations of machine learning algorithms with high-level ontologies (involving spatial knowledge) that are capable of describing the outputs of ML algorithms. This facilitates reasoning about ML decisions and the inference of new facts about the underlying domain.

place Tonsley (4.24)

Paulo Santos received his PhD degree in artificial intelligence from Imperial College, London, UK in 2003, working on the development of spatial reasoning systems for mobile robots under the supervision of Murray Shanahan. He was a research assistant at the School of Computing, University of Leeds, UK (2003-2005), working on a European Union funded project for the development of Cognitive Vision Systems, under the supervision of Anthony Cohn and David Hogg. Dr. Santos led a research group in AI and Robotics in Sao Paulo, Brazil (2005-2019), conducting a number of research projects of industrial interest. During this period, Dr. Santos was also a visiting researcher at the following world-class institutions: University of Leeds, UK (2007, 2010); Ryerson University, Canada (2010), Bremen University, Germany (2012); Coruna University, Spain (2014), and has received funding from various international sources (such as the British Council, Santander Universia, the European Union). Currently Dr. Santos is a Senior Lecturer at Flinders University, Adelaide, Australia, developing research on the integration of Automated Reasoning with Deep Learning models towards explainable AI systems.

Research expertise
Artificial intelligence and image processing
Cognitive science
Computation theory and mathematics
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.

Supervisory interests
Artificial intelligence
Cognitive science
Robotics

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