Reader in Neural Symbolic Computation, City, University of London

Artur Garcez is a Reader in Neural-Symbolic Computation at the Department of Computer Science, City University London. He holds a Ph.D. in Computing (2000) from Imperial College London. He is a Fellow of the British Computer Society (FBCS), member of the ACM, AAAI, IEEE, CGCA, and partner at Performance Systems Ltd., Rio de Janeiro. Garcez is the leader of the Machine Learning research group at City University, and founding director of City's new MSc in Data Science.

Garcez has an established track record of research in Machine Learning, Neural Computing and Artificial Intelligence. He has co-authored two books: Neural-Symbolic Cognitive Reasoning, with Lamb and Gabbay (Springer 2009), and Neural-Symbolic Learning Systems, with Broda and Gabbay (Springer 2002). His research has led to publications in Behavioral & Brain Sciences, Theoretical Computer Science, Neural Computation, Machine Learning, Journal of Logic and Computation, Artificial Intelligence, Journal of Applied Logic, IEEE Transactions on Neural Networks and Learning Systems, and Studia Logica. He has consistently published at the flagship Artificial Intelligence and Neural Computation conferences AAAI, NIPS, IJCAI, AAMAS, IJCNN, ECAI.

Experience

  • –present
    Reader in Neural Symbolic Computation, City University London