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Professor Felipe Meneguzzi

Professor Felipe Meneguzzi
Professor Felipe Meneguzzi
Professor Felipe Meneguzzi

Chair in Computing Science

Accepting PhDs

About
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School of Natural and Computing Sciences
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Biography

I am a researcher on automated planning, goal and plan recognition, multiagent systems, BDI agents, and machine learning. I currently hold a Chair of Computing Science at the University of Aberdeen. I am a Senior Member of the ACM and of AAAI. I was a Professor of AI at the Pontifical Catholic University of Rio Grande do Sul in Brazil, where I remain as a Bridges Professor. Before my current position, I worked as a Project Scientist in Multiagent Systems at the Robotics Institute of Carnegie Mellon University after completing a Postdoctoral Fellowship at the same university. I obtained my PhD degree at King's College London, with a thesis on Extending agent languages for multiagent domains under the supervision of Professor Michael Luck and co-supervised by Professor Andrew Jones. Prior to my full-time academic career, I worked in the industry as a contractor for Hewlett-Packard Brazil, and worked on a variety of projects with some very interesting people.

For further information, visit my personal website.

Qualifications

  • PhD Artificial Intelligence 
    2009 - King's College London 

External Memberships

  • Executive Council of the AAAI
  • Special Committee on AI for the Brazilian Computer Society
  • Bridges Professor at the Pontifical Catholic University of Rio Grande do Sul

Prizes and Awards

Research

Research Overview

My overall research area is Artificial Intelligence and my research spans the areas of Automated Planning, Autonomous Agents and Applications of Machine Learning. The main goal of my research is to develop practical reasoning mechanisms as a means to both refine the capabilities of autonomous agents and to understand reasoning in general. To accomplish this objective, I work on integrating data-driven and symbolic techniques for reasoning and decision-making while maintaining a low complexity for the description formalisms, helping to achieve explainability for human users.

Research Areas

Accepting PhDs

I am currently accepting PhDs in Computing Science.

Please get in touch if you would like to discuss your research ideas further.

Computing Science

Supervising
Accepting PhDs
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Research Specialisms

  • Artificial Intelligence
  • Machine Learning

Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.

Publications

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Books and Reports

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