51cg

Professor Felipe Meneguzzi

Professor Felipe Meneguzzi
Professor Felipe Meneguzzi
Professor Felipe Meneguzzi

Chair in Computing Science

Accepting PhDs

51cg

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 51cg. I am a and of . 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 of after completing a Postdoctoral Fellowship at the same university. I obtained my PhD degree at , with a thesis on under the supervision of Professor and co-supervised by Professor . Prior to my full-time academic career, I worked in the industry as a contractor for , and worked on a variety of projects with some very interesting .

For further information, visit my .

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

  • in 2024;
  • ;
  • ;
  • 1st place at the () in 2020;
  • Distinguished Visiting Fellow award from the
  • Best Student paper at IJCNN 2017:
  • Visionary workshop paper at AAMAS 2017: ;
  • as well as
  • 1st place at the 
  • 2nd place at the ; and
  • Runner up to the Microsoft Research Faculty Fellowship in 2013.
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

Research Specialisms

  • Artificial Intelligence
  • Machine Learning

Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is , published under the licence.

Teaching

Programmes

Publications

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  • Energy-aware path planning for autonomous mobile robot navigation

    Maidana, R., Granada, R., Jurak, D., Magnaguagno, M., Meneguzzi, F., Amory, A.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • LatRec: Recognizing Goals in Latent Space

    Amado, L., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Semantic Attachments for HTN Planning

    Magnaguagno, M. C., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Automating news summarization with sentence vectors offset

    Steinert, M., Granada, R., Aires, J. P., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Classification of contractual conflicts via learning of semantic representations

    Aires, J. P., Granada, R., Monteiro, J., Barros, R. C., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • ConCon: A contract conflict identifier: Demonstration

    Aires, J. P., Granada, R., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • GADIS: A genetic algorithm for database index selection

    Neuhaus, P., Couto, J., Wehrmann, J., Ruiz, D. D., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Landmark-enhanced heuristics for goal recognition in incomplete domain models

    Pereira, R. F., Pereira, A. G., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Online probabilistic goal recognition over nominal models

    Pereira, R. F., Vered, M., Meneguzzi, F., Ramírez, M.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Using scene context to improve action recognition

    Monteiro, J., Granada, R., Meneguzzi, F., Barros, R. C.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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