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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  • You Can Go First: Planning For Social Law Synthesis In Asymmetric Multi-Agent Settings

    Sreedharan, S., Hopkins, P., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Sentence representations for semantic textual similarity: A systematic review

    Guder, L., Aires, J. P., da Silva, H. U., Meneguzzi, F., Griebler, D.
    Computer Speech & Language, vol. 100, 101970
    Contributions to Journals: Articles
  • Beyond Mimicry: Toward Lifelong Adaptability in Imitation Learning

    Gavenski, N., Meneguzzi, F., Rodrigues, O.
    Working Papers: Preprint Papers
  • Grail: Goal Recognition Alignment through Imitation Learning

    Elhadad, O., Meneguzzi, F., Mirsky, R.
    Working Papers: Preprint Papers
  • Landmark Generation in HTN Planning, Revisited

    Putrich, V. S., Meneguzzi, F., Pereira, A. G.
    Contributions to Journals: Conference Articles
  • Generalised BDI Planning

    Meneguzzi, F., Pereira, R. F., Oren, N.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Hypertension and total-order forward decomposition optimizations

    CecĂ­lio Magnaguagno, M., Meneguzzi, F., de Silva, L.
    Autonomous Agents and Multi-Agent Systems, vol. 39, 24
    Contributions to Journals: Articles
  • Automated Planning for Optimal Data Pipeline Instantiation

    Amado, L. R., Vogel, A., Griebler, D., Licks, G. P., Simon, E., Meneguzzi, F.
    Working Papers: Preprint Papers
  • Intention Recognition in Real-Time Interactive Navigation Maps

    Zhao, P., Arefin, Z., Meneguzzi, F., Pereira, R. F.
    Working Papers: Preprint Papers
  • Explorative Imitation Learning: A Path Signature Approach for Continuous Environments

    Gavenski, N., Monteiro, J., Meneguzzi, F., Luck, M., Rodrigues, O.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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