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

Page 4 of 9 Results 76 to 100 of 215

  • Norm Conflict Identification using Vector Space Offsets

    Aires, J. P., Monteiro, J., Granada, R., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Identification of autism spectrum disorder using deep learning and the ABIDE dataset

    Heinsfeld, A. S., Franco, A. R., Craddock, R. C., Buchweitz, A., Meneguzzi, F.
    NeuroImage: Clinical, vol. 17, pp. 16-23
    Contributions to Journals: Articles
  • Optimizing UCT for settlers of catan

    De Arruda Rubin De Lima, G., Fortes Paz, B., Rech Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • GoCo: planning expressive commitment protocols

    Meneguzzi, F., Magnaguagno, M. C., Singh, M. P., Telang, P. R., Yorke-Smith, N.
    Autonomous Agents and Multi-Agent Systems, vol. 32, pp. 459-502
    Contributions to Journals: Articles
  • An operational semantics for a fragment of PRS

    De Silva, L., Meneguzzi, F., Logan, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Goal recognition in incomplete domain models

    Pereira, R. F., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Norm identification in Jason using a bayesian approach

    Krzisch, G., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Towards online goal recognition combining goal mirroring and landmarks

    Vered, M., Pereira, R. F., Magnaguagno, M. C., Kaminka, G. A., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Norm conflict identification in contracts

    Aires, J. P., Pinheiro, D., Lima, V. S. d., Meneguzzi, F.
    Artificial Intelligence and Law, vol. 25, pp. 397-428
    Contributions to Journals: Articles
  • Norm Conflict Identification using Deep Learning

    Aires, J. P., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Bounded-Monitor Placement in Normative Environments

    Krzisch, G., Oren, N., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Landmark-Based Heuristics for Goal Recognition

    Pereira, R. F., Oren, N., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Deep neural networks for kitchen activity recognition

    Monteiro, J., Granada, R., Barros, R. C., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • A Deep Learning Approach for Norm Conflict Identification

    Aires, J. P., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Detecting commitment abandonment by monitoring sub-optimal steps during plan execution

    Pereira, R. F., Oren, N., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Reinforcement Learning Applied to RTS games

    Amado, L. R., Meneguzzi, F.
    Other Contributions: Other Contributions
  • Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks

    Monteiro, J., Aires, J. P., Granada, R., Barros, R. C., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • A Deep Neural Architecture for Kitchen Activity Recognition

    Granada, R., Monteiro, J., Barros, R. C., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • A Plan Optimality Monitoring Approach to Detect Commitment Abandonment

    Meneguzzi, F.
    Other Contributions: Other Contributions
  • Applying ontologies to the development and execution of Multi-Agent Systems

    Freitas, A., Panisson, A. R., Hilgert, L., Meneguzzi, F., Vieira, R., Bordini, R. H.
    Web Intelligence, vol. 15, no. 4, pp. 291-302
    Contributions to Journals: Articles
  • Forecasting Demand with limited information using gradient tree boosting

    Chang, S., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Hybrid activity and plan recognition for video streams

    Granada, R., Pereira, R. F., Monteiro, J., Ruiz, D., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Method Composition through Operator Pattern Identification

    Meneguzzi, F., Magnaguagno, M. C.
    Contributions to Conferences: Papers
  • Monitoring plan optimality using landmarks and domain-independent heuristics

    Pereira, R. F., Oren, N., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Planning in a Normative System

    Krzisch, G., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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