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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  • Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability

    Ballester, P. L., da Silva, L. T., Marcon, M., Esper, N. B., Frey, B. N., Buchweitz, A., Meneguzzi, F.
    Frontiers in psychiatry, vol. 12, 598518
    Contributions to Journals: Articles
  • A Tensor-Based Markov Decision Process Representation

    Kuinchtner, D., Meneguzzi, F., Sales, A.
    Advances in Soft Computing.: 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, October 12–17, 2020, Proceedings, Part I. Springer, pp. 313–324
    Chapters in Books, Reports and Conference Proceedings: Chapters
  • Object-Based Goal Recognition Using Real-World Data

    Granada, R., Monteiro, J., Gavenski, N., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Using Self-Attention LSTMs to Enhance Observations in Goal Recognition

    Amado, L., Paludo Licks, G., Marcon, M., Fraga Pereira, R., Meneguzzi, F.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • SmartIX: A database indexing agent based on reinforcement learning

    Paludo Licks, G., Colleoni Couto, J., de Fátima Miehe, P., de Paris, R., Dubugras Ruiz, D., Meneguzzi, F.
    Applied Intelligence, vol. 50, no. 8, pp. 2575-2588
    Contributions to Journals: Articles
  • Augmented Behavioral Cloning from Observation

    Monteiro, J., Gavenski, N., Granada, R., Meneguzzi, F., Barros, R.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Web Planner: A Tool to Develop, Visualize, and Test Classical Planning Domains

    Magnaguagno, M. C., Pereira, R. F., Móre, M. D., Meneguzzi, F.
    Knowledge Engineering Tools and Techniques for AI Planning. Vallati, M., Kitchin, D. (eds.). Springer, pp. 209-227, 19 pages
    Chapters in Books, Reports and Conference Proceedings: Chapters
  • Landmark-based approaches for goal recognition as planning

    Pereira, R. F., Oren, N., Meneguzzi, F.
    Artificial Intelligence, vol. 279, 103217
    Contributions to Journals: Articles
  • Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments

    Pereira, R. F., Oren, N., Meneguzzi, F.
    ACM Transactions on Intelligent Systems and Technology, vol. 11, no. 2, 23
    Contributions to Journals: Articles
  • BDI agent architectures: A survey

    de Silva, L., Meneguzzi, F., Logan, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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