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PF

Professor Felipe Meneguzzi

Professor

University of Aberdeen · United Kingdom
SupervisingAccepting PhDsArtificial IntelligenceMachine LearningBSc Computing ScienceUndergraduate, 4 year, September startMSc Artificial IntelligencePostgraduate, 3 semester, January startMSc Artificial IntelligencePostgraduate, 3 semester, September startArtificial Intelligence CS3033

About

School/DepartmentSchool of Natural and Computing Sciences Google ScholarPersonal WebsiteLinkedinPure 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 multiagen

Education

  • PhD Artificial Intelligence 2009 - King's College London

Selected publications

  • Multi-Agent Goal Recognition with Team- and Goal-Conditioned Reinforcement Learning and Factorized Branch-and-Bound 2026 - PublishedThomas, T., Ramos, G. d. O., Meneguzzi, F. Working Papers: Preprint Papers[OPEN ACCESS] https://abdn.elsevierpure.com/ws/files/322929353/2606.25978v1.pdf
  • [OPEN ACCESS] https://abdn.elsevierpure.com/ws/files/322929353/2606.25978v1.pdf
  • A BDI Task-oriented Agent in Belief Space 2026 - PublishedIchida, A. Y., Meneguzzi, F. ACM Transactions on Autonomous and Adaptive Systems, vol. 21, no. 2, 17Contributions to Journals: Articles[ONLINE] DOI: https://doi.org/10.1145/3770857[OPEN ACCESS] https://aura.abdn.ac.uk/bitstreams/b7ca20e1-fa09-4811-b5c6-7d4e9a10c061/download
  • [ONLINE] DOI: https://doi.org/10.1145/3770857
  • [OPEN ACCESS] https://aura.abdn.ac.uk/bitstreams/b7ca20e1-fa09-4811-b5c6-7d4e9a10c061/download
  • RAGe: A Retrieval-Augmented Generation Evaluation Framework 2026 - PublishedGuder, L., de Moura, J. P., Accorsi, A., do Amaral, G. L., Magnaguagno, M. C., Meneguzzi, F., Pinho, M. S., Griebler, D. Working Papers: Preprint Papers[OPEN ACCESS] https://abdn.elsevierpure.com/ws/files/322929744/2605.27445v1.pdf
  • [OPEN ACCESS] https://abdn.elsevierpure.com/ws/files/322929744/2605.27445v1.pdf
  • Zero-Shot Goal Recognition with Large Language Models 2026 - PublishedGusmão, K. M. P., Gavenski, N., Oren, N., Meneguzzi, F. Working Papers: Preprint Papers[OPEN ACCESS] https://abdn.elsevierpure.com/ws/files/322929660/2605.15333v1.pdf
  • [OPEN ACCESS] https://abdn.elsevierpure.com/ws/files/322929660/2605.15333v1.pdf
  • Online Goal Recognition using Path Signature and Dynamic Time Warping 2026 - PublishedTesch, D., Gavenski, N., Amado, L., Rodrigues, O., Meneguzzi, F. Working Papers: Preprint Papers[OPEN ACCESS] https://abdn.elsevierpure.com/ws/files/322929292/2605.07736v1.pdf

Data verified 9/6/2026Source

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