![Professor Felipe Meneguzzi Professor Felipe Meneguzzi](/img/200x200/staffpages/uploads/s09fm1/avatar/0SmsGCd23nHsJaZmKwKUdPjQtBnf1PisfQN8FwrT.jpeg)
Chair in Computing Science
- About
-
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 multiagent domains under the supervision of Professor Michael Luck and co-supervised by Professor Andrew Jones. Prior to my full-time academic career, I worked in the industry as a contractor for Hewlett-Packard Brazil, and worked on a variety of projects with some very interesting people.
For further information, visit my personal website.
Qualifications
- PhD Artificial Intelligence2009 - 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
- Best SPC member award from AAMAS 2021;
- 1st place at the International Planning Competition (IPC) in 2020;
- Distinguished Visiting Fellow award from the Scottish Informatics and Computer Science Alliance (SICSA);
- Best Student paper at IJCNN 2017: An Application to Support Visually-Impaired People through Deep Convolutional Neural Networks;
- Visionary workshop paper at AAMAS 2017: Norm Conflict Identification Using Deep Learning;
- Google Research Award for Latin America in 2016 as well as in 2019;
- 1st place at the 2016 Multi-Agent Programming Contest;
- 2nd place at the 2016 Predictive Analytics in Mental Health Competition (PAC); 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.
Research Specialisms
- Artificial Intelligence
- Machine Learning
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.
- Publications
-
Page 10 of 20 Results 91 to 100 of 195
An Ontology-Based Mobile Application for Task Managing in Collaborative Groups.
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsDOVETAIL - An abstraction for classical planning using a visual metaphor
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] View publication in Scopus
Evaluating the SBR Algorithm Using Automatically Generated Plan Libraries
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/BRACIS.2016.046
Interfacing Belief-Desire-Intention Agent Systems with Geometric Reasoning for Robotics and Manufacturing
Service Orientation in Holonic and Multi-Agent Manufacturing. Springer, pp. 179-188, 10 pagesChapters in Books, Reports and Conference Proceedings: Chapters- [ONLINE] DOI: https://doi.org/10.1007/978-3-319-30337-6_17
Landmark-based approaches for plan recognition tasks
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsTowards integrating ontologies in multi-agent programming platforms
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/WI-IAT.2015.207
Distributed Fault Diagnostic for Multiple Mobile Robots Using an Agent Programming Language
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsBDI reasoning with normative considerations
Engineering Applications of Artificial Intelligence, vol. 43, pp. 127-146Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1016/j.engappai.2015.04.011
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/6295/1/nubdi_elsevier.pdf
Monitoring compliance with E-contracts and norms
Artificial Intelligence and Law, vol. 23, no. 2, pp. 161-196Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1007/s10506-015-9167-9
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/6046/1/JournalMonitoring3.pdf
A Bayesian Approach to Norm Identification
Contributions to Conferences: Posters