Chair in Computing Science
- 51cg
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- School/Department
- School of Natural and Computing Sciences




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 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
- 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
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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 , published under the licence.
- Teaching
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Programmes
- Undergraduate, 4 year, September start
- Postgraduate, 3 stage, January start
- Postgraduate, 3 semester, September start
- Undergraduate, 5 year, September start
- Undergraduate, 5 year, September start
- Undergraduate, 4 year, September start
- Undergraduate, 4 year, September start
- Publications
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Multi-Agent Intention Recognition and Progression
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
- [OPEN ACCESS]
Self-Supervised Adversarial Imitation Learning
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
- [ONLINE]
Online Goal Recognition in Discrete and Continuous Domains Using a Vectorial Representation
Working Papers: Preprint Papers- [ONLINE] DOI:
- [OPEN ACCESS]
- [ONLINE]
Robust Neuro-Symbolic Goal and Plan Recognition
Contributions to Conferences: Other Contributions- [ONLINE] DOI:
Temporally Extended Goal Recognition in Fully Observable Non-Deterministic Domain Models
Working Papers: Preprint Papers- [ONLINE] DOI:
- [OPEN ACCESS]
- [ONLINE]
Modeling a Conversational Agent using BDI Framework
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
- [OPEN ACCESS]
- [ONLINE]
Self-Supervised Adversarial Imitation Learning
Working Papers: Preprint Papers- [ONLINE] DOI:
- [OPEN ACCESS]
Resilience, reliability, and coordination in autonomous multi-agent systems
AI Communications, vol. 35, no. 4, pp. 339-356Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
HyperTensioN and Total-order Forward Decomposition optimizations
Working Papers: Preprint Papers- [OPEN ACCESS]
Goal Recognition as Reinforcement Learning
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
- [ONLINE]
