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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Norm Conflict Identification using Vector Space Offsets
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Identification of autism spectrum disorder using deep learning and the ABIDE dataset
NeuroImage: Clinical, vol. 17, pp. 16-23Contributions to Journals: Articles- [ONLINE] DOI:
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Optimizing UCT for settlers of catan
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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GoCo: planning expressive commitment protocols
Autonomous Agents and Multi-Agent Systems, vol. 32, pp. 459-502Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
An operational semantics for a fragment of PRS
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Goal recognition in incomplete domain models
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
Norm identification in Jason using a bayesian approach
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Towards online goal recognition combining goal mirroring and landmarks
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
Norm conflict identification in contracts
Artificial Intelligence and Law, vol. 25, pp. 397-428Contributions to Journals: Articles- [ONLINE] DOI:
Norm Conflict Identification using Deep Learning
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
Bounded-Monitor Placement in Normative Environments
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
- [OPEN ACCESS]
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Landmark-Based Heuristics for Goal Recognition
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
- [OPEN ACCESS]
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Deep neural networks for kitchen activity recognition
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
A Deep Learning Approach for Norm Conflict Identification
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
Detecting commitment abandonment by monitoring sub-optimal steps during plan execution
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
Reinforcement Learning Applied to RTS games
Other Contributions: Other Contributions- [ONLINE]
Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
A Deep Neural Architecture for Kitchen Activity Recognition
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
A Plan Optimality Monitoring Approach to Detect Commitment Abandonment
Other Contributions: Other ContributionsApplying ontologies to the development and execution of Multi-Agent Systems
Web Intelligence, vol. 15, no. 4, pp. 291-302Contributions to Journals: Articles- [ONLINE] DOI:
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Forecasting Demand with limited information using gradient tree boosting
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
Hybrid activity and plan recognition for video streams
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
Method Composition through Operator Pattern Identification
Contributions to Conferences: Papers- [ONLINE]
Monitoring plan optimality using landmarks and domain-independent heuristics
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
Planning in a Normative System
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
