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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Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability
Frontiers in psychiatry, vol. 12, 598518Contributions to Journals: Articles- [ONLINE] DOI:
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A Tensor-Based Markov Decision Process Representation
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. 313–324Chapters in Books, Reports and Conference Proceedings: Chapters- [ONLINE] DOI:
Object-Based Goal Recognition Using Real-World Data
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Using Self-Attention LSTMs to Enhance Observations in Goal Recognition
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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SmartIX: A database indexing agent based on reinforcement learning
Applied Intelligence, vol. 50, no. 8, pp. 2575-2588Contributions to Journals: Articles- [ONLINE] DOI:
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Augmented Behavioral Cloning from Observation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Web Planner: A Tool to Develop, Visualize, and Test Classical Planning Domains
Knowledge Engineering Tools and Techniques for AI Planning. Vallati, M., Kitchin, D. (eds.). Springer, pp. 209-227, 19 pagesChapters in Books, Reports and Conference Proceedings: Chapters- [ONLINE] DOI:
Landmark-based approaches for goal recognition as planning
Artificial Intelligence, vol. 279, 103217Contributions to Journals: Articles- [ONLINE]
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- [OPEN ACCESS]
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Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments
ACM Transactions on Intelligent Systems and Technology, vol. 11, no. 2, 23Contributions to Journals: Articles- [ONLINE] DOI:
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BDI agent architectures: A survey
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
Energy-aware path planning for autonomous mobile robot navigation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
LatRec: Recognizing Goals in Latent Space
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
Semantic Attachments for HTN Planning
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
Automating news summarization with sentence vectors offset
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Classification of contractual conflicts via learning of semantic representations
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
ConCon: A contract conflict identifier: Demonstration
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
GADIS: A genetic algorithm for database index selection
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Landmark-enhanced heuristics for goal recognition in incomplete domain models
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
Online probabilistic goal recognition over nominal models
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Using scene context to improve action recognition
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Q-Table compression for reinforcement learning
The Knowledge Engineering Review, vol. 33, pp. 1-21Contributions to Journals: Articles- [ONLINE] DOI:
Sensor Placement for Plan Monitoring using Genetic Programming
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
- [OPEN ACCESS]
A Deep Learning Approach to Classify Aspect-Level Sentiment using Small Datasets
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
- [ONLINE]
Goal Recognition in Latent Space
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Measuring Semantic Similarity between Sentences Using A Siamese Neural Network
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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