2025

  1. (PhD Defense) [Goal 2] Alana de Santana Correia (2025) DreamerRL: Empowering Representation Learning via Predictive World Models for Robot Manipulation Tasks. [LINK]
  2. (Master's Defense) [Goal 3] Luiz Fellipe Machi Pereira (2025) Classification of stories and textual coherence: An approach with inclusion of rhetorical and syntactic structure in language models. [LINK]
  3. (PhD Defense) [Goal 3] Wellington Viana Lobato Junior (2025) Mobility-Aware Federated Learning in Vehicle Edge Computing for Autonomous Vehicle Applications. [LINK]

2024

  1. (Master's Dissertation) [Goal 3] Nícolas Riccieri Gardin Assumpção (2024) Client Selection for Efficient, Private and Protected Training in Federated Learning. [LINK]
  2. (Master's Dissertation) [META 7] Patrick Anderson Matias de Araújo (2024) Topic Modeling Influence on Sentiment Analysis from User-Generated Product Reviews. [LINK]
  3. (Master's Dissertation) [META 7] William Ferreira da Silva Filho (2024) MAEVE: A Dataset Generating Framework for Customer Behavior Prediction in Digital Marketing. [LINK]
  4. (Master's Dissertation) [GOAL 3] Aissa Hadj Mohamed (2024) Efficient Communication in Federated Learning. [LINK]
  5. (Master's Qualification) [GOAL 4] Gustavo Pessoa Caixeta Pinto da Luz (2024) Using Deep Learning at the Edge for Occupancy Detection in Parking Lots Monitored by Cameras. [LINK]
  6. (Master's Dissertation) [GOAL 5] Jhéssica Victória Santos da Silva (2024) Evaluation of Ethics Tools in Language Models Developed in Portuguese [LINK]
  7. (Master's Dissertation) [META 1] Eduardo Yuji Sakabe (2024) Building an episode tracker module for the cognitive systems toolkit [LINK]
  8. (Master's Dissertation) [GOAL 6] Athyrson Machado Ribeiro (2024) CI-EX: Confident-Inline Extrapolation for Inference of Rejects in Financial Credit Scoring. [LINK]
  9. (Master's Dissertation) [META 6] Arthur Hendricks Mendes de Oliveira (2024) MAPOFCEM: Mining Viable Counterfactual Explanations of a Pareto-Optimal Agnostic Model. [LINK]
  10. (Master's Qualification) [Goal 7] Mariana Aparecida Ferreira (2024) Model for churn prediction based on causal graphs. [LINK]
  11. (Master's Qualification) [Goal 7] Juliano Leonardo Soares (2024) Causality in graph neural networks for recommender systems. [LINK]
  12. (Master's Qualification) [Target 7] Sadeeq Olalekan Bello (2024) Cognitive Architectures for Real-Time Churn Prediction. [LINK]
  13. (PhD Qualification) [GOAL 5] Gabriel Oliveira dos Santos (2024) Brazil in Focus: A Multimodal Large Language Model Aware of the Brazilian Context for Text Generation. [LINK]
  14. (Master's Dissertation) [GOAL 4] Darlinne Hubert Palo Soto (2024) Adapting autoencoders to reduce dimensionality and preserve information in the context of human activity recognition [LINK]
  15. (PhD Qualification) [GOAL 3] Filipe Maciel Roberto (2024) Resource-Aware Client Selection for Federated Learning [LINK]
  16. (Master's Qualification) [GOAL 3] Bruno Santos Martins (2024) Efficient Model Training in Federated Learning for Resource-Constrained Devices [LINK]
  17. (Master's Dissertation) [GOAL 3] Rómulo Walter Condori Bustincio (2024) Strategies to Reduce Communication Cost in Federated Learning: An Information Theory and Model Compression Perspective [LINK]
  18. (Master's Dissertation) [GOAL 1] Bruno Guedes da Silva (2024) Episodic memory system for intelligent agents using CST and knowledge representation [LINK]
  19. (PhD Thesis) Wandemberg Santana Pharaoh Gibaut (2024). DCT: A Tool for Building Distributed Cognitive Architectures and Developing Cognitive Twins. [LINK]

2023

  1. (PhD Qualification) [Target 2] Iury Cleveston (2023). InstructRobot: Generating Robotic Motion from Natural [LINK].
  2. (Master's Qualification) [Goal 5] Jhéssica Victória Santos da Silva (2023) Evaluation of Ethics Tools in Language Models. [LINK]
  3. (Master's Qualification) [Goal 7] Patrick Anderson Matias de Araújo (2023) Understanding Multilingual Customer Reviews via Topic-Based Sentiment Analysis. [LINK]
  4. (PhD Qualification) [Goal 7] Fillipe dos Santos Silva (2023) From Stable Clusters to Personalized Recommendations: Integrating Structured and Textual Data. [LINK]

2022

  1. (Master's Dissertation) [Goal 3] Fabio Grassiotto (2022). CogToM-CST: An implementation of Theory of Mind for the Cognitive Systems Toolkit CogToM-CST: A Computational Implementation of Theory of Mind for the Cognitive Systems Toolkit. [LINK]
  2. (Master's Qualification) [Goal 5] Luiz Fellipe Machi Pereira (2022) Language models combined with linguistic structures for generating text in Portuguese. [LINK]
  3. (PhD Qualification) [Goal 5] Diego Alysson Braga Moreira (2022) Multimodal Representation Space for Text-Driven Data Generation. [LINK]