Fredson Silva de Souza Aguiar

Young Researcher

I am Brazilian student currently pursuing a M2 (second year French Master) in the program Mathematics of Data from the Math & Computer Science Graduate School at the University of Sorbonne Paris Nord, France, with the desire of further maturing my practical and theoretical perception of learning-based and data-driven methods, holding an excelence scholarship.

As part of my current formation, I currently work as a research intern under the guidance of Jerome Lacaille (Safran), developing research on automated retrieval and generation based on Large Language Models on the applicability of Machine Learning and AI for predictive maintenance in aircraft systems. I also undertook a 2-month research visit at the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU-Erlangen), to develop research on Control and Machine Learning under the advisory of Enrique Zuazua, a major reference in the field.

In 2025, I obtained a Master’s degree in Applied Mathematics and Data Science at the School of Applied Mathematics of Getulio Vargas Foundation (Brazil), carrying out studies on Optimal Control Theory. My main were Mathematical Epidemiology and Machine Learning. See my Master’s Monograph on Learning-Based MPC for Epidemic Mitigation under Uncertainty.

In 2022, I obtained a Bachelor’s degree in Applied Mathematics from the same institution, after developing research in the areas of Natural Language Processing, Knowledge Representation, Ontologies and Textual Inference. See the OpenWordnet-PT repository alongside with this paper, and the delphin-rdf python plugin, for references.

I seek the deepening of technical and personal skills through the studies and discussion of topics related to mathematics, research and education, by participating and sharing in academic events, groups and studies. I’m also early searching for PhD Positions in my areas of interest. Research interests include:

Mathematical Epidemiology
Machine Learning (ML)
Reinforcement Learning (RL)
Optimal Control Theory (OC)
Model Predictive Control (MPC)
Automation and Language Models (LLMs)

news

Jun 10, 2026	I’m excuted to share that under my leadership, the project A Stochastic Event-Generation Simulator for Dynamic Risk Assessment and Maintenance Decision Support in Aircraft Systems was recognized with The Len Gelman Award by the British Institute of Non-Destructive Testing (BINDT).
Apr 01, 2026	I have just started a new position as Research Intern at the Friedrich-Alexander-Universität Erlangen-Nürnberg as part of the Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship under the guidance of professor Enrique Zuazua, a major reference in the field; see my profile. In this position, I hope to further develop on the internconnections between the fields of Control Theory and Machine Learning.
Sep 14, 2025	This week I am participating in the 12th Heidelberg Laureate Forum Foundation in Germany! The event brings together major references and young researchers in Mathematics and Computer Science to discuss emerging topics in the field. This year, big names such as Richard Sutton and Jeffrey Dean, among other, will be participating!
Sep 01, 2025	This month I start my M2 in the program Mathematics of Data from the Math & Computer Science Graduate School at the University of Sorbonne Paris Nord, France, with the desire of further maturing my practical and theoretical perception of learning-based and data-driven methods.
Aug 01, 2025	Good news, everyone! My master’s monograph under the title “From uncontrolled to controlled predictions: a learning-based model predictive control framework with an state predictor for epidemic mitigation under dynamics and parametric uncertainty” was accepted by the board, so I’m officially a Master in Applied Mathematics and Data Science.