Students
If you want to do your final project or Master thesis in Artificial Intelligence, Reservoir Computing and related applications (or in Machine learning/Neural networks), please feel free to contact me.
CURRENT STUDENTS
PhD thesis co-supervision
- Jean P. Jordanou. "Data-driven Modeling and Control of Large Scale Systems", 2020 - Present.
Master thesis supervision
- Gustavo Claudio Karl Couto. "Aprendizagem por Imitação para Condução Autônoma Segura de Automóveis". 2020 - Present.
- Irving Giovani. "Aprendizado eficiente para problemas de aprendizado por reforço de alta dimensionalidade". 2020 - Present.
- Rafael Toledo. "Normalização de imagens através de técnicas de aprendizado de máquina". 2020 - Present.
Master thesis co-supervision
- Robson F. S. Junior. "Redes Neurais Consistentes com Leis Físicas: Modelagem e Controle de EADs". 2020 - Present.
- João Gabriel Zago. "Formal Verification of Deep Neural Networks". 2020 - Present.
FORMER STUDENTS
Mentoring & Collaboration
- Ph.D student: Manxing Du, SnT, University of Luxembourg. "Reinforcement learning for Real-time Bidding in display advertising". 2017 - 2018.
- Ph.D student: Yuantao Fan, Halmstad University, Sweden. "Echo State Networks as models for deviation detection with application to predictive maintainance of fleets". 2016 - 2017.
Master thesis co-supervisions
- Iver Osnes. Recurrent Neural Networks and Nonlinear Model-based Predictive Control of an Oil Well with ESP (co-orientador). 2020.
- Sondre Bø Hernes. Recurrent Neural Networks and Practical NMPC of an Oil Well with ESP (co-orientador). 2020.
- Jean P. Jordanou. "Recurrent Neural Network Control of Risers and Oil Wells", 2019.
- Ken Caluwaerts. "Design of a biologically inspired navigation system for the Psikharpax rodent robot", 2010.
- Dries Van Puymbroeck. "Robot Navigation and Localization using Reservoir Computing", 2009.
- Tim Waegeman. "Modeling Multiple Behaviors with Reservoir Computing for Autonomous Mobile Robots", 2009.
- Karel Braeckman. "Localization of a mobile robot using Reservoir Computing", 2008.
- Stijn Adam. "Reservoir Computing for robotics", 2008.
Undergraduate students
- Laíza Milena Scheid Parizotto. Cone Detection with Convolutional Neural Networks for an Autonomous Formula SAE Race Car. 2020.
- Amanda Furtado Brinhosa. "Estruturação automática de laudos médicos utilizando processamento de linguagem natural e aprendizado de máquina para extração de informações clínicas". 2020.
- Eduardo Rehbein. Physics informed neural networks (co-orientador), 2020.
- Augusto Luiz Greuel. "Assistente virtual do tipo chatbot para gerenciamento de eventos em uma infra-estrutura de TI:". 2020.
- Maria Fernanda Dias Portella, "Geração de laudos médicos por reconhecimento de fala". 2020.
- Jean P. Jordanou. "Recurrent Neural Network Based Control for Risers and Oil Wells", 2017.
- Marcelo Menezes Morato. "Controle um de Pêndulo Duplo Invertido com Redes de Estados de Eco", 2015.