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.

 

 

 

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