Jérôme Amaro Pires Mendes

 

Post-Doctoral Researcher
Computational Intelligence Group
Institute of Systems and Robotics,
University of Coimbra, Portugal.

Short Bio

I received my M.Sc. degrees in Electrical and Computer Engineering (Automation branch) from the University of Coimbra in 2009, and Ph.D. degrees in Electrical and Computer Engineering from the University of Coimbra in 2014, with the subject “Computational Intelligence Methodologies for Control of Industrial Processes”.

From 2009, I have been researcher and team member in several R&D projects, for more details please check my Previous research and Current projects pages for more details. Now, I am a Postdoctoral researcher on Computational Intelligence Group at Institute of Systems and Robotics (ISR) in Coimbra, Portugal.

Check out my Publications page or my Google Scholar page or my Linkedin for more info about my CV.

Interests and Current Research (but not limited to)

Computational intelligence methodologies for:

  • intelligent control for industrial processes;

  • intelligent identification for industrial processes;

  • failure detection and predictive maintenance;

  • automatic decision making;

  • evolving systems for control and identification;

  • design of interpretable processes models and controllers for experts operators;

  • auto-tuning of industrial processes/machines;

  • optimization problems.

News

  • New paper - The paper “Self-tuning pid controllers in pursuit of plug and play capacity” was accepted in Control Engineering Practice, check my Publications page for more details.

  • New paper - The paper “Online Evolving Fuzzy Control Design: An Application to a CSTR Plant” was accepted in IEEE International Conference on Industrial Informatics (INDIN 2017), check my Publications page for more details.

  • New paper - The paper “A Novel Robust Control Scheme for LTV Systems Using Output Integral Discrete-Time Synergetic Control Theory” was accepted in European Journal of Control, check my Publications page for more details.

  • New paper - The paper “Online Identification of Takagi–Sugeno Fuzzy Models Based on Self-Adaptive Hierarchical Particle Swarm Optimization Algorithm” was accepted in Applied Mathematical Modelling, check my Publications page for more details.

  • New project - A new research project had started KhronoSim - System for Simulation and Test of Complex Systems, check my Current research for more project info.

Contact

Email: jermendes@isr.uc.pt