Gabriel
Da Silva Lima
Postdoctoral Researcher, Mechanical Engineering
Contact
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Areas of expertise
Nonlinear control
Intelligent control
machine learning
Gaussian Process Regression
Artificial Neural Networks
Control of mechatronic systems.
Biography
PhD in Electrical and Computer Engineering, Master's in Mechanical Engineering from UFRN (Federal University of Rio Grande do Norte), and Bachelor's degrees in Mechanical Engineering and in Science and Technology with a focus on Mechanical Technology (UFRN). I am currently a postdoctoral researcher in the Smart Systems Research Group at the University of Turku. My main areas of expertise include Intelligent Control, Robotics and Autonomous Systems, Machine Learning, Control of Biological Systems, and the Analysis of Mechanical/Mechatronic Systems.
Publications
Intelligent Control to Suppress Epileptic Seizures in the Amygdala: In Silico Investigation Using a Network of Izhikevich Neurons (2025)
IEEE Transactions on Neural Systems and Rehabilitation Engineering
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
In Silico Application of the Epsilon-Greedy Algorithm for Frequency Optimization of Electrical Neurostimulation for Hypersynchronous Disorders (2024)
Latin American Workshop on Computational Neuroscience, Communications in Computer and Information Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Adaptive control of cardiac rhythms (2024)
Scientific Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Accurate trajectory tracking control with adaptive neural networks for omnidirectional mobile robots subject to unmodeled dynamics (2023)
Journal of the Brazilian Society of Mechanical Sciences and Engineering
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Intelligent control of cardiac rhythms using artificial neural networks (2023)
Nonlinear Dynamics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Sliding Mode Control with Gaussian Process Regression for Underactuated Mechanical Systems (2022)
IEEE Latin America Transactions
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Intelligent Control of Seizure-Like Activity in a Memristive Neuromorphic Circuit based on the Hodgkin-Huxley Model (2022)
Journal of Low Power Electronics and Applications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Sliding Mode Control with Gaussian Process Regression for Underwater Robots (2020)
Journal of Intelligent and Robotic Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )