Gabriel Da Silva Lima
gdasil@utu.fi +358 29 450 2186 +358 50 343 7230 ORCID identifier: https://orcid.org/0000-0001-6615-078X |
Areas of expertise
Nonlinear control; Intelligent control; machine learning; Gaussian Process Regression; Artificial Neural Networks; Control of mechatronic systems.
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 Refereed original research article in a scientific journal) - (2024)
- Scientific Reports
(A1 Refereed original research article in a scientific journal) - In Silico Application of the Epsilon-Greedy Algorithm for Frequency Optimization of Electrical Neurostimulation for Hypersynchronous Disorders2024
- Communications in Computer and Information Science
(A4 Refereed article in a conference publication ) - Accurate trajectory tracking control with adaptive neural networks for omnidirectional mobile robots subject to unmodeled dynamics2023
- Journal of the Brazilian Society of Mechanical Sciences and Engineering
(A1 Refereed original research article in a scientific journal) - Intelligent control of cardiac rhythms using artificial neural networks (2023)
- Nonlinear Dynamics
(A1 Refereed original research article in a scientific journal) - 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 Refereed original research article in a scientific journal) - Sliding Mode Control with Gaussian Process Regression for Underactuated Mechanical Systems (2022)
- IEEE Latin America Transactions
(A1 Refereed original research article in a scientific journal) - Sliding Mode Control with Gaussian Process Regression for Underwater Robots (2020)
- Journal of Intelligent and Robotic Systems
(A1 Refereed original research article in a scientific journal)