Dr. Isabel Jesus
Institute of Engineering of Porto (ISEP), Portugal
Biography
My name is Isabel Jesus, and I am a Coordinating Professor in the Department of Electrical Engineering at the Institute of Engineering of Porto (ISEP), Polytechnic of Porto (IPP), where I am also a researcher with GECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and Developments. I earned my PhD in Electrical Engineering from the University of Trás-os-Montes and Alto Douro, Portugal, in 2007.
My research focuses on fractional-order systems, dynamical modelling and control, fuzzy control systems, evolutionary computing, including genetic algorithms and particle swarm optimization, and artificial intelligence. Throughout my academic career, I have dedicated my work to advancing intelligent control techniques and their applications in engineering, particularly in heat diffusion systems, power electronics, and electrical systems.
I have authored and co-authored numerous scientific publications in internationally recognized journals and conference proceedings. Among my representative works are On the Fractional Order Control of Heat Systems (2008), Fractional Electrical Impedances in Botanical Elements (2008), Fractional Control of Heat Diffusion Systems (2008), and Development of Fractional Order Capacitors Based on Electrolyte Processes (2009). More recently, I co-authored Analysis of a Traditional and a Fuzzy Logic Enhanced Perturb and Observe Algorithm for the MPPT of a Photovoltaic System, published in Algorithms (MDPI) in 2021, and Robust Control of Heat Diffusion Systems with Time Delay Using Fuzzy Logic and Model-Based Compensation, published in Algorithms (MDPI) in 2025. These works reflect my continued interest in intelligent control, renewable energy systems, and advanced computational methods.
In addition to my research contributions, I have served as Guest Editor for several international special issues, including Heat Diffusion: Dynamical Modelling, Control (Energies, MDPI, 2020–2021), Algorithms for PID Controller (Algorithms, MDPI, 2021–2022), Control and Optimization of Electrical Systems (Energies, MDPI, 2022–2023), Application of Advanced Control Theories to Power Electronics and Power Systems (Energies, MDPI, 2023–2024), and Recent Advances in Algorithms for Control and Their Applications (AIMS Mathematics, 2024–2026). Through these editorial roles, I have contributed to promoting high-quality research and fostering collaboration within the international scientific community.
My academic and research career has been driven by a commitment to developing innovative control methodologies and intelligent computational techniques that address complex engineering challenges. I continue to collaborate with researchers worldwide, supervise students, and contribute to the advancement of electrical engineering through research, teaching, and scientific leadership.