Tayenne Dias de Lima (PhD, 2023) is a Researcher at GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Polytechnic of Porto (IPP), Portugal. Her research profile focuses on optimization-based energy management under uncertainty, with particular emphasis on battery degradation modelling and its integration into decision-support solutions for sustainable energy systems. She received her PhD and MSc degrees in Electrical Engineering from São Paulo State University (UNESP), Brazil, in 2023 and 2019, respectively, both completed with the highest academic distinction, and holds a BSc degree in Electrical Engineering from Mato Grosso State University (2017). From 2017 to 2023, she was a member of the Electrical Power Systems Planning Laboratory (LaPSEE) at UNESP, participating in CNPq-funded projects on optimization methods for distribution system expansion planning. In 2019, she received the Best Paper Award in the “Computational Intelligence and Optimization Techniques” track at IEEE ISGT Latin America. During her PhD, she was awarded a CAPES PrInt internationalization scholarship and spent one year (2021–2022) as a Visiting Researcher at GECAD, Portugal. During this period, she conducted research on risk-based optimization models for power system planning and published in international journals, including IEEE Transactions venues. She also lectured a master-level module on electric vehicle charging station planning at ISEP (2022), establishing long-term collaboration with GECAD within the Portuguese–Brazilian CENERGETIC project. In 2023, she gained teaching experience at undergraduate level by lecturing the course Electrical Measurements at UNESP. In August 2024, she returned to UNESP as a Visiting Professor under the CAPES PrInt programme, delivering lectures at Master’s and PhD levels on battery degradation and energy management. Since joining GECAD as a researcher in September 2023, she has assumed increasing scientific leadership responsibilities. Within the NGS (New Generation Storage) project, she coordinates the development of battery degradation models integrated into energy management solutions. She is also Co-Principal Investigator of the Energy Builder (CET partnership) project and international leader of Work Package 2, “AI-Based Optimization of Energy Self-Sufficiency and Efficiency”. Within the SA4CPS project, she supervises two researchers. Her scientific production includes 17 peer-reviewed journal articles, 15 as first author, addressing battery ageing modelling, optimization-based energy management, and risk-based planning of power systems. She has also contributed to open science through the publication of datasets related to energy management and battery operation. She has served as Publication Chair of ICREC 2026 and as a member of the Organizing Committee of the Workshop on the Operation of Modern Distribution Systems (2021–2023), and contributed to the organization of the SEBCoVE Annual Consortium Meeting (2025) and the Final TradeRES (H2020) event (2024). She actively participates in international research networks and proposal preparation activities and has contributed to more than 12 research proposals under Horizon Europe, Eureka and national funding programmes, acting as national technical contact in several of them. She maintains strong collaboration with UNESP (Brazil) and is a member of the RIBIERSE CYTED network on large-scale renewable energy integration, as well as an IEEE member affiliated with the Power and Energy Society and IEEE Young Professionals. Her current research focuses on optimization methods for energy systems, planning and operation of electrical power networks, and battery degradation modelling, with emphasis on second-life battery applications and circular economy strategies.