Canterbury Christ Church university, United KingdomPhD Researcher
Nov. 2021Developed and applied innovative machine learning algorithms for SOC estimation, directly contributing to
advancements in battery management and sustainable energy solutions.
• Investigated the application of machine learning techniques, including deep learning models, to enhance SOC
estimation accuracy and reliability, with a focus on second-life battery systems.
• Published research findings in peer-reviewed journals on sustainable energy solutions.
• Presented research findings at conferences, demonstrating expertise in battery SOC estimation and machine
learning applications in the energy sector.
International Research Collaboration
• Collaborated with leading universities and research institutions on projects related to renewable energy and
sustainable development.
• Contributed as a data analyst and researcher in a multidisciplinary team focused on analysing PV generation
data and optimizing solar energy systems.
• Leveraged advanced data analytics techniques to extract insights and trends from multiple large-scale PV
generation datasets, informing decision-making and improving system performan