معرفی
Dr. Long Zhang is a Senior Lecturer in the Department of Electrical and Electronic Engineering at the University of Manchester. His research focuses on data-driven intelligence and control systems, including machine learning, neural networks, and their applications in renewable energy, robotics, and transportation. He leads the first industrial-scale wind turbine pitch bearing and blade laboratory at the university and directs the MSc program in Advanced Control and System Engineering. His work is supported by over £2.5m in research funding from EPSRC, Innovate UK, and industry partners.
Research interests include data-driven modeling, system identification, wind turbine condition monitoring, and smart device design. His group has supervised 12 PhD students, 50 MSc students, and 50 undergraduate projects. Key contributions include fault diagnosis methodologies for wind turbines and robotics, and predictive maintenance frameworks using advanced signal processing and machine learning techniques.
Recent publications highlight advancements in autonomous system fault detection, energy grid flexibility mechanisms, and wave energy converter monitoring. Dr. Zhang collaborates with interdisciplinary teams across robotics, aerospace, and digital futures, contributing to UN Sustainable Development Goals related to affordable energy and climate action.
