Professor James Gilbert
| Post Nominals | PhD CEng |
|---|---|
| Biography | In 30 years of research, Professor James Gilbert has tackled a wide range of challenges with a common theme of measuring, modelling and controlling engineering systems. These include robotics and manufacturing systems, medical rehabilitation and energy harvesting systems ranging from microwatts generated from human movement to megawatts from offshore wind turbines. Recent work focused on speech restoration using articulator movement measurements for people who have had a laryngectomy. Current work is primarily focused on sensing and measurement in offshore renewable energy systems, particularly offshore wind. He is the Research, Development and Innovation lead for Aura, a collaboration between Siemens Gamesa Renewable Energy, Ørsted, University of Sheffield, Durham University and the Offshore Renewable Energy Catapult. He is Hull PI on the £7.6M EPSRC Prosperity Partnership ‘A New Partnership in Offshore Wind’ (EP/R004900/1, 2017-2022) and the £9M EPSRC Supergen ORE Hub (EP/S000747/1, 2018 – 2022). He leads industry interaction for the EPSRC/NERC funded CDT in Offshore Wind and the Environment (EP/S023763/1, 2019 – 2027) and is UoH lead for the Operations and Maintenance Centre of Excellence, a £2M collaboration between UoH and the Offshore Renewable Energy Catapult. |
| Research Interests | Offshore renewable energy systems including: Monitoring and optimisation of manufacturing processes Measurement systems for offshore wind turbine performance and reliability optimisation Operations and maintenance in offshore wind systems |
| Teaching and Learning | Offshore Wind Energy (Level 7) Power Electronics (Level 6) Control Engineering (Level 5) Analogue Electronics (Level 4) |
| Scopus Author ID | 7401452507 |
| PhD Supervision Availability | Yes |
| PhD Topics | Prof Gilbert welcomes applications form well-qualified students in instrumentation, modelling and control applied to offshore renewable energy systems. Recent Completed PhDs - Nonlinear Energy Harvesting for medical sensing applications - Multi input footfall energy harvesting - Vibration based energy harvesting - The Design and Control of a Mechanical Multi-Mode Drive - The design and control of mechanical switched mode drives |