Summary
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.
Journal Article
A silent speech system based on permanent magnet articulography and direct synthesis
Gonzalez, J. A., Cheah, L. A., Gilbert, J. M., Bai, J., Ell, S. R., Green, P. D., & Moore, R. K. (2016). A silent speech system based on permanent magnet articulography and direct synthesis. Computer speech & language, 39, 67-87. https://doi.org/10.1016/j.csl.2016.02.002
Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics
Gilbert, J. M., Gonzalez, J. A., Cheah, L. A., Ell, S. R., Green, P., Moore, R. K., & Holdsworth, E. (2017). Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics. The Journal of the Acoustical Society of America, 141(3), EL307-EL313. https://doi.org/10.1121/1.4978364
Nonlinear Modeling and Verification of a Heaving Point Absorber for Wave Energy Conversion
Guo, B., Patton, R., Jin, S., Gilbert, J., & Parsons, D. (2017). Nonlinear Modeling and Verification of a Heaving Point Absorber for Wave Energy Conversion. IEEE Transactions on Sustainable Energy, 9(1), 453-461. https://doi.org/10.1109/tste.2017.2741341
Direct Speech Reconstruction from Articulatory Sensor Data by Machine Learning
Gonzalez, J. A., Cheah, L. A., Gomez, A. M., Green, P. D., Gilbert, J. M., Ell, S. R., …Holdsworth, E. (2017). Direct Speech Reconstruction from Articulatory Sensor Data by Machine Learning. IEEE/ACM transactions on audio, speech, and language processing, 25(12), 2362-2374. https://doi.org/10.1109/TASLP.2017.2757263
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
Project
Funder
Grant
Started
Status
Project
Prosperity Partnerships: EPSRC, Business and Universities
Funder
EPSRC Engineering & Physical Sciences Research Council
Grant
£552,597.00
Started
1 November 2017
Status
Ongoing
Project
Project Aura: Visiting Appointments and Post-Graduate Placements
Funder
HCC Hull City Council
Grant
£50,000.00
Started
11 January 2017
Status
Complete
Project
Speech Rehabilitation from Articulator Movement (SRAM)
Funder
NIHR National Institute for Health Research
Grant
£243,973.00
Started
1 January 2016
Status
Complete
Project
Supergen Hub 2017 - Offshore Renewable Energy (ORE)
Funder
EPSRC Engineering & Physical Sciences Research Council
Grant
£523,069.00
Started
1 July 2018
Status
Ongoing
Postgraduate supervision
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