Torch

Professor James Gilbert

Professor of Engineering

Faculty and Department

  • Faculty of Science and Engineering
  • Department of Engineering

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.

Undergraduate

Offshore Wind Energy (Level 7)

Power Electronics (Level 6)

Control Engineering (Level 5)

Analogue Electronics (Level 4)

Recent outputs

View more outputs

Journal Article

Analytical and finite-element study of optimal strain distribution in various beam shapes for energy harvesting applications

Ooi, B. L., Gilbert, J. M., & Aziz, A. R. A. (2016). Analytical and finite-element study of optimal strain distribution in various beam shapes for energy harvesting applications. Acta Mechanica Sinica, 32(4), 670-683. https://doi.org/10.1007/s10409-016-0557-3

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