Projects per year
Personal profile
Research Interests
Dr Lara Harris is a Research Fellow in Digital Twin Measurement Systems at the Institute for Advanced Manufacturing and Engineering (AME), Coventry University. Her research interests are in the design of datasets and data acquisition systems to support development of digital twins, with a current focus on novel vehicle applications. Data management, verification and quality assessment are closely related topics in her work, especially in the context of measurement from heterogeneous sensor networks.
Lara is leading Coventry's measurement system strategy and implementation on the APC19 CLEAN project (Clean Logistics for Emerging African Nations).
Biography
Lara has a background in challenge-led research and was previously an Industry Collaboration Fellow in the UKAS-accredited Acoustics Laboratories at the University of Salford. Here she designed and conducted research for commercial clients, and made a substantial contribution to the calibration team's successful application to become the UK’s first designated measurement institute in a decade – the National Institute for Airborne Acoustic Metrology.
Before returning to academia, she worked as an engineer in the automotive and industrial safety sectors. Her roles spanned a wide range of responsibilities across commercial R&D and product delivery, contributing to products at every stage from conception through to production. She worked closely with suppliers and manufacturing teams, developing a particular interest in the quality impacts of process measurement and control.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Power electronics Upscale for Localisation and Sustainable Electrification
Kauffman, M. (Principal Investigator), Harris, L. (Research Assistant), Long, T. (Research Assistant), Cobley, A. (Co-Investigator), Spooner, S. (Co-Investigator), Turley, G. (Co-Investigator) & Azar, G. (Researcher)
1/10/24 → 31/03/27
Project: Research
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CLEAN: Clean Logistics For Emerging African Nations
Kauffman, M. (Principal Investigator), Harris, L. (Research Fellow) & Long, T. (Research Fellow)
1/06/22 → 31/08/24
Project: Research
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Audio augmentation of car journeys to improve occupants' well-being
Podwinska, Z., Harris, L., Jackson, A., Welham, C. & Elliott, A., 1 Feb 2023, INTER-NOISE and NOISE-CON Congress and Conference Proceedings. Institute of Noise Control Engineering, p. 5971-5980 10 p. (INTER-NOISE and NOISE-CON Congress and Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
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Generation and Analysis of Artificial Warning Sounds for Electric Scooters
Martinez, A. J. T., Elliott, A., Harris, L., Podwinska, Z. & Welham, C., 1 Feb 2023, INTER-NOISE and NOISE-CON Congress and Conference Proceedings. Institute of Noise Control Engineering, p. 977-987 11 p. (INTER-NOISE and NOISE-CON Congress and Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
1 Citation (Scopus) -
On the Utilization of Fuzzy Rule-Based Systems for Productivity Estimations in Aircraft Final Assembly Lines
Long, T., Wang, Z., Harris, L., Anbalagan, A. & Zhang, J., 2023, 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023. IEEE, p. 1-6 6 p. (IEEE International Conference on Automation Science and Engineering (CASE)).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
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Predicting Speech Intelligibility for People with a Hearing Loss: The Clarity Challenges
Cox, T., Akeroyd, M., Barker, J., Culling, J., Firth, J., Graetzer, S., Griffiths, H., Harris, L., Munoz, R. V., Naylor, G., Podwinska, Z. & Porter, E., 1 Feb 2023, INTER-NOISE and NOISE-CON Congress and Conference Proceedings. Institute of Noise Control Engineering, p. 4599-4606 8 p. (INTER-NOISE and NOISE-CON Congress and Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
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Improving the measurement and acoustic performance of transparent face masks and shields
Cox, T. J., Dodgson, G., Harris, L., Perugia, E., Stone, M. A. & Walsh, M., 1 May 2022, In: The Journal of the Acoustical Society of America. 151, 5, p. 2931–2944 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Citations (Scopus)73 Downloads (Pure)
Datasets
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Making Sense Of Sounds: Data for the machine learning challenge 2018
Harris, L. (Creator) & Bones, O. (Creator), University of Salford, 29 Nov 2018
DOI: 10.17866/rd.salford.6901475.v4
Dataset
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Improving the measurement and acoustic performance of transparent face masks and shields
Cox, T. J. (Creator), Dodgson, G. (Contributor), Harris, L. (Contributor), Perugia, E. (Contributor), Stone, M. A. (Contributor) & Walsh, M. (Contributor), University of Salford, 15 Feb 2022
DOI: 10.17866/rd.salford.19174235.v1
Dataset
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Digital Twin Templates for Intellectual Property Identification and Valuation in Manufacturing
Kauffman, M. (Owner), Long, T. (Creator) & Harris, L. (Data Manager), Coventry University, 13 Nov 2024
DOI: 10.57955/d9a53eab-aa03-4053-9142-90b9e751fbec
Dataset