Prof Antonio Torija Martinez A.J.TorijaMartinez@salford.ac.uk
Professor
Prof Antonio Torija Martinez A.J.TorijaMartinez@salford.ac.uk
Professor
Dr Olga Umnova
To develop a rapid and easy-to-use conceptual toolset to predict and analyse the noise signature of electric ducted fans; leading to the design and manufacture a new generation of quieter and zero-carbon electric jet engines to power drones
Type of Project | Research Grant |
---|---|
Status | Project Live |
Funder(s) | Innovate UK |
Value | £252,020.00 |
Project Dates | Sep 4, 2023 - Mar 3, 2025 |
KTP with RH Environmental Ltd Nov 1, 2021 - Apr 30, 2024
To develop a world first ‘intelligent sound level meter’ and new digital services, combining acoustics and machine learning expertise to further develop RHE’s pioneering “Noise App”
UK Acoustics Network + (UKAN+) Nov 1, 2020 - Jun 30, 2025
IPhD with GL Industrial Services UK Limited Oct 1, 2023 - Sep 30, 2027
REFMAP Feb 1, 2023 - Jan 31, 2026
Impact and capacity Assessment Framework for U-space Societal Acceptance (ImAFUSA) Sep 1, 2023 - Feb 28, 2026
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
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