Acoustics

Jonathan Hargreaves

Jonathan was awarded an MEng in Engineering & Computing Science from the University of Oxford in 2000 and a PhD in Acoustic Engineering from the University of Salford in 2007, where he remains as a post-doctoral Research Fellow. The title of his PhD thesis was “Time Domain Boundary Element Methods for Room Acoustics” and this remains one of his active research areas. At present he is Researcher Co-Investigator on an EPSRC funded project in partnership with the University of Reading, Arup Acoustics and BBC Audio R&D. This aims to develop improved acoustic modelling software, which properly includes wave phenomena, and couple it to audio hardware, enabling the sound of buildings to be experienced before they are constructed or long after they are lost. Jonathan has had the pleasure of being involved in a wide variety of public engagement activities, including a number of TV appearances, and is passionate about performing, engineering and enjoying live music.

Seminar: Journeys in Unconventional Computing for Music

On Wednesday 1st December we have Dr Ed Braund of the South West Creative Technology Network coming to speak to us on his Journeys in Unconventional Computing for Music. Think music, think computing, think slime! Please note the later than usual start time of 14:30. Click here to join the meeting. Bio/abstract: Dr Ed Braund is […]

Seminar: Adding Intelligence to Professional Audio Products

On Wed 24th Nov we had a presentation from two Salford alumni on use of Machine Learning within Professional Audio Products, such as their flagship Midas Heritage-D HD96 console (pictured below). This seminar was recorded and you can watch it back at https://youtu.be/IxEfSQLaueY and hear more about how they use this powerful technique. Adding Intelligence to […]

Seminar: How Machine Learning is making its way into Computational Acoustics

This seminar took place on Wednesday 17th November at 12:30 UK Time. It was recorded and you can find a video of it on YouTube at https://youtu.be/MyDo6gF1TMA. For this seminar we are fortunate to have Dr Antonio Stanziola from the Biomedical Ultrasound Group of UCL coming to talk to us about the potential for using machine learning […]