Research project

IN-NOVA - MSCA Doctoral Network

Project overview

IN-NOVA is an MSCA Doctoral Network supported by Horizon Europe, with the UK institutes funded by the UKRI. The network focuses on the active reduction of noise transmitted into and from enclosures through encapsulated structures. This covers a broad range of applications, from home applianes, to aircraft, to automotive. At Southampton, we will host two doctoral projects as part of the consortium and they will focus on headtracking for local active noise control and the use of directional microphone arrays for remote microphone virtual sensing.

The main goal of the IN-NOVA project is to develop the noise-reducing methods by training 13 DCs (10 MSCA Fellows + 3 DCs funded by UK) through intersectoral, multidisciplinary and international joint research in engineering, acoustics and material science, in both academia (universities and research centres) and industry.
Scientific objectives of IN-NOVA project are based on a precisely targeted dual noise problem, related to the transmission of noise into and from enclosures through encapsulated structures that concern a vast majority of the population and this can be divided into the two key objectives:
1. Develop comprehensive noise-reducing casing solutions that globally control the excessive noise generated and radiated by industrial devices and household appliances, whilst consuming much less energy, sensors and actuators than classical ANC systems. This is referred to as the in-out problem.
2. Develop versatile active/passive control techniques for the reduction of noise transmission into enclosures, as represented by vehicle and aircraft cabins. This is referred to as the out-in problem

Staff

Lead researchers

Professor Jordan Cheer BMus (Tonmeister), MSc, PhD, CEng, MIMechE, FHEA

Professor

Research interests

  • Active Noise Control
  • Active Vibration Control
  • Smart Structures for Noise and Vibration Control
Connect with Jordan

Collaborating research institutes, centres and groups

Research outputs