The acoustics industry contributes £4.6 billion to the UK's economy annually, employing more than 16,000 people, each generating over £65,000 in gross value added across over 750 companies nationwide. The productivity of acoustics industry is similar to that of other enabling technologies, for example the UK photonics industry (£62k per employee in 2014). Innovation through research in acoustics is a key to its industry success. The UK's acoustics industry and research feeds into many major global markets, including the $10 billion market for sound insulation materials in construction, $7.6 billion ultrasound equipment market and $31 billion market for voice recognition. This is before the vital role of acoustics in automotive, aerospace, marine and defence is taken into consideration, or that of the major UK industries that leverage acoustics expertise, or the indirect environmental and societal value of acoustics is considered. All the four Grand Challenges identified in the 2017 UK Industrial Strategy require acoustics innovation. The Industrial Strategy Challenge Fund (ISCF, https://www.ukri.org/innovation/industrial-strategychallenge-fund/) focuses on areas all of which need support from acoustics as an enabling technology. The future of acoustics research in the UK depends on its ability to contribute to the Four Grand Challenges. Numerous examples are emerging to demonstrate the central role of acoustics in addressing the four Grand Challenges and particularly through more focused research. The acoustics-related research base in the UK is internationally competitive, but it is important to continue to link this research directly to the four Grand Challenges. In this process, the role of UK Acoustics Network (UKAN) is very important. The Network unites over 870 members organised in 15 Special Interest Groups (www.acoustics.ac.uk) who represent industry, academia and various non-academic organisations which success relies on the quality of acoustics related research in the UK. UKAN was funded by the EPSRC as a standard Network grant with the explicit aim of pulling together the formerly disparate and disjoint acoustics community in the UK, across both industry and academia. UKAN has been remarkably successful. Its success is manifested in the large number of its members, numerous network events it has run since its inception in November 2017 and contribution it has made to the acoustics research community. Unfortunately, UKAN has not been in the position to fund new, pilot adventurous or translational projects nor has it any funding support for on-going research or knowledge transfer (KT) activities. The purpose of UKAN+ is to move beyond UKAN, create strategic connections between acoustics challenges and the Grand Challenges and to tackle these challenges through pilot studies leading in turn to full-scale grant proposals and systematic research and KT projects involving a wider acoustics community. There is a great opportunity for the future of the UK's acoustics related research to move on beyond this point, build upon the assembled critical mass and explore the trans-disciplinary work initiated by UKAN. Therefore, this proposal is for UKAN+ to take this community to the next stage, connect this Network more widely in the UK and internationally to contribute through coordinated research to the solution of Grand Challenges set by the government. UKAN+ will develop a new roadmap for acoustics research in the UK related to Grand Challenges, award exploratory (pilot) cross-disciplinary research projects to the wider community to support adventure research and knowledge transfer activities agreed in the roadmap and support the development of develop full-scale bids to the government research funding bodies which are aligned with the Grand Challenges. UKAN+ will also set up a National Centre or Coordination of Acoustics Research, achieve full sustainability and support best Equality, Diversity and Inclusion practices.

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Poor air quality is widely recognised to affect human health and wellbeing. Cumulative exposure to pollutants throughout the life course is a determinant for numerous long term health conditions including dementia, heart disease and diabetes, Short term high exposures are shown to exacerbate conditions such as asthma and COPD, increase risks of heart attacks and stroke and influence respiratory infections. The very young, very old and those with pre-existing conditions are most at risk and inequality further increases this; the poorest in society often live in the lowest quality housing in the most polluted areas. Human exposure to air pollutants occurs in both indoor and outdoor environments. Urban air pollution results from a combination of local outdoor sources (e.g. transport, combustion, industry) and regional and large scale atmospheric transport of pollutants. We spend up to 90% of our time indoors and indoor air quality is therefore a significant part of human exposure. Indoor air quality is influenced by the climate, weather and air quality in the external environment in addition to local indoor sources (e.g. microorganisms, chemicals cleaning and personal care, cooking, industry processes, emissions from building materials, heating and mechanical systems) and the building design and operation. In all cases it is the airflows within and between indoor and outdoor locations that enables the transport of pollutants and ultimately determines human exposures. Understanding airflows is therefore at the heart developing effective mitigating actions, particularly in cases where there is limited ability to remove a pollutant source. Being able to predict the influence of airflows enables understanding of how pollutants are likely to move within and between buildings in a city, both under normal day-to-day conditions and in response to emergencies such as heatwaves or wildfires. With the right computational and measurement tools it is then possible to change the design or management of city neighbourhoods enabling better urban flows to reduce exposure to pollutants and also to innovate new ventilation solutions to control the indoor environment in buildings. While there are a number of approaches that already enable assessment of urban flows and indoor flows, these aspects are not currently considered together in an integrated way or focused on optimising environments for health. The Future Urban Ventilation Network (FUVN) aims to address this by defining a new holistic methodology - the Breathing City. This will define a new integrated assessment approach that considers coupled indoor-outdoor flows together to minimise exposure for people within a neighbourhood who are most at risk from the effects of poor air quality. The network will bring together people from a range of disciplines and areas of application with a common interest in improving urban and indoor airflows to improve health. Through small scale research and workshop activities we will advance the understanding of the fluid dynamics that determines the physics of this indoor-outdoor exchange. The network will develop a research programme to address technical gaps in modelling and measuring pollutant transport and how we can use this to determine long and short term exposures to a range of pollutants. We will work collaboratively with industry, policy makers and the public to understand how this approach could change city planning, building design guidance and community actions to enable health based future urban ventilation design and to "design out" health risks for people who are most vulnerable.

Miniaturisation of electronic devices has been matched in recent years by a drive to create miniature Lab-on-Chip systems that can handle and analyse chemical and biological materials in tiny volumes. Ultrasonic standing-wave fields are a promising technology that can potentially achieve many of the functions required for Lab-on-Chip systems, including: pumping, mixing, cell lysis, cell sorting, and sonoporation (opening pores in cell walls to allow drugs or genetic material to enter). Most importantly, by establishing and shaping the acoustic field bacteria and other biological cells can be manipulated and levitated within fluidic devices. In contrast to other technologies, it is possible to manipulate thousands of cells at once without harming them. However, controlling these various functions and preventing interactions in the confines of a microfluidic system is challenging and prevents wider uptake of these technologies. Research is required to better understand how secondary effects interfere with the primary functions. One example is the disruption of manipulation by acoustic streaming (a movement of the fluid itself induced by the ultrasound). Using novel techniques such as surface structuring I will enable the streaming flows to be controlled, and put to practical use (e.g. to enhance diffusion for cell perfusion, and analyte diffusion in sensor systems). Initial modelling suggests that this approach could enhance streaming by a factor of 10, leading to applications in other domains such as micro-cooling systems. I will be researching several other key areas: The mechanical stimulation of cells with acoustic forces to direct the development of mechanically responsive cells such as stem cells; the integration of ultrasonic arrays into microfluidic devices for enhanced flexibility of manipulation; and ways to integrate multiple acoustic functions within a single disposable device. The fundamental research will both enable and be driven by the second focus of the fellowship, applications. Two applications that each have the potential to transform existing technologies will be developed: 1) Bacterial detection in drinking water: My team has recently proven that bacteria (who typically experience forces 1000x smaller than human cells) can be successfully concentrated in flow-through ultrasonic devices. As part of a European project we have used this to concentrate the bacteria in samples of water to enhance the detection efficiency. However, I believe that we could deliver around a 100-fold increase in sensitivity by using the ultrasound to drive bacteria directly towards an antibody coated sensor surface where they will be captured and optically detected. Deploying such devices widely would be very beneficial for detecting contamination of drinking waters, rivers, and industrial waste streams. 2) Drug screening system: I will create a system that forms arrays of tiny clusters of human cells. Cells cultured in this 3D environment behave more naturally than those grown on a petri dish. The cells will be held in place by acoustic forces, both levitated away from contaminating surfaces, and also held against a steady flow of nutrients over a period of several days. Drugs will be introduced into the flow, and an integrated laser based detection system will monitor the resulting metabolites produced by the cells. The advantage of this is that large numbers of drugs can be tested in parallel, identifying those that could be further developed. A strong motivation for this application is that by providing a representative model of human tissues it could reduce the number of animal experiments required for drug testing. Given the huge potential impacts of these and other related systems I will work closely with industrial companies that have experience of creating detection and analytical systems to bring our technologies into widespread use.

A sightline system encompasses all subsystems and algorithms necessary for accurate target tracking, pointing and stabilisation of a sensor line-of-sight. Each system integrates technologies obtained from several established research domains. The strategic intention of this research proposal is to develop sightline control as an independent, coherent research topic for the first time in the UK. The first step in achieving this objective is to apply rigorous research methodology to two of the most important sightline control problems / nonlinear nadir control and long-range imaging.The airline industry is severely hit by the economic after effects of terrorist actions (as seen post 9/11). There is therefore a need to adopt technologies that will safeguard aircraft security when operating in high-risk areas. One of the key military aircraft defence technologies identified by the U.S. Department of Homeland Security as a priority transition to the civil sector is the Directed Infra-Red Countermeasures (DIRCM) system (a technology in which the UK is a significant stakeholder). The purpose of such systems is to defend friendly aircraft against the threat posed by Man-Portable Air Defence Systems (MANPADS) / typically shoulder-launched Surface-to-Air Missiles (SAMs) / by tracking the incoming IR-guided missile and confusing the guidance mechanism through delivery of a jamming signal onto the missile seeker. However, for gimballed sightline systems, there exists a pointing angle that, were the target to pass through, infinite rate demands would be sent to one of the axes. This is known as the nadir and introduces significant additional tracking error, which is potentially disastrous for the aircraft. It is the intent of this project to investigate the applicability of several advanced control algorithms, using predictive methods, to minimising tracking error around the nadir and so improve the survivability of the aircraft.To obtain high-resolution images it is essential that sightline jitter be minimised, as jitter is often the dominant contributor to roll-off of the image modulation transfer function (MTF) at high spatial frequencies (blurs-out fine detail in the image). Jitter can be decomposed into two further sub-groups comprising sightline motion introduced by mechanical imperfections in the steering system (notably friction and vibration) and aberrations external to the system introduced by atmospheric turbulence. Control solutions for reducing mechanical jitter have been well researched, using, for example, classical control, friction estimation and robust methods, but very little nonlinear controller activity has been documented. The astronomical community has used adaptive optics for several years to correct for atmospheric distortions in the image by measuring the wavefront and using this information to control an extremely fast deformable mirror. However the complexity of such systems makes them unsuitable for deployment in an airborne environment. The alternative approach proposed here is to investigate the mapping between sightline jitter under nonlinear control and the shape of the MTF. The resulting controllers will, for the first time, be directly coupled to the quality of image obtained, which should see significant improvements in the attenuation of mechanical jitter while simultaneously taking the first steps in researching image-based atmospheric correction.