Version 2 Universidade Nacional da Irlanda em Galway -- Ciência sem Fronteiras PhD Project Template PI name & contact details: School: Liam Kilmartin/Dr. Edward Jones liam.kilmartin@nuigalway.ie\ edward.jones@nuigalway.ie College of Engineering and Informatics (Electrical & Electronic Engineering Discipline) Research Centre / group affiliation: National Centre for Biomedical Engineering Science Research group / centre website: http://ncbes.eurhost.net/bioelectronics.aspx PI website / link to CV: http://www.eee.nuigalway.ie/Staff/ejones.html http://www.nuigalway.ie/our-research/people/engineering-andinformatics/liamkilmartin/ Brief summary of PI research: The co-PIs have over 45 years combined research experience working in fields of relevance to this project: Audio\Speech processing, machine learning, mobile phone based sensing, smartphone app development, embedded\power efficient software development Title & brief description of PhD project (suitable for publication on web): Title: Mobile handset based Acoustic Sensing for mental Health (MASH) Description: This research will investigate the development of smart phone application technology to acquire and analyse speech data for the assessment of mental wellbeing. Such technology could find use in monitoring the impact of social isolation experienced by some older people, or as a mechanism for identifying younger people where mental health concerns may exist. The link between the basic characteristics of speech and mental wellbeing has already been well established, and the use of ubiquitous mobile technology to enable the reliable gathering and analysis of data “transparently” should greatly improve upon current practices in this area, which rely on clinical interviews, user participation in the maintenance of personal diaries etc. The project will address the problem in two ways. Firstly, it will enhance current approaches to speech analysis for this application, both by improving the quality of the signal in a mobile context, and exploiting the nature of conversational interactions unique to mobile phones that provide additional information. Methods for fusing relevant information from additional standard “sensors” on mobile handsets to improve and enhance information relating to the performance and accuracy of the audio processing functionality will be addressed. Secondly, the research will develop technology to address the significant problem of power consumption in smart phones that is a consequence of the additional applications required for speech analysis Version 2 Universidade Nacional da Irlanda em Galway -- Ciência sem Fronteiras Unique selling points of PhD project in NUI Galway: The host group works in a multi-disciplinary environment, and has direct access to relevant clinical expertise in psychology, psychiatry and public health. Furthermore, one of the PIs (Liam Kilmartin) has already successfully spun-out a commercial venture based on aspects of the smart phone technology and pervasive computing that will be employed in this project. The project will be hosted in NUI Galway’s recently-opened School of Engineering, the largest in the country. This €40m building is equipped with state of the art laboratory facilities and a range of specialist development and test equipment. http://www.nuigalway.ie/new-engineering-building/ Name & contact details for project queries, if different from PI named above: As above Please indicate the graduates of which disciplines that should apply: Electrical, Electronic, Computer or Communications Engineering Computer Science Ciência sem Fronteiras / Science Without Borders Priority Area: Please indicate the specific programme priority area under which the proposed PhD project fits- choose only one (tick box): Engineering and other technological areas Pure and Natural Sciences (e.g. mathematics, physics, chemistry)/Physical Sciences (Mathematics, Physics, Chemistry, Biology and Geosciences) Health and Biomedical Sciences / Clinical, Pré-clinical and Health Sciences Information and Communication Technologies (ICTs), Computing X Aerospace Pharmaceuticals Sustainable Agricultural Production Oil, Gas and Coal Renewable Energy Minerals, Minerals Technology Biotechnology Nanotechnology and New Materials Technologies for Prevention and Mitigation of Natural Disasters Bioprospecting and Biodiversity Marine Sciences Creative Industry New technologies in constructive engineering Please indicate which of the following applies to this project (referring to Science Without Borders arrangements): Suitable only as a Full PhD (Y/N): Y Available to candidates seeking a Sandwich PhD arrangement (Y/N): N