Past Projects

The project aims to develop a Knowledge Graph of a domain created by legal experts through intelligent machine learning algorithms.

Securing Tomorrows World builds on Ulster’s well-established STEM outreach activities to create a long-lasting cost-effective model to train degree-qualified academic & industrial engineers in the art of inspiring students to follow an cyber security career.

Smart sENsor Devices fOr rehabilitation and Connected health (SENDoc) project will introduce the use of wearable sensor systems in ageing communities in northern remote areas.

CINE is a collaborative digital heritage project between 9 partners and 10 associated partners from Norway, Iceland, Ireland, Northern Ireland and Scotland.

The main objective of this project is to test the accuracy and reliability of electronic sensors in measuring spinal movement and to develop a new outcome tool for spinal mobility.

The REAMIT project proposes to adapt and apply existing innovative technology to food supply chains in NWE to reduce food waste and hence improve resource efficiency.

Trailgazers (TG) Bid will measure socio-economic impacts from investing & promoting trails in areas of rich natural heritage.

CertD supports SMEs in NWE that develop and market innovative, reliable, self-determined home living products for People with Dementia.

T4Anxiety aims to support the implementation of innovative solutions through start-ups with the objective of reducing the anxiety of patients suffering from mental disorders.

The StoryTagging project combines traditional storytelling with modern technologies to help increase the visibility and market reach of creative practitioners working in remote areas.

Stratus will use disruptive VR technologies to enable exploration of the Past, Present and Future, maximising societal benefits from natural and cultural heritage.

This project focuses on the innovation opportunities offered to healthcare providers and other public bodies by the provision and implementation of an Internet of Things (IoT) infrastructure and strategy.

The objective of this project is to design and develop an automated, machine learning-powered time-lapse creator.

There has been an upsurge in use of technology solutions across the NPA, solutions that have been attempting to reduce effects of COVID-19.

The indirect consequences of Covid-19 on the mental health of the general population will be considerable.  First, anxiety, depression, alcohol misuse and suicidality are likely to increase in the general population.

iPatient developed an interactive teaching tool for colleagues in ADDL at Ulster.  It simulates a range of patient scenarios to provide students with teaching and revision material on the topic of the ‘Red Eye’.

We are developing an upper limb rehabilitation game for stroke survivors. The device consists of a Bluetooth connected wearable glove device operating alongside a mobile game app.

This project developed product for identifying individuals by their gait or the way they walk.

With the increased penetration of renewable energy sources and the goal of reducing the reliance on fossil fuel dependence for power generation the goal for most countries.

SENDoc applies diagnosis, rehabilitation and connected healthcare concepts internationally to enhance and improve community care provision, post classical rehabilitation.

Neighbourhood’s on Thin Ice considered new evidence-based planning methods, a decision-making framework and toolkit for heritage sensitive and healthy urban planning/design.

The SOFIA preparatory project co-ordinated activity at a transnational level to identify best practice, established an evidence base of health and wellbeing impacts on individuals.

MIDAS intends to have a real impact on these problems to improve health, and health care delivery.

This scoping project focuses on cognitive health in ageing, using data from the TUDA study (Trinity, Ulster, Department of Agriculture) linking nutrition, biomarker, lifestyle, health, and geo-referenced data with cognition as people age.

This inter-disciplinary project focuses on cognitive health in ageing, using existing TUDA data (Trinity, Ulster, Department of Agriculture Study) linking nutrition, biomarker, lifestyle, health, and geo-referenced data with cognition as people age.

This project aims to translate the methodology and statistical models developed at Ulster for Malaria risk and rate trends into a practical near real-time (pilot) tool.

The goal of this project was to investigate meta-learning in reinforcement learning under highly stochastic environments using mathematically tractable and autonomous Braitenberg vehicles.

The goal of the project was to use machine learning on neuroimaging data to detect Alzheimer’s disease, and data analytics to identify variability of lab tests across Northern Ireland.

The goal of this project was to develop large-scale neural circuit model of value learning and risky decision.

The goal of this project was to develop computational decision support tool to diagnose Alzheimer’s disease.

The goal of this project was to computationally model multisensory decision inspired by neuroscience.

The goal of this project is to use electronic healthcare service and data analytics to speed dementia diagnosis.

The goal of this project is to use electronic healthcare service and data analytics to develop a dementia diagnosis support tool.

The goal of this project is to coordinate international researchers to develop and evaluate a transdisciplinary framework for multiscale systems medicine.

The goal of this study is to develop computational model of biological signalling of serotonin receptors to identify potential treatment for Alzheimer’s disease.

The Centre for Personalised Medicine was established in April 2017.

The goal of this study is to use computational approaches to predict Alzheimer’s disease.

The goal of this study is to use computational modelling, optogenetics and other techniques to understand neural circuits within the raphe brain region in rodents performing emotional learning.

The goal of this study is to gain insights into how and where abstract decision mechanisms take place in the human and monkey brain through a concerted multi-species, multi-modal investigation integrated with computational modelling.

This project not only hopes to make residents more proficient and skilled in computing and creating the potential for employment, but to also raise aspirations to consider further education as an alternative to unemployment.

The BT Ireland Innovation Centre (BTIIC), undertakes an extensive programme of research and development that will cost an estimated £28.6 million over the next five years, with Invest NI support of £9 million towards the R&D programme.

Future Screens NI comprises the two higher education institutions (Ulster University and QUB) and a number of key industrial partners central to the creative economy in the region.

In the Magic project Phase 3, the Ulster team was selected, along with industrial partners, as suppliers with funding to implement and trial the Magic Glass.

Ulster, along with industrial partners, successfully tendered for funding to take their Magic Glass VR stroke system to the prototype stage.

Phase 1 of Magic involved customer discovery, the creation of a business plan, and the construction of a technical plan to deliver our Magic Glass product as a groundbreaking solution for home-based stroke rehabilitation.

ICURe is a programme of commercialisation support for teams of academic researchers wishing to explore the commercial potential of their research.

The first phase of the project aims at developing an innovative and modular third-generation ICT solution for independent living, by integrating and improving two existing platforms.

The aim of this project is to create an International and Intersectoral network to facilitate the exchange of staff to progress developments in reminding technologies for persons with dementia which can be deployed in smart environments.

The main goal of the MY-RELIEF project is to improve knowledge and skills of working adults.

Chronic pain is associated with many different diagnostic entities ranging from diseases and other muscular-skeletal conditions to neuropathic pain conditions.

This project is primarily focused on upper limb movement restoration of post-stroke individuals with movement impairments.

The project investigated a neuro-rehabilitation system that facilitates intensive active physical practice and MI practice.

The overall objective of this project is the development of a control system for road maintenance trucks that will automate the dispensing of both tar and stone chips onto roads.

The main aim of the present project was to investigate the role of astroglial mitochondrial G protein (mtG) signalling in brain physiology, identifying the underlying cellular, network, behavioural and theoretical modelling mechanisms.

This project demonstrated that the self-repairing spiking neural network is capable of diagnosing faults and subsequently performing repairs beyond existing levels, where the repair capability was showcased in hardware using real-time robotic applications.

This project will demonstrate a fault tolerant autonomous robotic system that is able to continually detect, in real-time, changes in the air environment, and construct a hazard map of potential threats.

This is an EU-funded project to create a refined understanding of retinal function in natural visual environments by examining the unique role that non-standard retinal ganglion cells play in dynamic visual processes.

Biological neural systems are powerful, robust and highly adaptive computational entities that outperform conventional computers in almost all aspects of sensory-motor integration.

This project will create a self-learning robotic ecology, called RUBICON (for Robotic UBIquitous COgnitive Network), consisting of a network of sensors, effectors and mobile robot devices.

The purpose of the "Robot Identification" project is to automate and formalise the process of generating mobile robot control code, so that "standard" behaviours will no longer have to be programmed, but will be obtained through automatic processes.