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Machine learning for more efficient data extraction in legal documents

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

Securing Tomorrow's World: Encouraging Young People to Pursue Careers in Cyber Security

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)

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.

Connected Culture and Natural Heritage in a Northern Environment (CINE)

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

Can inertial movement sensors (IMUs) provide a valid and reliable way of measuring Spinal Mobility in Axial Spondylo-arthritis (axSpa)? A clinimetric evaluation

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.

REAMIT - improving Resource Efficiency of Agribusiness supply chains by Minimising waste using big data and Internet of Things sensors

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.

CertificationD - Certification of Technological products for People with Dementia to support SMEs in innovation and business growth

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

IT4Anxiety - Managing anxiety via innovative technologies for better mental health

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 - Pushing the Limits of VR in Cultural and Natural Heritage

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

TESTED - IOT Testbed

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.

EverCam Fusion Project (Construction Cameras)

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

NPA COVID-19 Response - TechSolns project

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

NPA COVID Response - ReMind Project

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 - Interactive Teaching Tool

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’.

HealingHandTech Innovation Voucher

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.

Predictive Control of Energy Storage Systems - Battery CAES

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 Preparatory Award

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

NOTE - NeighbOurhoods on Thin IcE – Heritage and Naturally Valued Climate-Sensitive Built Environments - Preparatory Award

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.

SOFIA - SOcial Farming Impact Assessment - Preparatory Award

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 (Meaningful Integration of Data, Analytics and Services)

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

Time Series Geo-Referenced Health Care Analytics for Dementia

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.

A Multidisciplinary, Data Analytics and Public Participatory Approach to Better Understanding the Risks of Dementia in Ageing

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.

MalarInfo: A machine learning information toolset for predicting malaria risk, rates and trends in intervention planning: A pilot project in Zambia

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.

Highly stochastic analytic meta-learning: the Braitenberg vehicles case study

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

Integrated Health Analytics Centre (IHAC) - Dementia signature and risk prediction, and laboratory test data variability

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.

Modelling brain circuit dynamics of rewarding, aversive and risky decisions

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

Extraction and modelling of Alzheimer’s disease data for patient stratification

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

A neuro-inspired multisensory perceptual decision-making model with decision confidence

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

Dementia data analytics project

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

Enhanced decision support tool for timely diagnosis of dementia

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

Open Multiscale Systems Medicine (OpenMultiMed)

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

Computational modelling of novel serotonergic therapeutic mechanisms for the treatment of Alzheimer’s disease

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

Centre for personalized medicine; clinical decision making and patient safety

The Centre for Personalised Medicine was established in April 2017.

A novel computational framework for predicting the conversion from early-stage mild cognitive impairment to Alzheimer’s disease

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

Large-scale recording and computational modelling of midbrain raphe microcircuitry during emotional learning

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.

Uncovering the neural architecture underlying decisions abstracted from movements

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.

IMHAPPY - (IMproving Hopes, Aspirations, Potential and Prospects in the Youth)

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.

BT-Ireland Innovation Centre (BTIIC). An International Centre of Excellence for Industrial Research and Engineering

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

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.

Magic Glass Phase 3

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.

Magic Glass Phase 2

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

Magic Glass Phase 1

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.

Magic Glass Business Development Funding

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

Home4Dem: Home based ICT for dementia patients

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.

REMIND: The use of computational techniques to improve compliance to reminders within smart environments

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.

Training ergonomics, self-management and health behaviour strategies to mature workers suffering from chronic low-back pain (MY-RELIEF)

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

VR-RELIEF PCP - Phases 1 - 3

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

Advancing MEG based Brain-Computer Interface Supported Upper Limb Post-Stroke Rehabilitation

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

A BCI Operated Hand Exoskeleton based Neurorehabilitation System for Movement Restoration in Paralysis

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

Control System for Road Maintenance Trucks to Automate the Dispensing of Tar and Stone chips.

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.

Mitochondrial G Protein signaling in astrocytes: a new player in the tripartite synapse

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.

Self-repairing Hardware Paradigms based on Astrocyte-neuron Models

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.

Self-Repairing Neural Controllers for Autonomous Chemical Identification

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.