Quote
"The Faculty are delighted with the strong Ulster University REF2021 performance in Unit of Assessment 11 - Computer Science and Informatics. As the 6th largest submission in the UK in terms of staff with significant responsibility for research and the only one from Northern Ireland, we are now ranked 9th overall for research power in this subject area.
This coupled with our inclusion in a group of institutions who are ranked joint first in the UK for having attained a 100% 4*/3* rating in both the quality of the impact from their research and the research environment, is a testament to our returning all eligible staff from the Schools of Computing and Computing, Engineering and Intelligent systems who have actively contributed to this success."
How we did
Overall
We have made significant improvement in all areas assessed since the REF2014.
An outstanding 92% of our research has been judged as world-leading or internationally excellent.
Our world-leading or internationally excellent research has increased by 27% since REF2014.
Research Impact
100% of our impact case studies have been judged as having outstanding or very considerable impacts in terms of their reach and significance.
An increase of 50% in our research impact being rated as either 4* or 3* since REF2014.
Environment
100% of our research environment has been judged as being conducive to producing research of world-leading and internationally excellent quality and enabling outstanding impact, in terms of its vitality and sustainability.
An improvement of 10% since REF2014.
Research Outputs
86.2% of our research outputs have been judged as world-leading or internationally excellent in terms of originality, significance and rigour.
Our world-leading or internationally excellent research outputs have increased by 23% since REF2014.
All of the above is in the context of a unit that has grown over 75% from ~40 staff to ~70 staff since REF2014.
Research Directors
Unit of Assessment Coordinators
People Involved
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Our Team
Name Role Bai, L Dr Lecturer in Data Analytics Bhattacharyya, S Dr Lecturer in Computer Science Bi, Y Dr Reader in Computing Science Black, M Professor Professor of Artificial Intelligence Bond, R Professor Professor of Human Computer Systems Browne, F Dr Lecturer Bucholc, M Dr Lecturer in Data Analytics Callaghan, M Mr Reader Charles, D Dr Senior Lecturer Chaurasia, P Dr Lecturer in Data Analytics Chen, L Professor Research Director Cleland, I Dr Senior Lecturer Coleman, S Professor Professor of Vision Systems Condell, J Professor Professor Coyle, D Professor Research Director - Computer Science and Informatics Cruciani, F Dr Research Fellow in Computing Curran, K Professor Professor of Cyber Security Davies, R Mr Lecturer in Computing Science Ding, X Dr Lecturer in Computer Science Donnelly, M Dr Senior Lecturer Dora, S Dr Lecturer in Data Analytics Ennis, A Mr Research Fellow Flanagan, B Ms Lecturer in Computer Science Galway, L Dr Lecturer in Computer Science Gardiner, B Dr Associate Head of the School of Computing, Engineering and Intelligent Systems Glass, D Dr Senior Lecturer Harkin, J Professor Head of the School of Computing, Engineering and Intelligent Systems Hawe, G Dr Lecturer Kasabov, N Professor George Moore Professor of Data Analytics Kelly, D Dr Lecturer in Computer Science Kelso, S Professor Professor of Computational Neuroscience Kerr, D Dr Senior Lecturer Kerr, E Dr Lecturer in Mechanical Engineering Liu, J Dr Reader Liu, J Dr Lecturer Maguire, L Professor PVC Research Martinez Carracedo, J Dr Lecturer in Computer Science (Internet of Things) McCartney, M Dr Senior Lecturer in Mathematics McChesney, I Dr Senior Lecturer McClean, S Professor Professor of Mathematics McCreadie, K Dr Lecturer in Data Analytics McCullagh, P Dr Reader McDaid, L Professor Professor of Computational Neuroscience McGinnity, T Professor Professor of Intelligent Systems Moore, A Dr Senior Lecturer Moore, G Dr Senior Lecturer Morrow, P Professor Professor of Computer Vision Mulvenna, M Professor Professor of Computer Science Nibouche, O Dr Lecturer Nicholl, P Dr Senior Lecturer Nugent, C Professor Head of School of Computing Paggetti, C Professor Professor of Digital Health Prasad, G Professor Professor of Intelligent Systems Rafferty, J Dr Lecturer Ramlan, E Dr Lecturer Rankin, D Dr Lecturer in Computer Science Santos, J Dr Associate Head of School of Computing Scotney, B Professor Professor of Informatics Shewell, C Mr Lecturer in Computing Science (Internet of Things) Siddique, N Dr Lecturer Sterritt, R Mr Lecturer in Informatics Synnott, J Dr Research Fellow Uhomoibhi, J Dr Lecturer in Engineering Vance, P Dr Lecturer in Computer Science Wade, J Dr Lecturer in Computer Science Wallace, J Professor Professor of Innovation Wang, H Dr Reader Wang, H Professor Professor of Computer Science Wilkie, G Dr Senior Lecturer in Computer Science Wong-Lin, K Dr Reader Wu, S Dr Lecturer Yogarajah, P Dr Lecturer in Computer Science Zhang, S Dr Lecturer in Computing Science Zheng, H Professor Professor of Computer Sciences
Quote
"Computer Science and Informatics at Ulster, the only Computer Science and Informatics unit in Northern Ireland, goes from strength to strength.
We are the 6th largest Computer Science and Informatics unit in the UK having 100% of our research impact assessed as outstanding or very considerable, 100% of our research environment rated world-leading or internationally excellent, and ranking 7th in the UK out of 90 for the level of world-leading or internationally excellent research and impact for the number of staff returned."
Impact Case Studies and Environment Statement
Research Outputs
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View the outputs
- A geometric framework for data fusion in information retrieval
- A joint optimization method on parameter and structure for belief-rule-based systems
- A Micro-Extended Belief Rule-Based System for Big Data Multi-Class Classification Problems
- A multimodal smartphone sensor system for behaviour measurement and health status inference
- A neural circuit model of decision uncertainty and change-of-mind
- A New Dynamic Rule Activation Method for Extended Belief Rule-Based Systems
- A new patch selection method based on parsing and saliency detection for person re-identification
- A Novel Classification Framework for Evaluating Individual and Aggregate Diversity in Top-N Recommendations
- A paired neural network model for tourist arrival forecasting
- A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual
- A sequential learning algorithm for a spiking neural classifier
- A single predator multiple prey model with prey mutation
- A study of developments and applications of mixed reality cubicles and their impact on learning
- A Synergetic Brain-Machine Interfacing Paradigm for Multi-DOF Robot Control
- Active Sample Selection Based Incremental Algorithm for Attribute Reduction with Rough Sets
- Activity Recognition for IoT Devices Using Fuzzy Spatio-Temporal Features as Environmental Sensor Fusion
- AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning
- Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection
- Affective state detection via facial expression analysis within a human-computer interaction context
- Aggregated Topic Models for Increasing Social Media Topic Coherence
- An analysis of simple computational strategies to facilitate the design of functional molecular information processors
- An integrated modelling framework for neural circuits with multiple neuromodulators
- An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network
- An Ontology-Based Hybrid Approach to Activity Modeling for Smart Homes
- An Ontology-Independent Representation Learning for Similar Disease Detection Based on Multi-layer Similarity Network
- Analyzing Activity Recognition Uncertainties in Smart Home Environments
- Appearance-invariant place recognition by adversarially learning disentangled representation
- Application of systems identification to the implementation of motion camouflage in mobile robots
- Assessing impact of channel selection on decoding of motor and cognitive imagery from MEG data
- Augmenting Motor Imagery Learning for Brain–Computer Interfacing Using Electrical Stimulation as Feedback
- Autonomic architecture for fault handling in mobile robots
- Behavlets: a method for practical player modelling using psychology-based player traits and domain specific features
- Beyond reach: Do symmetric changes in motor costs affect decision making? : A registered report
- Biologically inspired navigation primitives
- Biometrics and counter-terrorism: the case of gait recognition
- Breast density classification in mammograms: An investigation of encoding techniques in binary-based local patterns
- Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network
- CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization
- Changes-of-mind in the absence of new post-decision evidence
- Characterization of Received Signal Strength Perturbations using Allan Variance
- Combining deep residual network features with supervised machine learning algorithms to classify diverse food image datasets
- Compensating for thalamocortical synaptic loss in Alzheimer's disease
- Competing hypotheses and abductive inference
- Concept Preserving Hashing for Semantic Image Retrieval with Concept Drift
- Connecting empirical phenomena and theoretical models of biological coordination across scales
- Current Source Density Estimation Enhances the Performance of Motor-Imagery Related Brain-Computer Interface
- Decoding Imagined 3D Hand Movement Trajectories From EEG: Evidence to Support the Use of Mu, Beta, and Low Gamma Oscillations
- Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces
- Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces
- DENSE-INception U-net for medical image segmentation
- Design and evaluation of a time adaptive multimodal virtual keyboard
- Detecting anomalies in sequential data augmented with new features
- Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming
- E-GCN: graph convolution with estimated labels
- Enhanced emotional responses during social coordination with a virtual partner
- Enhancing gait based person identification using joint sparsity model and ℓ1-norm minimization
- Ensemble classifier of long short-term memory with fuzzy temporal windows on binary sensors for activity recognition
- Evaluating User Engagement with a Reminiscence App Using Cross Comparative Analysis of User Event Logs and Qualitative Data
- Evaluation of Hyperparameter Optimization in Machine and Deep Learning Methods for Decoding Imagined Speech EEG
- EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments
- Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network
- Exploring the Relationship Between Online Social Network Site Usage and the Impact on Quality of Life for Older and Younger Users: An Interaction Analysis
- Extended belief rule-based model for environmental investment prediction with indicator ensemble selection
- Extending knowledge-driven activity models through data-driven learning techniques
- Eye tracking analysis of computer program comprehension in programmers with dyslexia
- Fan-In analysis of a leaky integrator circuit using charge transfer synapses
- Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog
- Focused random walk with probability distribution for SAT with long clauses
- From Activity Recognition to Intention Recognition for Assisted Living Within Smart Homes
- Fully automated breast boundary and pectoral muscle segmentation in mammograms
- Function point analysis using NESMA: simplifying the sizing without simplifying the size
- Fusion of Random Walk and Discrete Fourier Spectrum Methods for Gait Recognition
- Fusion-based Methods for result diversification in web search
- Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving
- Hand-Exoskeleton Assisted Progressive Neurorehabilitation using Impedance Adaptation based Challenge Level Adjustment Method
- High-dimensional brain-wide functional connectivity mapping in magnetoencephalography
- Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective
- Hybrid Demodulate-Forward Relay Protocol for Two-Way Relay Channels
- Identification of Protein Complexes from Tandem Affinity Purification/Mass Spectrometry Data via Biased Random Walk
- Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study
- Improved lexicon-based sentiment analysis for social media analytics
- Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets
- Insights into Antidepressant Prescribing Using Open Health Data
- Integrated metagenomic analysis of the rumen microbiome of cattle reveals key biological mechanisms associated with methane traits
- Integrating Omics Data with a Multiplex Network-based Approach for the Identification of Cancer Subtypes
- Integrating Space, Time, and Orientation in Spiking Neural Networks: A Case Study on Multimodal Brain Data Modelling
- Interval type-2 fuzzy logic based multiclass ANFIS algorithm for real-time EEG based movement control of a robot arm
- Intrinsic Rewards for Maintenance, Approach, Avoidance and Achievement Goal Types
- Latent state recognition by an enhanced hidden Markov model
- Linking Biochemical Pathways and Networks to Adverse Drug Reactions
- Low Cost Inertial Sensors for the Motion Tracking and Orientation Estimation of Human Upper Limbs in Neurological Rehabilitation
- Low Cost Interconnected Architecture for the Hardware Spiking Neural Networks
- Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks
- Material recognition using tactile sensing
- Metastable neural dynamics in Alzheimer's disease are disrupted by lesions to the structural connectome
- Metastable neural dynamics underlies cognitive performance across multiple behavioural paradigms
- Minimization of delay and collision with cross cube spanning tree in wireless sensor networks
- Minimum margin loss for deep face recognition
- Mining Similar Aspects for Gene Similarity Explanation Based on Gene Information Network
- MobiGroup: Enabling Lifecycle Support to Social Activity Organization and Suggestion With Mobile Crowd Sensing
- Modeling Dyslexic Students' Motivation for Enhanced Learning in E-learning Systems
- Modelling assistive technology adoption for people with dementia
- More efficient stochastic local search for satisfiability
- Motor imagery and error related potential induced position control of a robotic arm
- Multi-faceted informatics system for digitising and streamlining the reablement care model
- Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer’s Disease in AIBL Data: Group and Individual Analyses
- Multi-level supervised hashing with deep features for efficient image retrieval
- Multimodal Material identication through recursive tactile Sensing
- Multi-occupancy Fall Detection using Non-Invasive Thermal Vision Sensor
- Multiple stages of information processing are modulated during acute bouts of exercise
- Nearest clusters based partial least squares discriminant analysis for the classification of spectral data
- NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
- Neural Circuit Interactions between the Dorsal Raphe Nucleus and the Lateral Hypothalamus: An Experimental and Computational Study
- Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments
- Neurogaming With Motion-Onset Visual Evoked Potentials (mVEPs): Adults Versus Teenagers
- New fast and area-efficient pipeline 3-D DCT architectures
- Novel "Squiral" (square spiral) architecture for fast image processing
- On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks
- Online Meta-neuron based Learning Algorithm for a spiking neural classifier
- Online optimization of casualty processing in major incident response: An experimental analysis
- Ontology-based Enriched Concept Graphs for Medical Document Classification
- Optical Space Switches in Data Centers: Issues with Transport Protocols
- Optimization of University Course Scheduling Problem using Particle Swarm Optimization with Selective Search
- Organized Modularity in the Interactome: Evidence from the Analysis of Dynamic Organization in the Cell Cycle
- Pedestrian Dead Reckoning-Assisted Visual Inertial Odometry Integrity Monitoring
- Perceptual Modeling of Tinnitus Pitch and Loudness
- Performance of a Steady-State Visual Evoked Potential and Eye Gaze Hybrid Brain-Computer Interface on Participants With and Without a Brain Injury
- Personalizing Activity Recognition With a Clustering Based Semi-Population Approach
- Pervasive Sound Sensing: A Weakly Supervised Training Approach
- Physical unclonable functions based secret keys scheme for securing big data infrastructure communication
- Predicting future influence of papers, researchers, and venues in a dynamic academic network
- Quantifying consensus of rankings based on q-support patterns
- Quantifying sequential subsumption
- Robotic Ubiquitous Cognitive Ecology for Smart Homes
- Robust EEG/MEG Based Functional Connectivity with the Envelope of the Imaginary Coherence: Sensor Space Analysis
- Robust Microbial Markers for Non-Invasive Inflammatory Bowel Disease Identification
- Scalable Networks-on-Chip Interconnected Architecture for Astrocyte-Neuron Networks
- Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours
- Semi-Automated Data Labeling for Activity Recognition in Pervasive Healthcare
- Sensor Optimization in Smart Insoles for Post-Stroke Gait Asymmetries Using Total Variation and L1 Distances
- Sensor-Based Change Detection for Timely Solicitation of User Engagement
- Sensorimotor Modulation Assessment and Brain-Computer Interface Training in Disorders of Consciousness
- Signal Propagation in the Human Visual Pathways: An Effective Connectivity Analysis
- Simulated Data to Estimate Real Sensor Events: A Poisson-Regression-Based Modelling
- Single-Trial Detection With Magnetoencephalography During a Dual-Rapid Serial Visual Presentation Task
- Social Influence of Competing Groups and Leaders in Opinion Dynamics
- SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture
- Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images
- Speed of Rapid Serial Visual Presentation of Pictures, Numbers and Words Affects Event-Related Potential-Based Detection Accuracy
- Spiking Neural Network Modelling Approach Reveals How Mindfulness Training Rewires the Brain
- SRAM-PUF Based Entities Authentication Scheme for Resource-constrained IoT Devices
- Tangent Space Features-Based Transfer Learning Classification Model for Two-Class Motor Imagery Brain–Computer Interface
- The Empowering Role of Mobile Apps in Behavior Change Interventions: The Gray Matters Randomized Controlled Trial
- The human dynamic clamp as a paradigm for social interaction
- The robustness, link-species relationship and network properties of model food webs
- The role of migration in a spatial extension of the Webworld eco-evolutionary model
- The Virtual Teacher (VT) Paradigm: Learning New Patterns of Interpersonal Coordination Using the Human Dynamic Clamp
- Toward Optimization of Gaze-Controlled Human–Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients
- Towards Secure and Privacy-Preserving IoT Enabled Smart Home: Architecture and Experimental Study
- Tri-directional Gradient Operators for Hexagonal Image Processing
- Two-Level Master-Slave RFID Networks Planning via Hybrid Multi-objective Artificial Bee Colony Optimizer
- uMoDT: an unobtrusive multi-occupant detection and tracking using robust Kalman filter for real-time activity recognition
- Understanding Contrail Business Processes through Hierarchical Clustering: A Multi-stage Framework
- Using Genetic Algorithms to optimise dynamic power saving in communication links subject to quality of service requirements
- Using phase-type models to cost stroke patient care across health, social and community services
