Context-aware intelligent recommendation system for tourism. - Kevin Meehan; Tom Lunney; Kevin Curran; Aiden McCaughey (PerCom Workshops, 2013)

VISIT: Virtual Intelligent System for informing tourists. - Kevin Meehan (2016)

Diabetes prognosis using white-box machine learning framework for interpretability of results. - Pathan Faisal Khan; Kevin Meehan (CCWC, 2021)

Using a Raspberry Pi to prevent an intoxicated driver from operating a motor vehicle. - Jack McShane; Mandy Douglas; Kevin Meehan (CCWC, 2021)

Contact tracing, proximity safety, data correlation and visualization for global corporations. - Stefan Callery; Kevin Meehan (RTSI, 2021)

Using Deep Learning for COVID-19 Control: Implementing a Convolutional Neural Network in a Facemask Detection Application. - Caolan Deery; Kevin Meehan (SmartNets, 2021)

Using CNN and Tensorflow to recognise 'Signal for Help' Hand Gestures. - Gavin Elliott; Kevin Meehan; Jennifer Hyndman (UEMCON, 2021)

Classifying Plastic Waste on River Surfaces utilising CNN and Tensorflow. - Jack McShane; Kevin Meehan; Eoghan Furey; Marion McAfee (UEMCON, 2021)

Real-time Detection of Bio-inspired Kilobots: A Comparison of Cloud vs. Local Resources. - Zain Ali 004; Kevin Meehan; Jennifer Hyndman; Thomas Dowling (RTSI, 2022)

Using Deep Learning for Facial Recognition: Implementing a Convolutional Siamese Neural Network in a Facial Recognition System for Cattle. - David McDaid; Kevin Meehan (SmartNets, 2022)

Optimising Swarm Robotic Navigation: A Comparative Analysis of Fastest Path vs. Nearest Neighbour Path Projection Strategies. - Zain Ali 004; Kevin Meehan; Jennifer Hyndman; Thomas Dowling (AICS, 2023)

RIVERS: Real-Time Identification of Various Environmental Pollutants in Rivers. - Jack McShane; Marion McAfee; Eoghan Furey; Kevin Meehan (AICS, 2023)

Global-Local Influence Maximization Subgraph Sampling-Based Graph Representation Learning for Innate Immune Response Classification. - Mallikharjuna Rao Sakhamuri; Shagufta Henna; Leo Creedon; Kevin Meehan (AICS, 2023)

Gesture Recognition and Showing a Cyclist's Intent. - Thomas Bridgeman; Helena Gibson; Kevin Meehan (AIIoT, 2023)

Autonomous River Boat Sensor Platform: Monitoring Rivers using AI. - Tara Maguire; Kevin Meehan (AIIoT, 2023)

Exploring the Efficacy of an IoT Device as a Sensory Feedback Tool in Facilitating Learning for Neurodivergent Students. - Aoibheann Sims; Zain Ali 004; Kevin Meehan (AIIoT, 2023)

GSTGM: Graph, spatial-temporal attention and generative based model for pedestrian multi-path prediction. - Muhammad Haris Kaka Khel; Paul Greaney; Marion McAfee; Sandra Moffett; Kevin Meehan (Image Vis. Comput., 2024)

Iterative Graph-Based Deep Learning for Modeling and Predicting Immunogenicity in Human Immune Response. - Mallikharjuna Rao Sakhamuri; Shagufta Henna; Leo Creedon; Kevin Meehan (SMARTCOMP, 2025)

DCVSMNet: Double Cost Volume Stereo Matching Network. - Mahmoud Tahmasebi; Saif Huq; Kevin Meehan; Marion McAfee (Neurocomputing, 2025)

ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matching. - Mahmoud Tahmasebi; Saif Huq; Kevin Meehan; Marion McAfee (CoRR, 2025)