Personal profile
Research Interests
Kevin’s research interests include the areas of computer vision, machine learning, location tracking, recommender systems, context-aware systems and ubiquitous / pervasive computing.
Teaching Profile
Kevin has taught multiple subjects including Machine Learning, Introduction to Data Science, Research in Computing in Emerging Technologies, Project Development, Computer Vision, Natural Language Processing, Android Development.
Professional Memberships
Kevin is a Fellow of the Higher Education Academy and a Member of the Institute of Electrical and Electronics Engineers
Professional Information
Kevin is a Principal Investigator for both WisarLab and the Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE).
Consultancy
Kevin has experience of working as a software developer and has also got experience with industry collaboration. This industry collaboration has allowed Kevin to work with over 45 SMEs over the past ten years. Since joining Atlantic Technological University, Kevin has secured funding of over €400,000 to complete collaboration, industrial research or knowledge transfer projects.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 5 Gender Equality -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action
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Pedestrian Trajectory Prediction using BiLSTM with Spatial-Temporal Attention and Sparse Motion Fields
Khel, M. H. K., Greaney, P., McAfee, M., Moffett, S. & Meehan, K., 2023, 2023 34th Irish Signals and Systems Conference, ISSC 2023. IEEE, (2023 34th Irish Signals and Systems Conference, ISSC 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Citations (Scopus) -
Global-local influence maximization subgraph sampling-based graph representation learning for innate immune response classification
Sakhamuri, M. R., Henna, S., Creedon, L. & Meehan, K., 2023, 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023. IEEE, (2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Graph modelling and graph-attention neural network for immune response prediction
Sakhamuri, M. R., Henna, S., Creedon, L. & Meehan, K., 2023, 2023 34th Irish Signals and Systems Conference, ISSC 2023. IEEE, p. 1-6 6 p. (2023 34th Irish Signals and Systems Conference, ISSC 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Citations (Scopus) -
Optimising Swarm Robotic Navigation: A Comparative Analysis of Fastest Path vs. Nearest Neighbour Path Projection Strategies
Ali, Z., Meehan, K., Hyndman, J. & Dowling, T., 2023, 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023. IEEE, (2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
RIVERS: Real-time identification of various environmental pollutants in rivers
McShane, J., McAfee, M., Furey, E. & Meehan, K., 2023, 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023. IEEE, (2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus)