Research output per year
Research output per year
Organisation profile
Overview of our Research
At the Data Science Institute (DSI), we research technologies at the convergence of Computer Science, Web Science and Artificial Intelligence to build a fundamental understanding of how information and knowledge are increasingly driving society through digital processes, and of the tools, techniques and principles supporting a data-enhanced world.
Keywords
- QA75 Electronic computers. Computer science
- data science
- data analytics
- NLP
- IOT
- data spaces
- knowledge graphs
- linked data
- semantic web
- trustworthy AI
- Artificial Intelligence
- Ethical AI
- decentralised data
- data visualisation
- data discovery
- discovery informatics
- linguistic data
- applied innovations
- eGov
- AR/VR
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. Our work contributes towards the following SDG(s):
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Dive into the research topics where Data Science Institute is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Ifeoluwapo Aribilola
- School of Computer Science, Computer Science - Post Doctoral Researcher
- Data Science Institute
Person: Academic
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Nitesh Bharot
- School of Computer Science, Computer Science - Post Doctoral Researcher
- Data Science Institute
Person: Academic
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John Breslin
- School of Engineering, Electrical & Electronic Engineering - Established Professor
- Data Science Institute
Person
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ABIDS-VEM: Leveraging an Equilibrium Optimizer and Data Ramification in Association with Ensemble Learning for Anomaly-Based Intrusion Detection System
Verma, P., O'Shea, D., Newe, T., Mehta, N., Bharot, N. & Breslin, J. G., 2025, In: Journal Of Supercomputing.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
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Analysing kinematic data from recreational runners using functional data analysis
Gunning, E., Golovkine, S., Simpkin, A. J., Burke, A., Dillon, S., Gore, S., Moran, K., O’Connor, S., White, E. & Bargary, N., 2025, (Accepted/In press) In: Computational Statistics. 104879.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
Open Access1 Citation (Scopus) -
A Probabilistic Adversarial Autoencoder for Novelty Detection: Leveraging Lightweight Design and Reconstruction Loss
Asad, M., Ullah, I., Adeel Hafeez, M., Sistu, G. & Madden, M. G., 2025, In: IEEE Access. 13, p. 98530-98541 12 p.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
1 Citation (Scopus)
Activities
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Beyond Stochastic Parrots
Mc Dermott, J. (Conference Organising Committee Member) & Madden, M. (Conference Organising Committee Member)
10 Apr 2025Activity: Participating in or organising an event › Organising a conference, workshop, ...
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6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024
Ullah, I. (Chaired Session)
13 Nov 2024Activity: Participating in or organising an event › Organising a conference, workshop, ...
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Conference Organizing Committee - 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing(Internal) (External organisation)
Ul Hassan, U. (Member)
9 Nov 2024 → …Activity: Membership › Membership of committee
Press/Media
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Using values-based digital technology to enhance and evaluate inter-professional education (IPE).
1/06/15
1 Media contribution
Press/Media