Personal profile
Research areas
Research areas include the intersection of computer science and the humanities, with a focus on computational approaches to decision-making, recommender systems, fairness, and explainability. Exploring how intelligent systems can support and influence human choices, with attention to both the technical design of algorithms and the broader implications of their use. Key themes include developing systems that are transparent, trustworthy, and responsive to user needs, while also considering questions of equity, accountability, and interpretability. The aim is to better understand how complex data-driven systems can be designed to work effectively and ethically, drawing on both technical methods and critical perspectives.
Education/Academic qualification
Computer Science , PhD, PhD Computer Science
Current external positions
eXplainable Artificial Intelligence Hub - Steering Committee
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Collaborations and top research areas from the last five years
Research output
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How fair were COVID-19 restriction decisions? A data-driven investigation of England using the dominance-based rough sets approach
Abel, E. & Siraj, S., Oct 2022, (In preparation) In: arxiv.org.Research output: Contribution to journal › Journal article › Research
File121 Downloads (Pure) -
User driven multi-criteria source selection
Abel, E., Keane, J., Paton, N. W., Fernandes, A. A. A., Koehler, M., Konstantinou, N., Cortes Rios, J. C., Azuan, N. A. & Embury, S. M., 2018, In: Information Sciences. 430-431, p. 179-199Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
The VADA architecture for cost-effective data wrangling
Konstantinou, N., Koehler, M., Abel, E., Civili, C., Neumayr, B., Sallinger, E., Fernandes, A. A. A., Gottlob, G., Keane, J. A., Libkin, L. & Paton, N. W., 2017, Proceedings of the ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1599–1602Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Inconsistency reduction in decision making via multi-objective optimisation
Abel, E., Mikhailov, L. & Keane, J., 2018, In: European Journal of Operational Research. 267, 1, p. 212-226Research output: Contribution to journal › Journal article › Research › peer-review
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Targeted evidence collection for uncertain supplier selection
Abel, E., Ríos, J. C. C., Paton, N. W., Keane, J. A. & Fernandes, A. A. A., Nov 2020, In: Expert Systems with Applications. 159, 15 p., 113583.Research output: Contribution to journal › Journal article › Research › peer-review
Datasets
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Covid-19 UK government, winter 2020, Tiered restrictions data
Abel, E. (Creator) & Siraj, S. (Creator), Zenodo.org, 21. Oct 2022
DOI: 10.5281/zenodo.8191880, https://zenodo.org/record/8191880
Dataset
Press/Media
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Generationer reagerer forskelligt på digitale mennesker
15/09/2025
1 Media contribution
Press/Media: Press / Media