Fahad Ebrahim

Fahad Ebrahim

PhD Candidate in Computer Science, University of Warwick. Research in AI applied to Education, NLP, and Plagiarism Detection.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

An Empirical Study of Fine-Tuning Pre-Trained Code Models and Adapters for the Classification of Source Code Plagiarism Instances

Published in Applied Sciences, 16(14), 7156, 2026

An empirical evaluation of full and parameter-efficient fine-tuning for source code plagiarism classification.

Recommended citation: Fahad Ebrahim, Mike Joy. (2026). "An Empirical Study of Fine-Tuning Pre-Trained Code Models and Adapters for the Classification of Source Code Plagiarism Instances." Applied Sciences, 16(14), 7156. https://doi.org/10.3390/app16147156.
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Performance Analysis of Video Codecs Using Transport Stream Video

Published in Advanced Science Letters, 2015

Performance analysis of video codecs using transport stream video.

Recommended citation: Mohammad H. Al Shayeji, Fahad Ebrahim, M. D. Samrajesh. (2015). "Performance Analysis of Video Codecs Using Transport Stream Video." Advanced Science Letters. 21(1), pp. 102-106.

Conference Papers

MVPlag: A Multi-View Source Code Plagiarism Detection Framework

Accepted for publication at 25th UK Workshop on Computational Intelligence (UKCI 2026), 2026

A multi-view framework combining semantic, lexical, structural, and edit-distance evidence for source code plagiarism detection.

Recommended citation: Fahad Ebrahim, Mike Joy. (2026). "MVPlag: A Multi-View Source Code Plagiarism Detection Framework." 25th UK Workshop on Computational Intelligence (UKCI 2026). Accepted for publication.

Can Code Evaluation Metrics Detect Code Plagiarism?

Accepted for publication at 4th International Workshop on Evaluation and Assessment in Software Engineering Education and Training (LEARNER 2026), co-located with EASE 2026, 2026

A study of whether code evaluation metrics can detect code plagiarism.

Recommended citation: Fahad Ebrahim, Mike Joy. (2026). "Can Code Evaluation Metrics Detect Code Plagiarism?" LEARNER 2026, co-located with EASE 2026. Accepted for publication. arXiv:2604.25778.
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Semantic Similarity Search for Source Code Plagiarism Detection: An Exploratory Study

Published in Proceedings of the 2024 Innovation and Technology in Computer Science Education V.1 (ITiCSE 2024), 2024

An exploratory study on using semantic similarity search for source code plagiarism detection.

Recommended citation: Fahad Ebrahim, Mike Joy. (2024). "Semantic Similarity Search for Source Code Plagiarism Detection: An Exploratory Study." ITiCSE 2024. Milan, Italy.

Few-Shot Issue Report Classification with Adapters

Published in 2024 ACM/IEEE International Workshop on NL-based Software Engineering (NLBSE 2024), 2024

Few-shot issue report classification using adapters. Winner of the Best Tool award at NLBSE 2024 (ICSE 2024 workshop).

Recommended citation: Fahad Ebrahim, Mike Joy. (2024). "Few-Shot Issue Report Classification with Adapters." NLBSE 2024. Lisbon, Portugal.

Source Code Plagiarism Detection with Pre-Trained Model Embeddings and Automated Machine Learning

Published in Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (RANLP 2023), 2023

Source code plagiarism detection using pre-trained model embeddings and AutoML.

Recommended citation: Fahad Ebrahim, Mike Joy. (2023). "Source Code Plagiarism Detection with Pre-Trained Model Embeddings and Automated Machine Learning." RANLP 2023. Varna, Bulgaria. pp. 301-309.