Dr Gelayol Golcarenarenji

Summary

Gelayol Golcarenarenji is a senior lecturer in Artificial Intelligence and machine learning at school of computing. Before joining Portsmouth university, she was a Postdoctoral research fellow for four years in artificial intelligence at University of the West of Scotland, UK, where she was working on national and European projects such as the 5G INDUCE, NG-RPAS, Arcadian-IoT, Smart crane Real-Time Object Detection’ and ‘a Smart Remotely Piloted Aircraft Systems (S-RPAS) for Real-Time detection of missing people  and her team won the CEED-SCOTLAND innovation award, and UK Times Higher Education (THE) Awards 2021 knowledge exchange award. She received a full scholarship from Australian government to do her Ph.D. degree in computer science at Deakin University, Australia, where she was involved in the automation of carbon fibre production line. Her current research interests include, artificial intelligence, applied machine learning, deep learning methods and applications, advanced material, image processing, Senor fusion, Object detection, UAVs, Autonomous veichles, 3D human motion prediction, human trajectory prediction, and VLMs among others.  She is accepting PhD students.

https://scholar.google.com/citations?user=0vhy598AAAAJ&hl=en

 

Research outputs

2026

Fed-blam: federated BERT and LLaMA for IoT malware detection

Nazaruk, C., Taheri, R., Golcarenarenji, G., Gegov, A.

10 Aug 2026, In: The Journal of Supercomputing. 82, 616, 23p., 616

Research output: Article

Explainability-driven decision gating for risk-controlled algorithmic trading

Bhoir, M. N., Rosner, A., Ichtev, A., Golcarenarenji, G., Gegov, A.

10 Aug 2026,

Research output: Conference contribution

Demystifying the black box: an explainable AI framework for transparent detection of engine assistance in chess

Durrani, S., Ichtev, A., Golcarenarenji, G., Rosner, A., Gegov, A., Adda, M.

10 Aug 2026,

Research output: Conference contribution

Surrogate decision trees for explaining black box models for breast cancer classification

Moulana, S. S. S. S., Rosner, A., Gegov, A., Golcarenarenji, G., Ichtev, A.

10 Aug 2026,

Research output: Conference contribution

Bimodal fake news detection using integrated image and text analysis

Khazaei, A., Golcarenarenji, G., Gegov, A., Itchev, A.

10 Aug 2026,

Research output: Conference contribution

Vehicle detection and damage identification for automated automotive dataset creation

Pears, J., Golcarenarenji, G., Mohasseb, A., Bader-El-Den, M.

31 Jul 2026,

Research output: Conference contribution

A transparency-by-besign framework for explainable text classification in security and risk monitoring

Mohasseb, A., Golcarenarenji, G., Ntantogian, C., Kanavos, A.

14 Jul 2026,

Research output: Conference contribution

2025

Explainable oil spill detection using UAV imagery

Golcarenarenji, G., Amer, E., Mohasseb, A., Elboghdadly, T.

21 Oct 2025,

Research output: Conference contribution

Beyond accuracy: robustness and explainability in adversarial malware detection

Amer, E., Golcarenarenji, G., Mohasseb, A., Elboghdadly, T.

21 Oct 2025,

Research output: Conference contribution

An explainable CNN-based approach for classifying Desert Lions from camera trap images

Pears, J., Golcarenarenji, G.

3 Sep 2025,

Research output: Conference contribution

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