Ismail Alarab

Biography
Research

Biography

Ismail Alarab, PhD

Lecturer in Computer Science

Dr. Ismail Alarab is a Lecturer in Computer Science with a research in applied artificial intelligence, including blockchain technology, and other real-world applications. In December 2022, he completed his PhD under the title "Novel Machine Learning Models Based on Uncertainty Estimation and Sequential Predictions for Blockchain Networks" from Bournemouth University.

He holds a Diploma in Telecommunication Engineering (equivalent to MEng) from the Lebanese University, with MSc in Signal and Image Processing: Applications and Methods from the Université Grenoble Alpes, a PGCert in Higher Education from Bournemouth University, and holds the Higher Education Academy (HEA) Fellowship.

Dr. Alarab teaches topics including Artificial Intelligence, Databases, Big Data, Blockchain, and Programming. His teaching combines practical and theoretical approaches to emerging technologies in data science and AI. Recently, he has focused on applications relevant to industry, particularly through Knowledge Transfer Partnerships (KTPs), with growing interests in Large Language Models (LLMs) and Agentic AI.

Research

Applied AI, Machine Learning, Blockchain & Distributed Ledger Technologies, XAI, Large Language Models (LLMs), Agentic AI.

Journal Articles

Alarab, I., Prakoonwit, S., 2024. Robust recurrent graph convolutional network approach based sequential prediction of illicit transactions in cryptocurrencies. Multimedia Tools and Applications, 83 (20), 58449-58464.
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Alarab, I., Prakoonwit, S., 2023. Uncertainty estimation-based adversarial attacks: a viable approach for graph neural networks. Soft Computing, 27 (12), 7925-7937.
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Alarab, I., Prakoonwit, S., 2023. Graph-Based LSTM for Anti-money Laundering: Experimenting Temporal Graph Convolutional Network with Bitcoin Data. Neural Processing Letters, 55 (1), 689-707.
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Alarab, I., Prakoonwit, S., 2023. Uncertainty estimation based adversarial attack in multi-class classification. Multimedia Tools and Applications, 82 (1), 1519-1536.
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Alarab, I., Prakoonwit, S., 2022. Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks. Neural Processing Letters, 54 (3), 1805-1821.
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Alarab, I., Prakoonwit, S., 2022. Effect of data resampling on feature importance in imbalanced blockchain data: Comparison studies of resampling techniques. Data Science and Management, 5 (2), 66-76.
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Alarab, I., Prakoonwit, S., Nacer, M.I., 2021. Illustrative Discussion of MC-Dropout in General Dataset: Uncertainty Estimation in Bitcoin. Neural Processing Letters, 53 (2), 1001-1011.
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Chapters

Nacer, M.I., Prakoonwit, S., Alarab, I., 2021. Blockchain as a Complementary Technology for the Internet of Things: A Survey. International Series in Operations Research and Management Science.
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Nacer, M.I., Prakoonwit, S., Alarab, I., 2021. The Combination of AI, Blockchain, and the Internet of Things for Patient Relationship Management. International Series in Operations Research and Management Science.
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Conferences

Xu, W., Alarab, I., Lloyd-Buckingham, C., Bowden, S., Noer, B., Charles, F., Prakoonwit, S., Callaway, A., Ellis, S., Jones, C., 2022. Re-enacting Football Matches in VR using Virtual Agents' Realistic Behaviours. Proceedings 2022 IEEE International Conference on Artificial Intelligence and Virtual Reality Aivr 2022, 119-123.
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Nacer, M.I., Prakoonwit, S., Alarab, I., 2020. TheChain: A fast, secure and parallel treatment of transactions. ACM International Conference Proceeding Series, 81-89.
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Alarab, I., Prakoonwit, S., Nacer, M.I., 2020. Comparative Analysis Using Supervised Learning Methods for Anti-Money Laundering in Bitcoin. ACM International Conference Proceeding Series, 11-17.
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Alarab, I., Prakoonwit, S., Nacer, M.I., 2020. Competence of graph convolutional networks for anti-money laundering in bitcoin blockchain. ACM International Conference Proceeding Series, 23-27.
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Profile of Teaching PG
Profile of Teaching UG

Profile of Teaching PG

Data Processing and Analytics
Blockchain and Digital Futures

Profile of Teaching UG

Programming
Mathematics for Computer Graphics
Programming for Games Software Engineering

Grants

Grants

KTP - Intelligent moderation and assistance for commercial image sharing website Videscape t/a ClickASnap (Innovate UK, 22 Apr 2025). In Progress
KTP - Intelligent moderation and assistance for commercial image sharing website Videscape t/a ClickASnap (Innovate UK, 22 Apr 2025). In Progress

External Responsibilities

University of Malta, Non-Visiting External Examiner (2024-2025)
IEEE transactions on knowledge and data engineering, Reviewer
Elsevier, Neural Networks, Reviewer

Internal Responsibilities

Academic Placement Tutor, School of Computing and Engineering
L5 Level Lead, School of Computing and Engineering

Journal Reviewing/Refereeing

Neural Networks, Anonymous peer review, 01 Sep 2023
Mathematics, Anonymous peer review, 01 Sep 2022
Multimedia Tools and Applications, Anonymous peer review, 01 Sep 2021
Data Technologies and Applications, 01 Sep 2020
EPJ Data Science, Anonymous peer review, 01 Sep 2020
IEEE Transactions on Knowledge and Data Engineering, Anonymous peer review, 01 Sep 2020
International journal of big data and analytics in healthcare, Anonymous peer review, 01 Sep 2020
Neural Computing and Applications, Anonymous peer review, 01 Sep 2020
IEEE Transactions on Computational Social Systems, Anonymous peer review, 01 Sep 2019