Ismail Alarab
- 01202965075
- ialarab at bournemouth dot ac dot uk
- http://orcid.org/0000-0001-8320-6423
- Lecturer in Computer Science
- Poole House P334b, Talbot Campus, Fern Barrow, Poole, BH12 5BB
- Keywords:
- Machine learning
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Biography
Dr Ismail Alarab has completed his PhD under the title "Novel Machine Learning Models Based Uncertainty Estimation and Sequential Predictions for Blockchain Networks" in December 2022 at Bournemouth University, UK.
Before that, he completed a bachelor degree in telecommunication engineering at Lebanese University, Lebanon. He also received Msc in 'Signal and Image Processing: Applications and Methods' in University of Grenoble, France.
Research
Research Topic: Novel Machine Learning Models Based Uncertainty Estimation and Sequential Predictions for Blockchain Networks
Journal Articles
- Alarab, I. and 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.
- Alarab, I. and Prakoonwit, S., 2023. Uncertainty estimation-based adversarial attacks: a viable approach for graph neural networks. Soft Computing, 27 (12), 7925-7937.
- Alarab, I. and 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.
- Alarab, I. and Prakoonwit, S., 2023. Uncertainty estimation based adversarial attack in multi-class classification. Multimedia Tools and Applications, 82 (1), 1519-1536.
- Alarab, I. and Prakoonwit, S., 2022. Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks. Neural Processing Letters, 54 (3), 1805-1821.
- Alarab, I. and 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.
- Alarab, I., Prakoonwit, S. and Nacer, M.I., 2021. Illustrative Discussion of MC-Dropout in General Dataset: Uncertainty Estimation in Bitcoin. Neural Processing Letters, 53 (2), 1001-1011.
Chapters
- Nacer, M.I., Prakoonwit, S. and Alarab, I., 2021. Blockchain as a Complementary Technology for the Internet of Things: A Survey. International Series in Operations Research and Management Science. 1-24.
- Nacer, M.I., Prakoonwit, S. and 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. 49-65.
Conferences
- Xu, W., Alarab, I., Lloyd-Buckingham, C., Bowden, S., Noer, B., Charles, F., Prakoonwit, S., Callaway, A., Ellis, S. and 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.
- Nacer, M.I., Prakoonwit, S. and Alarab, I., 2020. TheChain: A fast, secure and parallel treatment of transactions. ACM International Conference Proceeding Series, 81-89.
- Alarab, I., Prakoonwit, S. and Nacer, M.I., 2020. Comparative Analysis Using Supervised Learning Methods for Anti-Money Laundering in Bitcoin. ACM International Conference Proceeding Series, 11-17.
- Alarab, I., Prakoonwit, S. and Nacer, M.I., 2020. Competence of graph convolutional networks for anti-money laundering in bitcoin blockchain. ACM International Conference Proceeding Series, 23-27.