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Mr. Ismail Alarab, a P.hD researcher in Creative Technology Department.
He completed a bachelor degree in telecommunication engineering. He also received Msc in 'Signal and Image Processing: Applications and Methods'. He is currently pursuing Ph.D in developing machine learning methods for blockchain.
Research Topic: Novel Machine Learning Methods for Blockchain
- 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.
- Alarab, I. and Prakoonwit, S., 2021. Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks. Neural Processing Letters.
- Alarab, I., Prakoonwit, S. and Nacer, M.I., 2020. Comparative Analysis Using Supervised Learning Methods for Anti-Money Laundering in Bitcoin. PervasiveHealth: Pervasive Computing Technologies for Healthcare, 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.