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Hamam Mokayed
Hamam Mokayed

Hamam Mokayed

Postdoctoral position
Luleå University of Technology
Machine Learning
Embedded Intelligent Systems LAB
Department of Computer Science, Electrical and Space Engineering

Hamam Mokayed received his PhD from UITM, Malaysia, 2015. he has 15 intellectual properties and many publications in the field document analysis, Vehicle intelligent system , and Natural scene images. Currently, he is working as a postdoctoral researcher with Prof. Marcus Liwicki in the EISLAB Machine Learning at Luleå tekniska universitet (Luleå University of Technology), Sweden. His research interests include machine learning, pattern recognition, and artificial intelligence. He was previously working as a Senior staff researcher at MIMOS, Kuala Lumpur, Malaysia. His research interests include maching learning, image processing and system design in real time environment


Article in journal

A New DCT-PCM Method for License Plate Number Detection in Drone Images (2021)

Mokayed. H, Shivakumara. P, Hock Woon. H, Kankanhalli. M, Lu. T, Pal. U
Pattern Recognition Letters, Vol. 148, s. 45-53
Article in journal

Anomaly Detection in Natural Scene Images based on enhanced Fine-Grained Saliency and Fuzzy Logic (2021)

Mokayed. H, Shivakumara. P, Saini. R, Liwicki. M, Chee Hin. L, Pal. U
IEEE Access
Conference paper

Pedagogical Principles in the Online Teaching of NLP (2021)

A Retrospection
Kovács. G, Saini. R, Faridghasemnia. M, Mokayed. H, Adewumi. T, Alonso. P, et al.
Part of: Teaching NLP, Proceedings of the Fifth Workshop, s. 1-12, Association for Computational Linguistics (ACL), 2021
Conference paper

Static Palm Sign Gesture Recognition with Leap Motion and Genetic Algorithm (2021)

Rakesh. S, Kovács. G, Mokayed. H, Saini. R, Pal. U
Part of: 2021 Swedish Artificial Intelligence Society Workshop (SAIS), s. 54-58, IEEE, 2021