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Saber Elsayed (M’10) received the Ph.D. degree in computer science from the University of New South Wales at Canberra, Canberra, ACT, Australia, in 2012.
He is currently a Research Associate with the School of Engineering and Information Technology, University of New South Wales at Canberra. His current research interests include evolutionary algorithms, constraint-handling techniques for evolutionary algorithms, scheduling, big data, and cybersecurity using computational intelligence.
Dr. Elsayed was a recipient of several IEEE-CEC competitions. He serves as a Reviewer for several international journals. He is an Editorial Board Member of the International Journal of Business Intelligence and Data Mining. He was a member of the organizing committee of several international conferences.
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SWARM AND EVOLUTIONARY COMPUTATION (2024): 101466-101466
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)pp.5224-5230, (2023)
2023 IEEE Congress on Evolutionary Computation (CEC)pp.1-8, (2023)
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CoRR (2023): 1-6
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