Saber Mohamed Elsayed Elsayed

Associate Professor Saber Mohamed Elsayed Elsayed is affiliated with the School of Engineering and Information Technology (SEIT) at the University of New South Wales (UNSW) Canberra, Australia. He holds a PhD in Computer Science from UNSW Canberra (2012). His research focuses on computational intelligence, swarm guidance, and optimization, with applications in defense, logistics, engineering, and business. He serves as an Associate Editor of the IEEE Transactions on Evolutionary Computation and is a Senior IEEE member.

Education:

• PhD in Computer Science, UNSW Canberra, 2012

Research Interests:

Dr. Elsayed’s expertise spans evolutionary computation, swarm control, planning and scheduling, optimization, neural networks, and decision support systems. His work addresses challenges in autonomous systems, sensor placement, and multi-agent coordination, leveraging computational intelligence techniques.

Awards:

• Winner of IEEE CEC/WCCI competitions (2022, 2020, 2016, 2014, 2011)
• Best student paper award (2021)
• UNSW Publication Fellowship and scholarships

Grants & Mentorship:

He leads or co-leads multiple grants, including ARC DP-funded research on electric vehicle logistics (2025-2027) and DSTG-funded projects on sensor placement and swarm control. He mentors numerous PhD and Master’s students, focusing on optimization, scheduling, and swarm intelligence. Current advisees include Ahmed Gad (PhD) and Setyo Tri Windras Mara (PhD).

Teaching:

Teaches courses such as Data Structures and Representation (ZEIT2103) and Introduction to Programming (ZEIT1102).