Saber Elsayed

Saber Elsayed is an Associate Professor at the School of Engineering and Information Technology (SEIT), University of New South Wales (UNSW) Canberra, Australia. He earned his PhD in Computer Science from UNSW Canberra in 2012 and has established himself as a leading researcher in computational intelligence and swarm guidance with significant contributions to defense, logistics, engineering, and business applications.

Dr. Elsayed's primary research focuses on computational intelligence and swarm guidance, with specialization in evolutionary algorithms, differential evolution, and optimization techniques for constrained and dynamic environments. His work addresses complex problems in project portfolio selection and scheduling, resource-constrained project management, electric vehicle-drone routing systems, and swarm shepherding applications. His research demonstrates a strong emphasis on translating theoretical advances into practical solutions for real-world challenges, particularly in defense contexts.

His recent publications reveal a clear trajectory toward addressing increasingly complex large-scale optimization problems, with growing integration of swarm intelligence methods in practical applications. There's a notable emphasis on military and defense applications, particularly in sensor placement, battlefield surveillance, and autonomous systems. His work increasingly bridges theoretical optimization with practical implementation in electric vehicle-drone logistics and swarm control systems operating in complex environments.

• Winner of the IEEE WCCI/CEC 2022 Competition
• Multiple competition wins at top conferences in computational intelligence and optimization fields

Dr. Elsayed has secured substantial research funding from diverse sources including the Australian Research Council (ARC), Defence Science and Technology Group (DSTG), Office of Naval Research Global, and industry partners. His current portfolio includes the ARC DP grant 'Evolutionary Framework for Electric Vehicles and Drones Logistics Systems' (2025-2027, $547K), multiple DSTG projects on sensor placement and portfolio optimization, and collaborative defense-related research totaling over $2 million in active funding. He actively collaborates with researchers across Australia and internationally, particularly in the areas of swarm intelligence and defense applications.