Aboul Ella Hassanien
Scientific Research Group in Egypt, Ain Shams University, Cairo University
Papers
12
Total Citations
476
H-Index
10
About
Aboul Ella Hassanien is a prolific researcher and academic organizer whose work spans artificial intelligence, intelligent systems, robotics, and machine learning. He is perhaps best recognized for his contributions to autonomous robotics and path planning, most notably demonstrated in his highly cited 2017 paper on Bézier curve-based path planning using a modified genetic algorithm, which has garnered over 260 citations and represents a significant advance in dynamic environment navigation for autonomous systems. His research into multi-robot coordination is equally noteworthy, with his PSO-inspired frontier-based map exploration algorithm offering elegant solutions to the challenge of deploying teams of robots in unknown environments. Beyond individual publications, Hassanien has made a lasting institutional impact through his leadership of the International Conference on Advanced Intelligent Systems and Informatics (AISI), a recurring venue that has helped shape the regional and global discourse on AI and intelligent computing. His edited volumes on advanced machine learning technologies and robotics further reflect his commitment to disseminating knowledge broadly. More recently, his work on deep reinforcement learning for autonomous robot navigation signals a continued evolution toward cutting-edge AI methodologies, cementing his reputation as a versatile and enduringly influential figure in applied intelligent systems research.
Research Focus
Key Achievements
Top Papers
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- 4International Conference on Innovative Computing and Communications26 citations · 2020
- 5Advances in Robotics and Virtual Reality20 citations · 2011
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- 8Advanced Machine Learning Technologies and Applications18 citations · 2021
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