Yassine Himeur
Information Technology University, University of Dubai, University of Biskra
Papers
4
Total Citations
92
H-Index
3
About
Yassine Himeur is a rising researcher whose work spans cybersecurity, educational robotics, and autonomous systems. His most impactful contribution, a 2024 review on reinforcement-learning-based intrusion detection in communication networks (67 citations), addresses the critical vulnerability of modern industrial control systems connected to the internet—proposing timely, AI-driven protection measures. In educational technology, Himeur advocates for a holistic integration of robots into computer science curricula (20 citations), demonstrating how programmable machines can enhance hands-on learning. He also explores advanced mathematical methods for medical robotics, notably applying homotopy continuation to path-planning in robotic-assisted surgery, and has contributed to quadrotor dynamics through NARX neural network modeling. With a growing citation footprint and work published as recently as 2024, Himeur is establishing himself at the intersection of reinforcement learning, robotics, and cybersecurity—offering practical solutions for secure, intelligent, and educational autonomous systems.
Research Focus
Key Achievements
Top Papers
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