Hossam Meshref
Papers
3
Total Citations
59
H-Index
3
About
Hossam Meshref is a pioneer in the application of artificial immune systems (AIS) to robotics and autonomous agents. His foundational work, including the highly cited paper “Artificial immune systems: application to autonomous agents” (2002, 39 citations), established how the biological principles of immune defense can be translated into computational models for controlling complex, distributed systems. Meshref further advanced this field by simulating immune network dynamics for reactive robot arm control, demonstrating how AIS can manage unknown environments without pre-programmed instructions. More recently, he has expanded into deep learning, contributing to facial expression recognition with his 2022 study on the impact of activation, optimization, and regularization methods in convolutional neural networks (12 citations). This work bridges his early bio-inspired control research with modern computer vision, highlighting his versatility in both classical and contemporary AI. Meshref’s career reflects a unique trajectory from immune-inspired robotics to human-computer interaction, making him a notable figure for students interested in biologically motivated AI and its real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Artificial immune systems: application to autonomous agents39 citations · 2002
- 2
- 3Immune network simulation of reactive control of a robot arm manipulator8 citations · 2002