Alireza Sanaei
Papers
3
Total Citations
53
H-Index
2
About
Alireza Sanaei is a researcher working at the intersection of artificial intelligence, robotics, and human-computer interaction, with a particular focus on rehabilitation technology, autonomous navigation, and aerial systems. His most influential contribution, "ReHabGame," introduced an adaptive self-organizing fuzzy logic controller embedded within a serious game platform designed to assist patients with neuromuscular disorders — a creative fusion of gaming technology and rehabilitation robotics that has garnered 27 citations and demonstrated meaningful clinical applicability. Building on his AI expertise, Sanaei has also made significant strides in autonomous mobile robotics, with his 2022 work on deep convolutional neural networks for ground vehicle navigation accumulating 24 citations, underscoring the growing relevance of his computer vision approaches for real-world intelligent systems. Further broadening his portfolio, Sanaei has explored UAV applications, developing a mixed reality-based fire detection system that integrates ROS and computer vision for aerial monitoring tasks. Across these diverse but interconnected domains, his work consistently applies cutting-edge machine learning and control theory to solve tangible engineering challenges, making him a noteworthy contributor to the fields of intelligent robotics and assistive technology.
Research Focus
Key Achievements
Top Papers
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