Muhammad Haris Kaka Khel
Papers
1
Total Citations
2
H-Index
1
About
Muhammad Haris Kaka Khel is a rising researcher whose work is shaping the future of autonomous navigation and intelligent urban systems. His primary research areas center on pedestrian trajectory prediction, graph neural networks, and spatial-temporal modeling. Kaka Khel’s major contribution lies in developing advanced predictive models that enhance the safety and efficiency of autonomous vehicles and robots in crowded environments. His most notable work, "GSTGM: Graph, spatial–temporal attention and generative based model for pedestrian multi-path prediction" (2024), introduces a novel framework that integrates graph-based reasoning with spatial-temporal attention mechanisms to forecast multiple plausible pedestrian paths. This approach addresses the inherent uncertainty in human movement, a critical challenge for real-world deployment of autonomous systems. With 2 citations already, this paper is gaining traction for its innovative methodology. Kaka Khel’s research not only advances theoretical understanding but also offers practical solutions for safer human-robot interaction, making him a promising voice in the field of intelligent transportation and robotics.
Research Focus
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Top Papers
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