Kader Sanogo
Papers
2
Total Citations
13
H-Index
2
About
Kader Sanogo is a rising scholar in industrial engineering and intelligent manufacturing, whose research focuses on the intersection of multi-agent systems, human-robot collaboration, and scheduling optimization. His work explores how autonomous guided vehicles (AGVs) and autonomous intelligent vehicles (AIVs) can be simulated and compared in job shop environments, with a strong emphasis on incorporating human factors into production planning. Sanogo’s most-cited paper, “A multi-agent system simulation of job shop scheduling with human consideration: A comparative analysis of AGVs and AIVs” (2024, 9 citations), provides a foundational framework for understanding how human behavior impacts automated scheduling decisions. He further extends this line of inquiry by applying game theory to optimize job shop scheduling in shared human–robot spaces (2025, 4 citations), offering novel strategies for balancing efficiency, safety, and fairness. Though early in his career, Sanogo’s work is already gaining traction for its practical relevance to smart factories and Industry 5.0. His contributions are particularly notable for bridging simulation, game theory, and human-centered automation, making him a promising voice in the future of collaborative manufacturing.
Research Focus
Key Achievements
Top Papers
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