Houssem Eddine Nouri
Institut Supérieur de Gestion de Tunis, Tunis University, Manouba University
Papers
5
Total Citations
192
H-Index
3
About
Houssem Eddine Nouri is a researcher specializing in intelligent manufacturing systems, metaheuristic optimization, and multi-agent modeling. His primary contributions lie in the simultaneous scheduling of machines and transport robots within flexible job shop environments—a complex problem where production and material handling must be coordinated in real time. Nouri pioneered hybrid metaheuristics integrated with clustered holonic multiagent models, enabling dynamic, decentralized control of both production resources and robotic transporters. His most influential work, "Simultaneous scheduling of machines and transport robots in flexible job shop environment using hybrid metaheuristics based on clustered holonic multiagent model" (2016), has garnered 129 citations, underscoring its impact on production scheduling and robotics research. He further extended these methods to job shop environments with single and multiple transport robots, addressing real-world challenges in robotic cell control. More recently, Nouri has explored deep learning applications, as seen in his work on handwritten digit recognition for automated academic transcript entry. His research bridges theoretical optimization with practical industrial automation, offering scalable solutions for smart manufacturing systems.
Research Focus
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Top Papers
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