Mahdi Mokhtarzadeh
The University of Texas at Dallas, University of Tehran, Ghent University
Papers
3
Total Citations
151
H-Index
3
About
Mahdi Mokhtarzadeh is a leading researcher in the optimization of human–robot collaboration (HRC) within manufacturing systems, with a focus on assembly line balancing and scheduling. His work addresses the critical challenge of integrating robots alongside human workers to enhance productivity while minimizing ergonomic risks. In his highly cited 2021 paper (95 citations), he developed a framework for balancing collaborative assembly lines that simultaneously optimizes cycle time and ergonomic strain, determining the optimal number, type, and placement of robots. He further advanced the field with a constraint programming approach for scheduling HRC in printed circuit board assembly (53 citations), ensuring efficient task allocation and sequencing. Most recently, he has explored parallel metaheuristics for solving complex U-shaped robotic assembly line problems. Mokhtarzadeh’s contributions are pivotal for designing safer, more efficient smart factories, directly impacting Industry 4.0 and 5.0 practices. His research is widely referenced by scholars and practitioners aiming to implement collaborative robotics in real-world production environments.
Research Focus
Key Achievements
Top Papers
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