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About

Amir Nourmohammadi is a prominent researcher specializing in human-robot collaboration (HRC), assembly line balancing, and intelligent manufacturing optimization — areas sitting at the intersection of Industry 4.0 and Industry 5.0 paradigms. His work addresses one of modern manufacturing's most pressing challenges: how to optimally integrate collaborative robots alongside human workers to enhance both productivity and worker well-being. Nourmohammadi's most impactful contribution, "Balancing and scheduling assembly lines with human-robot collaboration tasks" (2021), has accumulated 150 citations, establishing him as a leading voice in HRC assembly line design. This foundational work has inspired a productive research trajectory exploring layout considerations, heterogeneous operator environments, and multi-objective optimization balancing cycle time against robot energy expenditure. Notably, his 2023 study introduced stochastic modeling of uncertain human processing times — a methodologically significant advancement that brings greater real-world realism to theoretical models. His toolkit spans metaheuristic approaches such as genetic algorithms, constraint programming, and multi-objective optimization frameworks, often validated through real-world automotive industry case studies. With over 220 cumulative citations across six key publications, Nourmohammadi's research meaningfully shapes how industries design resilient, human-centric production systems for the collaborative manufacturing era.