Arsalan Lambay
Papers
4
Total Citations
32
H-Index
3
About
Arsalan Lambay is a leading researcher at the intersection of artificial intelligence, human factors engineering, and Industry 5.0. His work centers on a critical challenge in modern automation: mitigating human physical fatigue in human-centric workplaces. Lambay’s major contributions lie in pioneering the use of machine learning and deep learning models to detect, monitor, and facilitate recovery from physical exertion. He has notably advanced the field by developing novel methods for generating synthetic datasets, addressing the perennial problem of limited real-world training data. His 2024 review on machine learning-assisted fatigue detection, with 23 citations, is a foundational reference in the domain, synthesizing knowledge to bridge the gap between automation and human performance. Lambay’s research is particularly impactful for collaborative robotics (cobots) in Industry 4.0 and 5.0, where he explores how synthetic data can train robust models to reduce physical strain on workers. By combining technical innovation with a deep understanding of workplace ergonomics, Lambay is shaping a future where technology enhances, rather than replaces, human capability.
Research Focus
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Top Papers
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