Zohreh Zakeri

Nottingham Trent University

Papers

4

Total Citations

45

H-Index

4

About

Zohreh Zakeri is an emerging researcher at the intersection of human-robot interaction, cognitive neuroscience, and smart manufacturing. Her work focuses on understanding how humans psychologically and physiologically respond to working alongside collaborative robots (cobots) in Industry 5.0 environments — a timely and critical area as automation continues to reshape modern workplaces. Zakeri's most significant contributions involve the multimodal assessment of cognitive workload, combining neural, subjective, and behavioral measures to build a comprehensive picture of worker experience in smart factory settings. Her most-cited paper (2023, accumulating approximately 35 citations across versions) demonstrates the value of integrating EEG-based neuroimaging with self-reported and performance data to evaluate mental demands in human-robot collaboration (HRC). Complementing this, her 2022 work on trust and safety in autonomous systems develops physiological and behavioral correlates to help quantify — and ultimately improve — worker trust in cobots, while her 2024 neuroimaging study advances psychological safety frameworks within HRC contexts. With a growing citation record and research addressing genuine industrial challenges, Zakeri represents a compelling voice in the push to make human-centered automation safer, more transparent, and mentally sustainable for workers navigating the evolving factory floor.

Research Focus

Key Achievements

4
H-Index
4
Papers
45
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Multimodal Assessment of Cognitive Workload Using Neural, Subjective and Behavioural Measures in Smart Factory Settings
25 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nottingham Trent University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago