Research Assistant Professor

Dr Shahnawaz ANWER

BSc, MSc, PhD (PolyU)

BC516
2766 6711
shah-nawaz.anwer@polyu.edu.hk
Sports Science and Musculoskeletal Health

Google Scholar

Biography

Dr Shahnawaz Anwer obtained his BSc in Physiotherapy and Masters in Physiotherapy (Orthopedics), both at the Jamia Hamdard University, New Delhi, India. Dr. Anwer obtained his PhD in Ergonomics and Sensing Technology from the Hong Kong Polytechnic University, Hong Kong. Dr Anwer is currently a Research Assistant Professor in Sports Science and Musculoskeletal Health, Department of Rehabilitation Sciences at The Hong Kong Polytechnic University, Hong Kong.

His research interests focus on ergonomics, wearable sensing technology, mental and physical fatigue, and work-related musculoskeletal disorders.

Dr Anwer was recognized as the World’s Top 2% Researcher in the years 2023 and 2024 by Stanford University. He was also recognized as top 1% of scholars globally by ScholarGPS in medicine (0.74%), physical medicine and rehabilitation (0.42%), Psychometrics (0.16%), and musculoskeletal disorders (0.3%) over the last 5 years (Shahnawaz Anwer | Scholar Profiles and Rankings | ScholarGPS).

He has published more than 130 research papers in highly impactful reputed journals. His H-index is 47 and i-10 index is 100. His articles received more than 6400 citations.

Dr Anwer is the recipient of the Healthcare young investigator award in 2022 and Occupational safety and Health (OSH) award in 2021. He is an academic editor of PloS One and BMC Musculoskeletal Disorder journals. He also acting as a guest editor for many journals including BMC Medicine and Healthcare.

Education and Academic Qualifications

Bachelor in Physiotherapy, Hamdard University, India
Masters in Physiotherapy (Orthopedics), Hamdard University, India
Doctor of Philosophy in Ergonomics and Sensing Technology, The Hong Kong Polytechnic University

Teaching Area

Research Methods

Movement Science

Musculoskeletal Physiotherapy

Research Interests

Research Output

Umer, W., Mehmood, I., Qarout, Y., Antwi-Afari, M. F., & Anwer, S. (2025). Deep learning-based fatigue monitoring of construction workers using physiological signals. Automation in Construction, 177, 106356.
Ma, J., Li, H., Anwer, S., Umer, W., Antwi-Afari, M. F., & Xiao, E. B. (2024). Evaluation of sweat-based biomarkers using wearable biosensors for monitoring stress and fatigue: a systematic review. International Journal of Occupational Safety and Ergonomics, 30(3), 677-703.
Anwer, S., Li, H., Antwi-Afari, M. F., Mirza, A. M., Rahman, M. A., Mehmood, I., ... & Wong, A. Y. L. (2024). Evaluation of data processing and artifact removal approaches used for physiological signals captured using wearable sensing devices during construction tasks. Journal of Construction Engineering and Management, 150(1), 03123008.
Anwer, S., Li, H., Anwar, D., & Wong, A. Y. L. (2024). Biomechanical principles of exercise prescription in knee rehabilitation. In Cartilage Tissue and Knee Joint Biomechanics (pp. 617-631). Academic Press.
Ma, J., Li, H., Huang, X., Fang, B., Zhao, Z., Mehmood, I., ... & Anwer, S. (2023). Fatigue assessment of construction equipment operators using a sweat lactate biosensor. International Journal of Industrial Ergonomics, 96, 103472.
Anwer, S., Li, H., Umer, W., Antwi-Afari, M. F., Mehmood, I., Yu, Y., ... & Wong, A. Y. L. (2023). Identification and classification of physical fatigue in construction workers using linear and nonlinear heart rate variability measurements. Journal of Construction Engineering and Management, 149(7), 04023057.
Mehmood, I., Li, H., Umer, W., Arsalan, A., Anwer, S., Mirza, M. A., ... & Antwi-Afari, M. F. (2023). Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography, electrodermal activity, and video signals. Developments in the Built Environment, 15, 100198.
Antwi-Afari, M. F., Li, H., Chan, A. H. S., Seo, J., Anwer, S., Mi, H. Y., ... & Wong, A. Y. L. (2023). A science mapping-based review of work-related musculoskeletal disorders among construction workers. Journal of safety research, 85, 114-128. [highly cited paper]
Anwer, S., Li, H., Antwi-Afari, M. F., Umer, W., Mehmood, I., & Wong, A. Y. L. (2022). Effects of load carrying techniques on gait parameters, dynamic balance, and physiological parameters during a manual material handling task. Engineering, Construction and Architectural Management, 29(9), 3415-3438.
Munshi, P., Khan, M. H., Arora, N. K., Nuhmani, S., Anwer, S., Li, H., & Alghadir, A. H. (2022). Effects of plyometric and whole-body vibration on physical performance in collegiate basketball players: a crossover randomized trial. Scientific reports, 12(1), 5043.
Anwer, S., Li, H., Antwi-Afari, M. F., & Wong, A. Y. L. (2021). Associations between physical or psychosocial risk factors and work-related musculoskeletal disorders in construction workers based on literature in the last 20 years: A systematic review. International Journal of Industrial Ergonomics, 83, 103113. [highly cited paper]
Anwer, S., Li, H., Antwi-Afari, M. F., Umer, W., Mehmood, I., Al-Hussein, M., & Wong, A. Y. L. (2021). Test-retest reliability, validity, and responsiveness of a textile-based wearable sensor for real-time assessment of physical fatigue in construction bar-benders. Journal of Building Engineering, 44, 103348. [highly cited paper]