Research output per year
Research output per year
Personal profile
Education/Academic qualification
Construction Managment, PhD, Hong Kong Polytechnic University
Construction Managment, MSc, King Fahd University of Petroleum and Minerals
Civil Engineering, BEng (Hons), University of Engineering and Technology Lahore
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Dive into the research topics where Waleed Umer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Critical success factors for implementing blockchain technology in construction
Sun, W., Antwi-Afari, M. F., Mehmood, I., Anwer, S. & Umer, W., 1 Dec 2023, In: Automation in Construction. 156, 17 p., 105135.Research output: Contribution to journal › Review article › peer-review
Open AccessFile -
Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data
Mehmood, I., Li, H., Qarout, Y., Umer, W., Anwer, S., Wu, H., Hussain, M. & Fordjour Antwi-Afari, M., Apr 2023, In: Advanced Engineering Informatics. 56, p. 1-18 18 p., 101978.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Identification and Classification of Physical Fatigue in Construction Workers Using Linear and Nonlinear Heart Rate Variability Measurements
Anwer, S., Li, H., Umer, W., Antwi-Afari, M. F., Mehmood, I., Yu, Y., Haas, C. & Wong, A. Y. L., 1 Jul 2023, In: Journal of Construction Engineering and Management. 149, 7, p. 1-16 16 p., 04023057.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)2 Downloads (Pure) -
Machine learning-based identification and classification of physical fatigue levels: A novel method based on a wearable insole device
Antwi-Afari, M. F., Anwer, S., Umer, W., Mi, H-Y., Yu, Y., Moon, S. & Hossain, M. U., 1 Jan 2023, In: International Journal of Industrial Ergonomics. 93, 11 p., 103404.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography, electrodermal activity, and video signals
Mehmood, I., Li, H., Umer, W., Arsalan, A., Anwer, S., Mirza, M. A., Ma, J. & Antwi-Afari, M. F., 1 Oct 2023, In: Developments in the Built Environment. 15, 100198.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)10 Downloads (Pure)