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Dr Waleed Umer

Assistant Professor

Department: Architecture and Built Environment

My interdisciplinary research integrates advancements in health sciences, artificial intelligence & machine learning, and digital technologies to address critical issues in the construction industry. With my collaborators, I have explored several key areas: (1) real-time location monitoring using ultra-wide band sensors, (2) ergonomic evaluation of workers using electromyography & motion sensors, (3) investigating factors leading to fall accidents using force-plate and inertial measurement units, (4) mental fatigue monitoring with eye-tracking technology, electroencephalography, and computer vision sensors, and (5) physical fatigue prediction for construction workers using physiological and computer vision sensors. Some notable outputs from these research endeavors include: (1) Development of a tool to monitor balance of construction workers, (2) A novel methodology to assess fatigue using heart rate variability metrics, (3) Fatigue monitoring by fusing vision and foot-pressure sensors using inverse dynamic modelling. My current work focuses on: (1) augmented reality and Vision-Language Models (VLMs) powered solutions, (2) developing human-robot collaboration tools, and (3) exploring innovative methods for accurate fatigue monitoring.

I have worked on several funded research projects as PI and co-PI with a combined funding of over £300,000. These projects were funded by Research Grant Council of Hong Kong and Ministry of Higher Education, Saudi Arabia.

Waleed Umer

  • Please visit the Pure Research Information Portal for further information
  • A Framework for Assessing the Impacts of COVID-19 on the Construction Industries in Developing Countries, Islam, M., Hadidi, L., Haque, M., Umer, W., Navitas, P. 1 Oct 2024, In: Journal of Performance of Constructed Facilities
  • Artificial Intelligence in Net-Zero Carbon Emissions for Sustainable Building Projects: A Systematic Literature and Science Mapping Review, Li, Y., Antwi-Afari, M., Anwer, S., Mehmood, I., Umer, W., Mohandes, S., Wuni, I., Abdul-Rahman, M., Li, H. 2 Sep 2024, In: Buildings
  • Assessment of Construction Workers’ Spontaneous Mental Fatigue Based on Non-Invasive and Multimodal In-Ear EEG Sensors, Fang, X., Li, H., Ma, J., Xing, X., Fu, Z., Antwi-Afari, M., Umer, W. 5 Sep 2024, In: Buildings
  • Evaluation of sweat-based biomarkers using wearable biosensors for monitoring stress and fatigue: a systematic review, Ma, J., Li, H., Anwer, S., Umer, W., Antwi-Afari, M., Xiao, E. 2 Jul 2024, In: International Journal of Occupational Safety and Ergonomics
  • Monitoring Mental Fatigue of Construction Equipment Operators: A Smart Cushion–Based Method with Deep Learning Algorithms, Wang, L., Li, H., Wu, H., Yao, Y., Yu, C., Umer, W., Han, D., Ma, J. 1 Sep 2024, In: Journal of Management in Engineering
  • Non-invasive detection of mental fatigue in construction equipment operators through geometric measurements of facial features, Mehmood, I., Li, H., Umer, W., Ma, J., Saad Shakeel, M., Anwer, S., Antwi-Afari, M., Tariq, S., Wu, H. 1 Jun 2024, In: Journal of Safety Research
  • Online Assessment of Spontaneous Mental Fatigue in Construction Workers Considering Data Quality: Improved Online Sequential Extreme Learning Machine, Fang, X., Li, H., Ma, J., Xing, X., Ren, Q., Umer, W., Wang, L. 1 Nov 2024, In: Journal of Construction Engineering and Management
  • Real-Time Monitoring of Mental Fatigue of Construction Workers Using Enhanced Sequential Learning and Timeliness, Fang, X., Yang, X., Xing, X., Wang, J., Umer, W., Guo, W. 1 Mar 2024, In: Automation in Construction
  • Critical success factors for implementing blockchain technology in construction, Sun, W., Antwi-Afari, M., Mehmood, I., Anwer, S., Umer, W. 1 Dec 2023, In: Automation in Construction
  • 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

Graham Evans Evaluating the Environmental Consequences of Digital Integration in Construction Projects Start Date: 01/10/2024

  • Construction Managment PhD
  • Construction Managment MSc
  • Civil Engineering BEng (Hons)
  • Fellow of Higher Education Academy FHEA


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