My Theses

Monjurul Hasan, "Analytical Approaches for Predicting Variance in Construction Productivity using Regression Methods", PhD Thesis, Department of Civil and Environmental Engineering, University of Alberta, Canada. 2023 [link here, presentation slides]

Related Publications

1. Monjurul Hasan and Ming Lu (2023) "Enhanced Model Tree for Quantifying Output Variances Due to Random Data Sampling: Productivity Prediction Applications." Automation in Construction. Vol 158. 105218 (1 -19)

2. Monjurul Hasan and Ming Lu (2023) “Estimating Output Variance of a Regressing Tree Model: A Case Study on Concrete Strength Prediction Model.” ASCE International Conference on Computing in Civil Engineering 2023, Corvallis, Oregon, USA, June 25-28, 2023. (1-8)

3. Monjurul Hasan and Ming Lu (2022) “Variance Analysis on Regression Models for Estimating Labor Costs of Prefabricated Components.” Journal of Computing in Civil Engineering, Vol. 36, No. 5, 04022019 (1 -13)  

4. Monjurul Hasan and Ming Lu (2021) “Error Propagation Model for Analyzing Project Labor Cost Budget Risks Due to Variations Inherent in Labor Productivity in Industrial Construction.” Journal of Construction Engineering and Management, Vol. 147, No. 4, 04021007 (1 -11).

Monjurul Hasan, "Analytical Framework for Field Positioning and Work Planning for a Backhoe Excavator", MSc Thesis, Department of Civil and Environmental Engineering, University of Alberta, Canada. February 2018. [link here, presentation slides]

Related Publications

1. Monjurul Hasan and Ming Lu (2018) "Planning Work for a Self-Tracking Excavator Capable of Automatic Field Survey", 17th International Conference on Computing in Civil and Building Engineering (ICCCBE), 2018/5. 

2. Monjurul Hasan and Ming Lu (2017) "Error Quantification and Visualization in Using Sensors to Position Backhoe Excavator", ASCE book "Computing in Civil Engineering in 2017: Smart Safety, Sustainability, and Resilience.", Lin, KY, El-Gohery, N, and Tang, P. (Eds) pp 150-157.

Monjurul Hasan, “Concrete mix design using artificial neural network”, B.Sc. in Civil Engineering thesis, Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, March 2012. [link here, presentation slides]

Related Publications

1. Ahsanul Kabir, Monjurul Hasan and Md Khasro Miah, (2013) "Strength Prediction Model for Concrete", International Journal on Civil and Environmental Engineering, Vol. 2, No. 1, August 2013, pp. 14-19.

2. Monjurul Hasan and Ahsanul Kabir, (2013) "Early Age Tests to Predict 28 Days Compressive Strength of Concrete", Caspian Journal of Applied Sciences Research, Vol. 2 (Proceedings of AICCE'12 & GIZ' 12); March 2013, pp. 234-242.

3. Monjurul Hasan and Ahsanul Kabir (2013) “Artificial Neural Network for Concrete Mix Design”, Proceedings of UKIERI Concrete Congress, Jalandhar, Punjab, India, March 5 - 8, 2013, pp. 1754-1764.

4. Monjurul Hasan and Ahsanul Kabir, (2011) “Prediction of Compressive Strength of Concrete from Early Age Test Result”, Proceedings of 4th Annual Paper Meet and 1st Civil Engineering Congress, Dhaka, Bangladesh, December 22-24, 2011, pp. 01-07. 

Related Android Application: Concrete Strength Checker

Concrete Strength Checker is an android application developed under Monjurul Hasan's personal project named Civil Eye. This app can be used to check the concrete strength at a later age after testing the concrete specimen at an early age. Early age concrete test result is mandatory in this case.