ORCID: https://orcid.org/0000-0001-6867-9820
Research Gate: https://www.researchgate.net/profile/Taimur-Rahman-6
Taimur Rahman is an Assistant Professor in the Department of Civil Engineering at the World University of Bangladesh. Since joining the department in 2012, he has become a key figure in both academia and research, specializing in the intersection of structural engineering and artificial intelligence. With a Master’s in Structural Engineering from Zhengzhou University and a Bachelor’s from Ahsanullah University of Science and Technology, Rahman is passionate about using machine learning and deep learning to solve complex structural challenges.
His research spans the development of predictive models, thermal analysis of long-span bridges, and advanced computational methods for improving the resilience and performance of RC structures. Rahman has been instrumental in developing data-driven techniques for structural health monitoring and seismic performance evaluation, contributing significantly to both academic literature and practical applications in the field.
He actively mentors the next generation of engineers and serves on the Departmental Quality Assurance Cell (DQAC), ensuring high academic standards. Rahman has also earned recognition for his published work in leading journals and his commitment to innovation in structural design and safety.
Rahman, T., 2024. Unsupervised Machine Learning-Driven Assessment of Infill Wall Systems for Structural Performance in Soft Stories. Journal of Structural Technology, pp. 8-26.
Rahman, T., Sultana, S., Ahmed, T., Momin, M. F., & Provasha, A. A., 2024. Deep symbolic regression for numerical formulation of fundamental period in concentrically steel-braced RC frames. Asian Journal of Civil Engineering, 25, pp. 4725–4744.
Rahman, T., Zheng, P. and Sultana, S., 2024. Bayesian Optimized LightGBM model for predicting the fundamental vibrational period of masonry infilled RC frames. Frontiers of Structural and Civil Engineering, 18(7), pp. 1084-1102.
Rahman, T., Hasan, M.H., Momin, M.F. and Zheng, P., 2024. Data-driven approach to predict the fundamental period of steel-braced RC frames using stacked generalization machine learning models. Asian Journal of Civil Engineering, 25(3), pp. 2379–2397.
Rahman, T. and Hasan, M.H., 2023. Fundamental Period of Steel Braced RC Structures. Mendeley Data, V1, doi: 10.17632/dm227xmgx2.1.
Rekha, S.A. and Rahman, T., 2023. Dynamic Behavior Analysis of LNG Tank Under Different Earthquake Loads. Journal of Geotechnical Studies (e-ISSN: 2581-9763), pp. 1-14.
Hossain, M.O., Rahman, T., Podder, S.K., Hasan, M.H. and Momin, M.F., 2022. Evaluation of RC Building Under Seismic Load Based on BNBC 2006 and BNBC 2020 Using Equivalent Static Force (ESF) Method. Journal of Civil and Construction Engineering (e-ISSN: 2457-001X), pp. 6-16.
Rahman, T. and Zheng, P., 2020. Numerical Assessment of Temperature Distribution in the Orthotropic Steel Deck and Main Truss of a Rail-cum-road Bridge. American Journal of Engineering Research, 9, pp. 82–93.
Ahmed, T. and Rahman, T., 2015. Non-Auditory Health Hazard Vulnerability to Noise Pollution: Assessing Public Awareness Gap. American Journal of Engineering Research, 4(4), pp. 143-147.
| SL | Collaboration & Membership Name | Type | Membership Year | Membership Expire Year |
|---|---|---|---|---|
| 1 | Institution of Engineers, Bangladesh (IEB) | Member | 2012 |
| SL | Award Title | Award Type | Year | Country |
|---|---|---|---|---|
| 1 | Presidential Scholarship | Doctoral Scholarship | 2024 | China |
| 2 | WUB Internal Research Grant | Research Grant | 2022 | Bangladesh |
| 3 | Dean’s List of Honor | Honor list | 2012 | Bangladesh |
| 4 | CSC Scholarship | Government Scholarship | 2017 | China |
