Abul Abrar Masrur Ahmed

Assistant Professor (on study leave)

Research Area: Artificial Neural Networks, Water and Wastewater Treatment, Impact Analysis of Climate Change, Sustainable Building Materials, Water Quality Modelling.

Research Description

My research interests are utilization of Artificial Neural Network models to predict water resource variables, sustainable building materials, water and waste water treatment, utilization of natural coagulants as an alternative of chemical coagulants and impact analysis of climate change.


  • PhD (ongoing)University of Southern Queensland, Australia
  • Master of ScienceDisaster and Environmental Engineering, Shahjalal University of Science and Technology (SUST).
  • Bachelor of ScienceCivil and Environmental Engineering, Shahjalal University of Science and Technology (SUST).


  • Environ. & Geotechnical aspects of Chaptir Haor sub project and its proposed rehabilitation Ahmed M, Uddin M, Ahmed AAM (2011) proc. of Intl. Conf. on Env. Tech. and Cons. Engg. For sustainable development (ICETCESD-2011), March 10-12, SUST, Pp. 973-979.
  • Evaluation of Sanitation Hygiene: a case study of slums in Sylhet Ahmed AAM, Alam MJB, Ahmed AAM (2010), proc. of Regional Conf. on Appropriate Water Supply, Sanitation, and Hygiene Solutions for Informal Settlements and Marginalized Communities (May 19-21)Nepal, pp. 1-11.
  • Surface water quality assessment of the Surma River using factor analysis Alam MJB, Ahmed AAM, Ali E (2010) proceedings of Intl. Conf. on Environ. Aspects of Bangladesh (Sept. 4) pp. 186-188.
  • Deterioration of water quality of Surma River influenced by Natural Canals Passing through Sylhet City of Bangladesh Ahmed M, Ahmed AAM, Mazumder RK (2010), proceedings of Intl. Conf. on Env. Aspects of Bangladesh (Sept. 4) pp. 182-185
  • Performance Evaluation of Natural Coagulants (Cicer Arietinum and Abelmoschus Esculentus) Comparing With Alum In Coagulation Process Rahman MM, Ahmed AAM, Khan MSA, Joy SS (2016), in the Proceedings of the 3rd Intl. Conf. on Civil Engg for Sustainable Development, 12~14 Feb. 2016, KUET, Bangladesh (ISBN: 978-984-34-0265-3)
  • An Application of Water Hyacinth for Enhancing the Quality of Pond Water in Sylhet City Chowdhury TD, Ahmed AAM, Shahriar A, Biswas RC (2016) in the Proceedings of the 3rd International Conference on Civil Engineering for Sustainable Development (ICCESD 2016), 12~14 February 2016, KUET, Khulna, Bangladesh (ISBN: 978-984-34-0265-3)
  • Utilization of natural coagulants for reducing turbidity of surface water Rahman MM, Ahmed AAM, Ahmed M, Tapadar HA, Rahman MS (2015) proceedings of International Conference on Recent Innovation in Civil Engineering for Sustainable Development, DUET, Page 918-923
  • Application of artificial neural networks to predict peak flow of Surma River in Sylhet zone of Bangladesh Ahmed AAM, Shah SMA (2017) Int. J. of Water, 11(4), doi: DOI: 10.1504/IJW.2017.088046
  • Application of adaptive neuro ‐fuzzy inference system (ANFIS) to predict the biochemical oxygen demand (BOD) of Surma River Journal of King Saud Uni – Engineering Sci. (ELSEVIER), doi:10.1016/j.jksues.2015.02.001
  • Prediction of dissolved oxygen in Surma River influenced by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs) Ahmed AAM (2017) Journal of King Saud Uni – Engineering Sci. (ELSEVIER), doi:

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