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Dr.  Md. Mahfuzur Rahman

Assistant Professor & Coordinator
PhD in Hydrology (University of Chinese Academy of Sciences, China)
MSc in Hydrology (Hohai University, China)
BSc in Civil Engineering (IUBAT)

Room # 320   Ext # 372
E-mail: mfz.rahman@iubat.edu

Dr. Md. Mahfuzur Rahman is an Assistant Professor and Coordinator in the Department of Civil Engineering, International University of Business Agriculture and Technology (IUBAT), Dhaka 1230, Bangladesh. He received his Bachelor of Science in Civil Engineering (3rd position) from IUBAT in 2014 and then started his academic career in his alma mater in the same year. Prior to joining IUBAT as a Lecturer in 2014, Mr. Rahman worked as a Research Assistant (RA) in the Civil Engineering Department at IUBAT. He obtained his Master of Science in Water Resources and Hydropower Engineering (Hydrology with 85% marks) from Hohai University in 2018 and a Ph.D. in Physical Geography (Hydrology with CGPA 4.00 out of 4.00 scale) from the University of Chinese Academy of Sciences (Ranked one globally based on the Nature Index) in 2021. During his Ph.D. tenure, Dr. Rahman was awarded the outstanding research student award in 2020 from his lab for outstanding publications in top-notch international journals.

Dr. Rahman has published over 30 peer-reviewed papers in prestigious international journals (SCI, EI, and Scopus) and conference proceedings (Scopus) with a cumulative impact factor of 106.291. The significance of his work is evident in his recent publications in three leading peer-reviewed international journals: Journal of Cleaner Production (Impact Factor: 9.297), Journal of Environmental Management (Impact Factor: 6.789), and Geoscience Frontiers (Impact Factor: 6.853). His work is highly recognized in the academic area. In addition, he acts as a reviewer for numerous international journals, i.e., Journal of Hydrology, CATENA, Journal of Environmental Management, Journal of Mountain Science, Stochastic Environmental Research and Risk Assessment, Natural Hazards, Geo-spatial Information Science, Scientific African, Acta Geodynamica et Geomaterialia, Water Resource Management, Sustainability (MDPI), Geoscience (MDPI), Petroleum Science and Technology, Geocarto International, etc. His research interests include advanced remote sensing techniques, hydraulic modeling, machine learning, and deep learning algorithms in natural hazards and statistical modeling. Dr. Rahman is an affiliated member of the American Society of Civil Engineers (ASCE) and the American Concrete Institute (ACI).

PhD in Hydrology (University of Chinese Academy of Sciences, China),
MSc in Hydrology (Hohai University, China),
BSc in Civil Engineering (IUBAT).

  • ART 203 Career Planning and Development II
  • CEN 231 Engineering Mechanics
  • CEN 327 Engineering Hydrology
  • CEN 401 Irrigation and Flood Control Engineering

List of Publications of Dr. Md. Mahfuzur Rahman

-- 2022 --

  1. Probabilistic seismic hazard analysis of Hazara Kashmir syntaxes and its surrounding. Journal of Geological Society of India. (SCI, Q1, IF: 1.459). (Accepted)
  2. A state-of-the-art review on the advancement of sustainable vegetation concrete in slope stability. Construction and Building Materials (2022): 326. (SCI, Q1, IF: 6.141).
    https://www.sciencedirect.com/science/article/abs/pii/S0950061822001945
  3. Landslide Susceptibility Mapping with Deep Learning Algorithms. Sustainability (2022): 14(3). (SCI, Q1, IF: 3.251). https://www.mdpi.com/2071-1050/14/3/1734
  4. Extreme climate and tectonic controls on the generation of a large-scale, low-frequency debris flow. Catena (2022): 212. (SCI, Q1, IF: 5.198).
    https://www.sciencedirect.com/science/article/pii/S0341816222000728
  5. New insights into the occurrence of a catastrophic slope debris flow in the dry valley of Hengduan Mountains, Southwest China. Landslides (2021): XXX. (SCI, Q2, IF: 6.578).
    https://link.springer.com/article/10.1007/s10346-021-01824-0
  6. How do multiple kernel functions in machine learning algorithms improve precision in flood probability mapping? Natural Hazards. (SCI, Q1, IF: 3.102). https://link.springer.com/article/10.1007/s11069-022-05357-0
  7. Determining trigger factors of soil mass failure in a hollow: A study based in the Sichuan Province, China. Catena. (SCI, Q1, IF: 5.198).
    https://www.sciencedirect.com/science/article/abs/pii/S034181622200354X
  8. Multi-hazard susceptibility mapping based on convolutional neural networks. Geoscience Frontiers. (SCI, Q1, IF: 6.853).
    https://www.sciencedirect.com/science/article/pii/S1674987122000780
  9. Sustainable flood risk assessment using deep learning-based algorithms with blockchain technology. Geocarto  International. (SCI, Q2, IF: 3.450).

-- 2021 --

  1. Development of flood hazard map and emergency relief operation system using hydrodynamic modeling and machine learning algorithm. Journal of Cleaner Production. (SCI, Q1, IF: 9.297).
    https://www.sciencedirect.com/science/article/abs/pii/S0959652621018126
  2. Flooding and its relationship with land cover change, population growth, and road density. Geoscience Frontiers. (SCI, Q1, IF: 6.853).
    https://www.sciencedirect.com/science/article/pii/S1674987121000888
  3. Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh. Journal of Environmental Management.(SCI, Q1, IF: 6.789).
    https://www.sciencedirect.com/science/article/pii/S0301479721011488
  4. Geohazards susceptibility assessment along the Upper Indus Basin using four machine learning and statistical models. ISPRS Journal of Geo-information. (SCI, Q3, IF: 2.899).
    https://www.mdpi.com/2220-9964/10/5/315
  5. Failure mechanism of the Yaoba loess landslide on March 5, 2020, the early-spring dry spell in Southwest China. Landslides. (SCI, Q2, IF: 6.578).
    https://link.springer.com/article/10.1007/s10346-021-01703-8
  6. Influence of drainage and root biomass on soil mechanical behavior in triaxial tests. Acta Geotechnica. (SCI, Q1, IF: 5.856).
    https://link.springer.com/article/10.1007/s11440-021-01380-w
  7. Effect of root orientation on the strength characteristics of loess in drained and undrained triaxial tests. Engineering Geology. (SCI, Q1, IF: 6.755).
    https://www.sciencedirect.com/science/article/pii/S0013795221004701
  8. Determination of Pollutant of River Turag Coming from Surrounding Industries. IUBAT Review 4 (1): 1-9.
  9. Flood assessment and early warning of the reoccurrence of river blockage at the Baige landslide. Journal of Geographical Sciences. (SCI, Q1, IF: 3.543).
    https://link.springer.com/article/10.1007/s11442-021-1918-9

-- 2020 --

  1. Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: a case study of northeast Bangladesh. Geoscience Frontiers (2021). (SCI, Q1, IF: 6.853).
    https://www.sciencedirect.com/science/article/pii/S1674987120302279
  2. New insights into the occurrence of the Baige landslide along the Jinsha River in Tibet. Landslides (2020): 1-10. (SCI, Q2, IF: 6.578).
    https://link.springer.com/article/10.1007/s10346-020-01351-4
  3. Effects of loose deposits on debris flow processes in the Aizi Valley, southwest China. Journal of Mountain Science 17(1) (2020): 156-172. (SCI, Q3, IF: 2.071).
    https://link.springer.com/article/10.1007%2Fs11629-019-5388-9
  4. Scaling the Roots Mechanical Reinforcement in Plantation of Cunninghamia R. Br in Southwest China. Forests 2021(12): 33. (SCI, Q3, IF: 2.633).
    https://www.mdpi.com/1999-4907/12/1/33
  5. Evaluation of Residential Water Conservation Practice of Dhaka Bangladesh. IUBAT Review.

-- 2019 --

  1. Flood susceptibility assessment in Bangladesh using machine learning and multi-criteria decision analysis. Earth Systems and Environment 3(3) (2019): 585-601. (EI and ESCI).
    https://link.springer.com/article/10.1007/s41748-019-00123-y
  2. GLOF Risk Assessment Model in the Himalayas: A Case Study of a Hydropower Project in the Upper Arun River. Water 11(9) (2019): 1839. (SCI, Q3, IF: 3.103).
    https://www.mdpi.com/2073-4441/11/9/1839/htm
  3. Development of multi-hazards map for Bangladesh using GIS technique. IUBAT Review.
  4. Vulnerability Analysis for Sustainable Development against Flood Hazard and Relief Distribution: A Case Study of 2017 Flood of Bangladesh. IUBAT Review.

-- Under Review: 2022 --

  1. Drivers of the multi-wing butterfly effect on landslides. PNAS. (SCI, Q1, IF: 9.580).
  2. Extreme climate and earthquakes jointly drive glacial lake outburst disasters in Himalayas. Cryosphere. (SCI, Q1, IF: 5.771)
  3. Earth fissure hazard mapping using machine learning in the Qa’ Jahran Basin, Yemen. Catena. (SCI, Q1, IF: 5.198).
  4. Effect of tectonic setting and hydraulic properties on silent large-scale landslides: A case study of the Zhaobishan landslide in Anning River, China. Catena. (SCI, Q1, IF: 5.198).

Conferences:

  1. Flood hazard assessment of Bangladesh: A Case Study of 2017 Flood. The Second International Symposium on Hydraulic Modeling and Measuring Technology 2018, Nanjing, China.
  2. Development of multi-hazard vulnerability map of Bangladesh using geographic information system. The Second International Symposium on Hydraulic Modeling and Measuring Technology 2018, Nanjing, China.
  3. Vulnerability Analysis for Sustainable Development against Flood Hazard and Relief Distribution: A Case Study of 2017 Flood of Bangladesh. 13thInternational Knowledge Globalization Conference 2018, Dhaka, Bangladesh.
  4. Scopes and Challenges of Hydro-Climatic Condition in Bangladesh: A Review Considering Natural Variability and Future Changes.13thInternational Knowledge Globalization Conference 2018, Dhaka, Bangladesh.

 

Professional Training:

1. International Training Course on Silk Road Disaster Reduction (2019), Organized by IMHE, CAS.

2. Training on Teaching-Learning, Curriculum and Quality Assurance, Bangladesh (2016), organized by​ ​Graduate Training Institute (GTI), Bangladesh Agricultural University (BAU).

Honors/Awards:

  • IMHE PhD Fellowship, 2018
  • Hohai Masters Fellowship, 2016
  • IUBAT Undergrad Merit Scholarship, 2011
BAETE (IEB) ACCREDITED PROGRAM !