Md Manzur Rahman

As a civil/water resources engineer with specialization in Hydroinformatics my field of interest redirected into developing web based GIS tools implementing advanced machine learning techniques for a broader community that will help to solve water related problems.

Apart from being a civil engineer, I enjoy travelling. I love to take outdoor photographs of skylines and beautiful landscapes. Indoor, I like to listen to musics, watch movies. I am an amature guitar and drums player.

I love programming, I have intermediate skills on computer programming which I utilize to make softwares and mobile applications.

Please find my Curriculum Vitae here

Experience

Education

Publications

• Rahman M.M., Alfonso L., Bhattacharya B., and Solomatine D. (2022) Performance of unsupervised water index-based classification techniques for surface water extraction from Landsat imagery (Manuscript Submitted)
• Rahman M.M. (2020) Spatiotemporal Analysis of Multispectral Medium Resolution Satellite Imagery of Braided Rivers using Google Earth Engine: A case study on the Brahmaputra River, MSc Thesis, IHE Delft Institute for Water Education (https://doi.org/10.25831/t3fj-p832)
• Rahman M.M. and Islam M.K. (2019) Determination of Virgin Compression Destructuring Line Parameters for Natural Clays, Journal of the SEAGS & AGSSEA Journal 50 (4), 15-20
• Rahman M.M. and Fellenius B.H. (2019) Load-movement response by t-z and q-z functions, Journal of the SEAGS & AGSSEA Journal 50 (3), 11-19
• Rahman M.M. (2018). Foundation Design using Standard Penetration Test (SPT) N-value (Book Chapters) (DOI10.13140/RG.2.2.23159.73123)
• Rahman M.M. (2012). Effect of Sand Pile on Load-Settlement Response of Clayey Soils Bachelor’s Thesis, Khulna University of Engineering and Technology, Khulna. (DOI10.13140/RG.2.2.33855.20640)

Skills

• GIS and Remote Sensing: Google Earth Engine, ArcGIS, QGIS, ENVI
• Hydraulic and Hydrological Modelling: HEC-RAS, HEC-HMS, MIKE 11, MIKE 21, MIKE SHE
• Geotechnical Modelling: Plaxis 2D, Plaxis 3D
• Structural Modelling: ETABS, STAAD Pro, STAAD Foundation, SAFE
• Language: Python, JavaScript, C, FORTRAN, HTML5, CSS3, PHP
• Database: PostgreSQL (PostGIS), MariaDB (Spatial), SQLite (SpatiaLite)
• Server Application: Microsoft and Linux based Server, GeoServer, ArcGIS Server

Field of Interests

• RS and GIS applications to solve water related problems
• Web based GIS tools for Decision Support
• Data Driven modelling and Machine learning in flood forecasting
• Planetary scale geospatial analysis using cloud computing/Google Earth Engine and geemap

Project Portfolio

Webapp: Rivre Morphology and Research Circle, BWDB

River Morphological data analysis and processing platform. Developing Tools: Flask, Dash, Plotly, Folium, PostgreSQL, Google Earth Engine Python API (Under Development)

Website: Central GIS Directorate, BWDB

Main website for Central GIS Directorate of Bangladesh Water Development Board. Front End: HTML, CSS, JS; Backend: PHP, MySQL (Under development)

Desktop Application: OMR Sheet Examiner

Image processing application using computer vision to examine bubble sheet. Developed using python. © Md Manzur Rahman

Google Earth Engine App: Brahmaputra Morphology

Google Earth Engine app developed to study the accretion/erosion and bankline shift of Brahmaputra-Jamuna River System using Landsat over past 30 years. Developed using GEE-JS API Creative Copyright: CC BY-NC 4.0