Academic
Master of Science in Agricultural Construction and Environmental Engineering
Sylhet Agricultural University, Sylhet
Feb. 2024 | CGPA: 3.962/4
Thesis Title: Design of Sylhet City as A Sponge City to Control Flood Water
- Implemented machine learning models for land use and land cover (LULC) classification using satellite imagery over three decades (2003–2023).
- Analyzed hydrological parameters and design storm events.
- Conducted geospatial analysis to understand spatial patterns and trends.
- Simulated urban runoff and assessed potential flooding scenarios.
- Evaluated the performance of existing and projected stormwater drainage systems.
- Designed a modified stormwater drainage system to control floodwater.
Supervisor
Dr. Md. Altaf Hossain
Designation: Professor, Agricultural Construction and Environmental Engineering
Affiliation: Sylhet Agricultural University, Sylhet-3100, Bangladesh
Email: ahossain.acee@sau.ac.bd
Tools & Technologies Employed
- Python
- Pandas
- Numpy
- Matplotlib
- Seaborn
- Machine Learning
- Ensemble Learning
- Artificial Neural Network
- Google Earth Engine
- QGIS
- Grass GIS
- ArcMap
- Google Earth Pro
- EPA SWMM 5.2
- MOLUSCE
- Microsoft Excel
The above-mentioned tools can be grouped as Programming Languages and Libraries, Machine Learning and AI, Geospatial Tools, Hydrological and Simulation Tools, and General Purpose Software Application.
Coursework See Credentials
- Advanced AutoCAD
- Advanced Environmental Modeling And GIS
- Advanced Engineering Mathematics
- Design of Hydraulic and Foundation Structure
- Construction Management
- Soil Engineering
- Advanced Statistics
- Advanced Concrete Technology
- Water and Wastewater Treatment
- Packaging and Storage Structure Engineering
Bachelor of Science in Agricultural Engineering and Technology
Sylhet Agricultural University, Sylhet
Jan. 2022 | CGPA: 3.846/4
Project Title: Effect of soil texture on the performance of agricultural machinery in Sylhet
- Conducted field and laboratory-based research on the performance of agricultural machinery on various land types.
- Gathered relevant qualitative and quantitative data and samples from different agricultural fields in Sylhet, Bangladesh.
- Interpreted soil textural classes in terms of machine performance.
- Implemented a Python program for soil textural classes using the Pandas module, the getTexture library, and the spread-sheet application.
- Developed a user-friendly graphical user interface (GUI) for the classification of soil textural classes.
Supervisor
Dr. Md. Altaf Hossain
Designation: Professor, Agricultural Construction and Environmental Engineering
Affiliation: Sylhet Agricultural University, Sylhet-3100, Bangladesh
Email: ahossain.acee@sau.ac.bd
Machines, Methods, and Tools Employed
- Combine Harvester
- Hydrometer Analysis
- Python
- Pandas
- Tkinter
- Custom Tkinter
Coursework See Credentials
- Engineering Mathematics
- Differential Equations
- Vector Calculus
- Numerical Analysis
- Computer Programming (C, HTML, CSS)
- DBMS
- AutoCAD
- Engineering Mechanics
- Electrical Engineering
- Agricultural Power
- Agricultural Machinery
- Agricultural Mechanization
- Strength of Materials
- Materials and Cost Estimation
- Soil Mechanics
- Foundation Engineering
- Environmental Engineering
- Fluid Mechanics
- Irrigation and Drainage Engineering
- Groundwater Engineering
- Hydraulics
- Meteorology
- Soil Science
- Economics
- Statistics
- Food Science and Engineering