Imran Islam
Civil Designer at Stantec
Water resources engineer working on stormwater design and water quality across the Midwest. MS from the University of Minnesota with research in urban hydrology, data-driven modeling and machine learning, and a background in university teaching.
- Stormwater management
- Hydraulic and hydrologic (H&H) modeling
- Municipal drainage designs
- GIS mapping and spatiotemporal analysis
- Machine learning application in hydrology
- Civil site design and plan productions
- Development plan and permit reviews
- Water quality monitoring
- Stormwater and erosion control inspections
Experience
Full experienceJun 2026 – Present
Civil Designer, Stantec
In this role, I support a wide range of water resources and environmental design projects that combine engineering analysis, civil design, geospatial analysis, permitting, regulatory review, and field survey work. My role allows me to contribute across multiple stages of a project, from initial watershed assessment, concept design, data collection through design, plan production, permitting, bidding, construction specs preparations, and on-site construction supervision.
Aug 2024 – May 2026
Graduate Research Assistant, STORM Group, University of Minnesota Duluth
Built a HYDRUS-2D model of how sewers and soil profiles shape urban hydrology; field sampling with the City of Duluth.
Oct 2023 – Jun 2024
Lecturer, Department of Civil Engineering, Dhaka International University
Taught surveying, fluid mechanics and structural analysis; helped earn program accreditation.
Research and projects
All projects
MS thesis, NSF funded
Sewer–groundwater interaction in urban watersheds
How sanitary sewers and the soils around them change the urban water balance, studied with integrated hydrologic modeling and field data.
Research, in preparation
Stream monitoring networks for nutrient prediction
Choosing where to place water quality sensors so a small network predicts nutrients across a whole stream system.
Publications
All publicationsIslam, I.M.A., Shuster, W., Zhang, K. (2026). A Numerical Simulation Study to Quantify and Evaluate Urban Karst Flux.
In preparation
Islam, I.M.A., Ding, Z., Kumar, A., Zhang, R., Zhang, K. (2026). Data-Driven Stream Monitoring Network Optimization for Maximal Nutrient Prediction.
In preparation
Ding, Z., Kumar, A., Islam, I.M.A., Montezuma, M.A., Zhang, R., Zhang, K. (2026). Flow Reconstruction from Sparse Measurements in Urban Drainage Networks: An Application and Evaluation of Data-Driven Sparse Sensing.
Under review, Journal of Hydrology