Mohamed A M Elansary, PhD
Target: Assistant Professor — Civil Engineering / WERC (Hydroinformatics · Flood AI) · UT Arlington
Sourced insights
- Role thesis — modeling-based hydroinformatics and flood AI: Tenure-track Assistant Professor in water resources engineering with emphasis on modeling-based hydroinformatics, flood forecasting/early warning, urban flooding, radar/satellite precipitation, Artificial Intelligence, and resilient infrastructure systems — research-led with teaching and WERC contribution. Source: uta.peopleadmin.com/postings/33564
- WERC pillars — Flood Science, Water Resources, AI: Advanced flood warning and radar-based rainfall processing; H&H modeling, remote sensing, UAV, and machine learning for water management; state-of-the-art AI to optimize water systems and enhance predictive capabilities. Source: werc.uta.edu/about/
Proof — hydroinformatics UQ + Texas water systems
- PhD Environmental Engineering, TAMUK 2022 — multimodel monthly-to-seasonal surface-water/groundwater forecast uncertainty quantification and reduction across basins and hydroclimates (HPC: MODFLOW, VIC, PIHM, NASA LIS; USGS/NOAA/NASA data).
- AMS hydrology abstracts: multimodel streamflow forecasts (2018); spatio-temporal floods/droughts, Brazos Basin (2021).
- GeoAI/GIS (ArcGIS/QGIS, 8 years) · scientific/HPC · production Python AI for environmental systems.
- Teaching readiness: Collin College adjunct (env eng/science + data analytics); graduate mentoring — teaching required, research primary.
- Honest frame: Env Eng PhD closely related to listed fields — not an invented Civil Engineering degree, P.E., or operational FEWS platform PI claim.