Abdullah Al Mehedi, PhD
About
ML/DL
Projects
Publications
Research Blog
Contact
More
2025
Evaluation of LSTM vs. conceptual models for hourly rainfall runoff simulations with varied training period lengths
2024
Spatiotemporal variability of channel roughness and its substantial impacts on flood modeling errors. AGU Earth's Future
2023
Predicting the performance of green stormwater infrastructure using multivariate Long Short-Term Memory (LSTM) neural network. Journal of Hydrology
2022
Unraveling the complexities of urban fluvial flood hydraulics through AI. Scientific Reports, 12(1), 18738.
Exploring Temporal Dynamics of River Discharge using Univariate Long Short-Term Memory (LSTM) Recurrent Neural Network at East Branch of Delaware River. Hydrology, 9(11), 202.
Development of Machine Learning Flood Model Using Artificial Neural Network (ANN) at Var River. Liquids, 2(3), 147-160.
Quantifying Small-Scale Hyporheic Streamlines and Resident Time under Gravel-Sand Streambed Using a Coupled HEC-RAS and MIN3P Model. Eng, 3(2).
Automated Particle Tracing & Sensitivity Analysis for Residence Time in a Saturated Subsurface Media. Liquids, 2(3), 72-84.
Estimating Flooding at River Spree Floodplain Using HEC-RAS Simulation. J, 5(4), 410-426.
2020
Sensitivity Analysis of Hyporheic Exchange to Small Scale Changes in Gravel-Sand Flumebed Using a Coupled Groundwater-Surface Water Model. In EGU General Assembly Conference Abstracts (p. 20319).