Alaa Aly’s experience encompasses hydrologic and probabilistic modeling, performance assessment, human health risk assessment, ecological risk assessment, uncertainty analyses, hydrologic and environmental characterization, water resource management, environmental restoration, and water supply evaluation. He is an expert in the application of statistical and optimization techniques and models for engineering, environmental impacts, contaminant remediation, and water resources applications. Alaa has completed projects for local, state, and federal governmental agencies, as well as private industry, involving remedial investigations, feasibility studies, remedial design, performance monitoring, water quality modeling and evaluation of surface reservoirs, trend analyses and detection in hydrologic time series, statistical modeling of hydrologic and water quality data, the application of artificial neural networks (ANNs) for modeling short-term fluctuations of water levels in shallow and deep groundwater monitoring wells, the use of remote sensing techniques to map land cover for large watersheds, and the development and calibration of models. In addition to his technical contributions, Alaa has managed projects with annual budgets of up to $8 million.