PROF. DR. AHMED HUSSEIN KAMEL AHMED ELSHAFIE
Department of Civil Engineering
Faculty of Engineering
elshafie@um.edu.myView CV | |
Publons | |
Biography | |
A. El-shafie received his B.Sc. and M.Sc. from the Department of Civil Engineering from Cairo University, Giza, Egypt in 1993 and 1998, respectively. In 2003, he received his PhD in water resources management and planning from Department of Civil Engineering, Cairo University under collaborative academic channel program with Civil Engineering Department, University of Calgary, Calgary, Alberta, Canada.
Between 2004 and 2007, he was a postdoctoral fellow at Department of Electrical and Computer Engineering at both of Royal Military College of Canada and Queen’s University, Kingston, ON, Canada. Between 2007-2015, he is a Associate Professor with the Smart Engineering System, Department of Civil & Structural Engineering, University Kebangsaan Malaysia, Malaysia. Presently he is a Professor with Department of Civil Engineering, University of Malaya. His research interest is related to artificial intelligence techniques with their applications to several engineering applications giving emphasis to hydrological process, environmental and water resources, dam and reservoir operation and multi-sensor system integration. |
Publication
Finance
Grant | Progress | Status |
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GPF082A-2018 |
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end |
RP025A-18SUS |
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This information is generated from Research Grant Management System |
Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction
Development of prediction model for phosphate in reservoir water system based machine learning algorithms
Spatiotemporal variability analysis of standardized precipitation indexed droughts using wavelet transform
Total iron removal from aqueous solution by using modified clinoptilolite
Artificial Intelligence and Hybrid Systems
Dam and Reservoir Optimization Model; Aswan High Dam Reservoir, Egypt SDP_NN Model For Optimizing Dam Operation
Deterministic and Probabilistic Analysis of Earth Slope: Employing Gravitational Search Algorithm
Earth Slope Stability Assessment: Employing Particle Swarm Optimization