Dr. Youssef has more than 15 years of teaching and research at Sohag University, 10 years of consultation of geological hazards and geological engineering at Saudi Geological Survey. He is specialized in geological hazards/geological engineering and GIS/Remote sensing application in natural hazard and environmental problems. Dr. Youssef has B.S. and MS. in geology from South Valley University (Sohag Branch), Egypt in 1992 and 1998, respectively. He also got a second MS. in Civil Engineering (Geotechnical Engineering) and a Ph.D. Geological Engineering from University of Missouri-Rolla (Currently Missouri University of Science and Technology), USA, in 2004.
Dr. Youssef received the "Best Researcher Award" in Egypt, 2018 in the subject of Geosciences from Egyptian Knowledge Bank and Clarivate Analytics. The ceremony was held at the Ministry of Education and Technical Education on Thursday, 8/11/2018, to recognize the outstanding Egyptian researchers.
Dr. Youssef has been selected in science-wide author databases of standardized citation indicators (NO. 45070- Table-S7-singleyr-2019.xlsx)(https://data.mendeley.com/datasets/btchxktzyw/2).
Dr. Youssef has been selected in science-wide author databases of standardized citation indicators https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/3
أصدرت جامعة ستانفورد الأمريكية مؤخرًا قائمة بأسماء "أعلى 2٪ من علماء العالم" الأكثر استشهادًا في مختلف التخصصات AUGUST 2021 DATA-UPDATE FOR "UPDATED SCIENCE-WIDE AUTHOR DATABASES OF STANDARDIZED CITATION INDICATORS" HTTPS://ELSEVIER.DIGITALCOMMONSDATA.COM/DATASETS/BTCHXKTZYW/3 Table_1_Authors_singleyr_2020_wopp_extracted_202108.xlsx
أصدرت جامعة ستانفورد الأمريكية مؤخرًا قائمة بأسماء "أعلى 2٪ من علماء العالم" الأكثر استشهادًا في مختلف التخصصات Data for "Updated science-wide author databases of standardized citation indicators" https://data.mendeley.com/datasets/btchxktzyw/2 Table-S7-singleyr-2019 Ahmed Mohamed Youssef : Number 45070
Egyptian Knowledge Bank and Clarivate Analytics, the leading indexing of international journals, periodicals, and conferences and measuring the performance of scientific research, acknowledged Egypt’s outstanding efforts in research. An award ceremony was held at the Ministry of Education and Technical Education on Thursday, 8/11/2018, to recognize the outstanding Egyptian researchers. The Faculty of Science, Sohag University, received 2 of the ...
The current study aimed at evaluating the capabilities of seven advanced machine learning techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF), Multivariate Adaptive Regression Spline (MARS), Artificial Neural Network (ANN), Quadratic Discriminant Analysis (QDA), Linear Discriminant Analysis (LDA), and Naive Bayes (NB), for landslide susceptibility modeling and comparison of their performances. Coupling machine learning algorithms with spatial data ...
For public safety, especially for people who dwell in the valley that is located downstream of a dam site, as well as the protection of economic and environmental resources, risk management programs are urgently required all over the world. Despite the high safety standards of dams because of improved engineering and excellent construction in recent times, a zero-risk guarantee is ...
Recently, an increasing number of sinkholes related to cavernous karst bedrock has been documented in the Kingdom of Saudi Arabia (KSA). One of the most hazardous areas is Al Jouf region, with an average annual rainfall below 35 mm. Here, crop fields irrigated with groundwater have experienced a very rapid expansion. Limited hydrogeological data indicate that the over-exploitation of the ...
In this paper, multispectral and multi-temporal satellite data were used to assess the spatial and temporal evolution of the agriculture activities in the Al-Jouf region, Kingdom of Saudi Arabia (KSA). In the current study, an attempt was made to map the agriculture sprawl from 1987 to 2017 using temporal Landsat images in a geographic information system (GIS) environment for better ...
Recently, the Kingdom of Saudi Arabia (KSA) has been facing significant changes in rainstorm patterns (rainstorm intensities, frequencies, distributions) causing many flash flood events. The city of Jeddah is located in a coastal plain area, in the middle of the western side of the KSA, which represents a clear case of changing rainstorm patterns. Jeddah has been hit by many ...