Shaker El-Sappagh
Shaker El-Sappagh
received their bachelor’s degree in computer science from the Information Systems Department, Faculty of Computers and Information, Cairo University, Egypt, in 1997, the master’s degree from Cairo University, in 2007, and the Ph.D. degree in computer science from the Information Systems Department, Faculty of Computers and Information, Mansura University, Mansura, Egypt, in 2015. In 2003, he joined the Department of Information Systems, Faculty of Computers and Information, Minia University, Egypt, as a Teaching Assistant. Since June 2016, he has been with the Department of Information Systems, Faculty of Computers and Information, Benha University, as an Assistant Professor. He worked as a Research Professor at the UWB Wireless Communications Research Center in the Department of Information and Communication Engineering at Inha University, South Korea for three years from 2018 to 2020. He worked as a Research Professor at the Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain for one year in 2021. Now, he has been an Associate Professor at Galala University, Egypt, since 2021. He has also been a Senior Researcher at the College of Computing and Informatics, Sungkyunkwan University, South Korea, since 2021. His publications in clinical decision support systems and semantic intelligence. His current research interests include machine learning, medical informatics, (fuzzy) ontology engineering, distributed and hybrid clinical decision support systems, semantic data modeling, fuzzy expert systems, and cloud computing. He is a reviewer of many journals. He is a reviewer in many journals, and he is very interested in the diseases’ diagnosis and treatment research.(Based on document published on 28 June 2023).
Publications
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Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, Shaker El-Sappagh.
© 2023. 320 pages.
In the dynamic and ever-changing financial landscape, the seamless integration of artificial intelligence (AI) and machine learning (ML) has presented unprecedented challenges...
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