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Mr. Malek Maged Hussein Al-N'Awashi
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I have strong background in Computer Science programmes with teaching and research experience in areas such as Artificail intellegince ,data mining, data analytics, big data analysis, data visualisation ,cloud-based data processing , and machine learning. I can consider myself as highly motivated, independent and passionate about both teaching and research, capable of delivering the high standards of teaching, supervision and assessment students, and able to contribute to the high-quality research group to develop further links with industry and key national stakeholders.
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TEACHER
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AL-HUSON UNIVERSITY COLLEGE
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https://www.bau.edu.jo/@nawashi
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Major: علم الحاسوب
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Minor: Artificial intelligence and Big Data Analytics.
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nawashi@bau.edu.jo
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027023211
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عربي
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OverView
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Qualifications:
? Doctor of Philosophy (PhD) in the field of Data Science /Artificial intelligence and Big Data Analytics. School of Science, Engineering & Environment at University of Salford, UK (2015-2019).
The PhD thesis in artificial intelligence and big data analysis for generate a GEOMETRICAL-BASED APPROACH FOR ROBUST HUMAN DETECTION
? Master of Science (MSc) in the field of Innovative Technology and information security.
School of computer science and Innovative Technology at University of East London, UK (2006-2008)
Sep 2008
To
Up to Dates
AL-Balqa Applied University
Irbid ? Jordan
Full Time lecturer in Information technology department
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Research Intersets:
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My primary field of research interest is Artificial Intelligence (AI). Within AI, I am interested in problems related to probabilistic modeling, machine learning and data mining, and their interdisciplinary applications to Computer Vision , Deep Learning and biomedical sciences. I have found the applications in Computer Vision and Deep Learning to be exciting not only because of their practical value, but also as an inspiration for new types of problems that prompt the development of new theories and algorithms that have not been investigated before. As a result, my research work blends both theoretical and practical aspects of problems.
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