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Dr. Malek Maged Alnawashi
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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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ASSISTANT PROFESSOR
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AL-HUSON UNIVERSITY COLLEGE
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https://www.bau.edu.jo/@nawashi
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 Major: Computer science
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 Minor: Artificial intelligence and Big Data Analytics.
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 nawashi@bau.edu.jo
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 0775609685
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 OverView
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Teaching on my perspective is a very fruitful and enjoyable academic duty. They are several reasons why teaching is fruitful, the most compelling one is that it?s has been the most effective approach to deliver our knowledge, thus ensuring that our field grows and prospers. As a teacher of computer science and computer network, I believe successful teaching is conveying the course?s key terms, concepts, ideas, and theories in manner is understandable to most of the students. In the meantime, in case of the processing of teaching a difficult concept to students, I and my students must venture on a journey of information discovery to gain a deeper understanding of this concept. I believe that the students able to fully understand the theoretical aspect, if we tie the knowledge and skills learn in the class, to real-world issues and problems. This will strengthen their computational thinking skills, which will manage them to solve real-life problems effectively and independently.
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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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 Qualifications
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Degree
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University
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Specialization
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Graduation year
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| 1 | PHD | University of Salford | Computer science | 2019 | | 2 | MASTER DEGREE | University of East London | Computer science | 2008 | | 3 | BACHELOR'S DEGREE | Irbid National University | Computer science | 2002 |
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 Publications
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1- Analysis and Evolution of SHA-1 Algorithm - Analytical Technique ,International Journal of Computer Networks and Communications, 2024,Vol. 16,no. 3.
2- A NEW APPROACH FOR BREAST CANCER DETECTION-BASED MACHINE LEARNING TECHNIQUE ,Applied Computer Science? (ACS), 2024,Vol. 20,no. 1.
3- Swin Transformer-Based Segmentation and Multi-Scale Feature Pyramid Fusion Module for Alzheimer's Disease with Machine Learning ,International Journal of Online and Biomedical Engineering (iJOE), 2023,Vol. 19,no. 4.
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 Journals Editor/ Reviewer
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Review:
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 International journal of online and biomedical engineering.
journal, International Journal of Communication Networks and Information Security.
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