Md Gapar Md Johar

Work place: Management & Science University (MSU), Shah Alam, Malaysia



Research Interests: Computational Engineering, Software Engineering, Image Compression, Image Manipulation, Image Processing, Algorithm Design


Prof. Dato’ Dr. Md Gapar Md Johar, He is Senior Vice President Research, Innovation, Technology and System of Management and Science University, Malaysia. He is a professor in Software Engineering.
He holds PhD in Computer Science, MSc in Data Engineering and BSc (Hons) in Computer Science. He is a Certified E-Commerce Consultant.
He has more 35 years of working experience and worked in various organizations such as Ministry of Finance, Ministry of Public Enterprise, Public Service Department, Glaxo Malaysia Sdn Bhd and Management & Science University.
His research interests include learning content management system, knowledge management system, data mining, e-commerce, image processing, data science, character recognition and healthcare management system.

Author Articles
Preliminary Study on Multi-Factors Affecting Adoption of E-Learning Systems in Universities: A Case of Open University of Tanzania (OUT)

By Deogratius M Lashayo Md Gapar Md Johar

DOI:, Pub. Date: 8 Mar. 2018

Literature show that there are limited factors for existing models in e-learning systems’ adoption. This has raised an increasing sensible debate about factors affecting successful adoption of e-leaning systems in universities in developing world particularly in Tanzania. This preliminary study aimed at exploring multiple factors for successful adoption of e-learning systems in universities in learner perspective, using DeLone and McLean (2003) IS success model as a base model. This study was conducted by collecting data randomly, using the questionnaire from students of Open Universities of Tanzania (OUT) with response rate of 0.83 in a cross-sectional study and later analyzed through content validity, reliability, and criterion-based predictive validity. The preliminary analysis shows that there are twelve distinctive factors affecting e-learning systems’ adoption in universities in Tanzania. This finding suggests more empirical research studies to follow it up, to cement and generalize this case and validate the proposed model in large scale. The novelty of this research lies on the number and uniqueness of factors found.

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Computer Forensics and Image Deblurring: An Inclusive Investigation

By Zohair Al-Ameen Ghazali Bin Sulong Md Gapar Md Johar

DOI:, Pub. Date: 8 Nov. 2013

Observed images with bare eyes are always different than the acquired ones using an imaging system since the captured images are considered as the degraded versions of the original scene. These degradations may vary between image noise, lighting defects and blur. Therefore, this article addresses the field of computer forensics with image deblurring as the latent details that are indeed present in the captured images are concealed due to the blurring artifact. Moreover, the constant types of blur that are being dealt with in forensics are the motion and the out-of-focus blur. The motion blur occurs due to the motion of the recorded objects or the camera during the capturing process. The out-of-focus blur occurs due to lens defocusing errors. Different examples are provided to focus on the importance of deblurring forensic images. In addition, concise commentaries on deblurring methods, applications and blur types are deliberated for additional knowledge.

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