Mohammad Ali H. Eljinini

Work place: Computer Information Systems Department, Isra University, Amman-Jordan



Research Interests: Information Systems, Multimedia Information System, Information Theory


Dr. Mohammad Ali H. Eljinini is senior lecturer in Computer Information Systems at the Faculty of Information Technology, at Isra University. His current interests include E-Learning, E-Health, Knowledge Extraction, Ontology, and the Semantic Web. Dr. Eljinini received his PhD degree in Health Informatics from the Centre for Health Informatics (CHI) in the School of Informatics at City University, London, UK. He is a member of ACM and JSC (Jordan Computer Society).

Author Articles
Collision-free Random Paths between Two Points

By Mohammad Ali H. Eljinini Ahmad Tayyar

DOI:, Pub. Date: 8 Jun. 2020

This paper proposes a collision-free path planning algorithm based on the generation of random paths between two points. The proposed work applies to many fields such as education, economics, computer science and AI, military, and other fields of applied sciences. Our work has spanned several phases, where in the first phase a novel computer algorithm to generate random paths between two points in space has been developed. The aim was to be able to generate paths between two points in real-time that cannot be predicted in advance. In the second phase, we have developed an ontology that describes the domain of discourse. The aim was two folds; firstly, to provide an optimized generation of best points that are closer to the target point. Secondly, to provide sharable, reusable ontological objects that can be deployed to other projects. We reinforced our solution by the initiation of several case studies that have been designed using and extending our work. One problem that we have faced in some cases is the existence of some obstacles between the starting and the ending point. For example, in our work towards the automation of a navigation system for drones, we faced some obstacles like trees, no flying zones, and buildings. This problem is also applicable to mobile robots and other unmanned vehicles, where fee-collision mobility is necessary. In this phase, we have reworked the algorithm to generate random paths between two points P0(x0, y0), Pn(xn, yn) with obstacles. Our generated random paths are placed within circles that are centered in Pn: c1, c2, …, cn-1, which passes thru the points P1, P2, …, Pn-1 respectively. Point Pi may approach Pn if it takes any position within circle c centered in Pn with radius PiPn and satisfies some constraints, discussed in detail in the paper, which insure that the selected paths do not fall within obstacles and reach the target point. we also classified the generated paths based on given properties such as the longest path, shortest path, and paths with some given costs. The resulted algorithms were very encouraging and leading to the applicability of real-life cases.

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The Impact of E-assessments System on the Success of the Implementation Process

By Mohammad Ali H. Eljinini Salwa Alsamarai

DOI:, Pub. Date: 8 Nov. 2012

This study aims to identify the attitudes of the sample individuals from students that have used the electronic assessments (e-assessments) system at Isra University in Jordan. These attitudes describe the relationship between the availability of the requirements for e-assessments applications and the success of its implementation. Analytical descriptive method and sample research have been used. The samples included 246 students from 5 colleges covered by the research sample. The instrument of the study was a questionnaire which consisted of many variables that measured influential relationship among them. The research concluded that there is a relationship effect between the availability of the requirements and the success of the implementation process of the e-assessments system. There is a difference in the members attitudes of the research samples over the impact of which variables are most influenced. The results showed that there is a variation in the attitudes on all variables.

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