Hasan Al Shalabi
E-Government and Public Services Social Media and Politics Technology Adoption and User Behaviour Organizational and Employee Performance Impact of Technology on Adolescents Advanced Clustering Algorithms Research Advanced Data Compression Techniques Communication Political Science and International Relations Information Systems and Management Artificial Intelligence Sociology and Political Science Computer Vision and Pattern Recognition

Experience

Al-Hussein Bin Talal University

2012 - 2020

American Academy of Cosmetic Surgery

2013 - 0

Hindustan Institute of Technology and Science

2013 - 0

Editors Role

Reviewer

GJCST

2013 - Present

Research

Automatic Cover Letter Generator System from CVs

Article April 5, 2013

The proposed system comes to overcome the problem of writing a C.V. Cover letter which requires some linguistic skills and a lot of experience in this domain in addition to its cost in term of time and money. The ACLGS solved the problem by developing an auto generated cover letter based on the user C.V. regardless its format. The ACLGS takes the user C.V. and the carrier announcement that contains the job requirements and the skills needed as input. The system solved the problem by building a template as a frame of slots each slot contains a required skill for the job; the system extracted the required information from the user CV and fills the slots in an automatic fashion. The ACLGS applies the Information retrieval methodologies to extract information with intelligence trends to mine the user C.V. in terms of part of speech tags and some of indicator words that the system used to recognize the proper data and required information. In addition, the system specifies a set of features for each slot in the form. The user C.V. clustered into a number of categories (e.g. Personal information, Qualifications, Experience, Skill, Rewords, and Publications). These categories are used as additional features for the extracted information and data. The system took into account the problem of sentence coherence and improves the output document through using pre-specified sentences that inserted into the output document based on the extracted information discovered from the user C.V.

The Intensity of Social Networks Group Use among the Students of Jordanian Universities

Article March 9, 2013

The paper investigates the intensity of (Social Networking Sites) SNSs use among the students of Jordanian universities. Four universities were involved in this study, while 727 undergraduate students respond to a questionnaire that measured their intensity of SNSs use. To answer research questions, the researchers used descriptive statistics, ANCOVA, Chi-Square, and T-test. The data analyses revealed significant differences among students' uses of SNSs. The variables consisted of university, faculty, gender, and year level. The study recommendation was the focus on integrating SNSs within learning management systems.