Ammar Abdullah Shareef Jalamneh

Ammar Abdullah Shareef Jalamneh

Director of Library and Information Services Directorate and Academic Staff in Department of General Studies

  • PHONE EXT: 16036020

Personal Profile

Current Position:

 Director of Library and Information Services Directorate and Academic Staff in Department of General Studies

College / Department:

 College of Arts and Science / Department of General Studies

Academic Status:

 Assistant Professor

Area of Specialization:

 Library & Information

Nationality:

 Jordanian

Education

Academic Qualification Educational Institution Graduate Year
PHD Library & Information ScienceNeelain University2015
Master Library SciencesUniversity of Juba2002
Bachelor Arabic LanguageYemenia University1997

Academic Experience

Position Institution Period
Director, Directorate of Library and Information ServicesApplied Science University / Bahrain2018- Present
Academic Staff, Department of General StudiesApplied Science University / Bahrain2013- Present
Acting Head of Department, Department of General StudiesApplied Science University / Bahrain2018 - 2019
Director, Directorate of LibraryApplied Science University / Bahrain2010 - 2018
Library directorJadara University2006 - 2010
Library assistantJerash University2004 - 2006
Head division of technical services, LibraryJerash University1993 - 2004

Membership of Professional Bodies

Institution Period
Fellow of the Higher Education Academy, UK2019- Present
Member in debates Bahraini universities2012- Present
Member in Union Arab Cataloging2008- Present
Jordan Library Association2000- Present
Information for researches and studies, Arabic Club for information, Jordan1998- Present
Treasurer of cooperation at the University of Jerash1997 - 2000

Publications

  1. The Role of Virtual Libraries in the Contemporary World an Analytical Study, 2024.
  2. Predicting Software Reusability Using Classification Techniques, 2024.
  3. Sustainable Environment in Islam, Its Manifestations and Causes, 2024.
  4. Predicting Software Reusability Using Classification Techniques, 2024.
  5. Detailed – based dictionary learning for low – light image enhancement using camera response model for industrial applications, 2024.