Omar Abdel Karim Menawer Al Zoubi

Omar Abdel Karim Menawer Al Zoubi

Dean of Arts and Science College and Acting Head of Department of Computer Science and Academic Staff in Department of Computer Science

  • PHONE EXT: 16036256

Personal Profile

Current Position:

 Dean of Arts and Science College and Acting Head of Department of Computer Science and Academic Staff in Department of Computer Science

College / Department:

 College of Arts and Science / Department of Computer Science

Academic Status:

 Associate Professor

Area of Specialization:

 Computer Science

Nationality:

 Jordanian

Education

Academic Qualification Educational Institution Graduate Year
PHD Computer ScienceThe University of Sydney2012
Master Information TechnologyThe University of Sydney2008
Bachelor Computer ScienceYarmouk University1997

Academic Experience

Position Institution Period
Dean, College of Arts and ScienceApplied Science University / Bahrain2024- Present
Acting Head of Department, Department of Computer ScienceApplied Science University / Bahrain2024- Present
Academic Staff, Department of Computer ScienceApplied Science University / Bahrain2023- Present
Acting Dean, College of Arts and ScienceApplied Science University / Bahrain2023 - 2024
Senior ConsultantArrowad Group- Kaizen Saudi Arabia2022 - 2023
Associate ProfessorJordan University of Science and Technology2022 - 2023
Assistant ProfessorJordan University of Science and Technology2018 - 2022
Assistant ProfessorYarmouk University, Jordan2016 - 2018
Postdoctoral Research AssociateCarnegie Mellon University in Qatar2012 - 2015
TutorSchool of Electrical and Information Engineering, The University of Sydney2010 - 2012
Research AssistantSchool of Electrical and Information Engineering, The University of Sydney2008 - 2008

Membership of Professional Bodies

Institution Period

Publications

  1. The effects of document’s format, size, and storage media on memory forensics, 2024.
  2. DRDM: Deep Learning Model for Diabetic Retinopathy Detection, 2024.
  3. Varicocele detection in ultrasound images using deep learning, 2024.