Researcher Image
زينب رائد احمد محمدجواد - Zainab Al-Rubaye
PhD - lecturer
College of Science , Department of Computer
[email protected]
Summary

I'm a lecturer at the University of Baghdad/College of Science/ Computer Science Dept. I got my Bachelor's and Master's degrees in 2003 and 2005 from the same Dept. In 2010, I got an IT Administration Training at ZIIK/TU Berlin. In 2012, I was a candidate for the “Fulbright Visiting Scholar Program for Iraq” at Kent State University, Ohio, USA. In 2020 I received my PhD degree from Computing Department at the University of Northampton, UK.

Qualifications

PhD in Computer Science/ Wireless Sensor Networks

Responsibility

Lecturer at Computer Science Dept./ College of Science

Awards and Memberships

1st winner in Poster Competition at the University of Northampton in 2016 1st winner by public votes in the Image of Research competition at the University of Northampton in 2017

Research Interests

Wireless Sensor Networks, IoT, Sensor Data Mining

Academic Area

Computer Science

Teaching

Computer Organization and Techniques, Programming Fundamental in C++ Programming, English Language

Supervision

Many Graduation Projects

Publication Date
Mon Jan 01 2018
Journal Name
Lecture Notes Of The Institute For Computer Sciences, Social Informatics And Telecommunications Engineering
Sensor Data Classification for the Indication of Lameness in Sheep
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Scopus (6)
Crossref (1)
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Publication Date
Fri May 16 2014
Journal Name
International Journal Of Computer Applications
Lossless Image Compression based on Predictive Coding and Bit Plane Slicing
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Crossref (4)
Crossref
Publication Date
Thu Jul 01 2021
Journal Name
University Of Northampton Pue
Validating a Proposed Data Mining Approach (SLDM) for Motion Wearable Sensors to Detect the Early Signs of Lameness in Sheep
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Publication Date
Tue Jan 01 2013
Journal Name
International Journal Of Advanced Research In Computer Science And Software Engineering
Boundary & Geometric Region Features Image Segmentation for Quadtree Partitioning Scheme
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In this paper, an efficient image segmentation scheme is proposed of boundary based & geometric region features as an alternative way of utilizing statistical base only. The test results vary according to partitioning control parameters values and image details or characteristics, with preserving the segmented image edges.

Publication Date
Fri Jan 01 2010
Journal Name
Iraqi Journal Of Science
RETRIEVING DOCUMENT WITH COMPACT GENETIC ALGORITHM(CGA)
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