Experience working across the
full-stack of software development.
WORK EXPERIENCE in :
--Computer Science teacher (teach undergraduate student)-Database ,Oracle , SQL-Server, HTML, Bootstrap, WordPress ,ER and EER model,MySQL and Computer Graphics.
--Develop and responsible of an E-learning system( Moodle) at University of Zakho.
--Director of the Statistics unit / ICT center at the University of Zakho.
In the era of globalization, the region of Kurdistan, is participation in several
ongoing projects where IT-enable systems are intended to be implemented
in various sectors as part of the national IT policy. However, because of the
establish system complex structure and the outdated system poor design,
implementing IT enable systems locally is a significant issue. Particularly in
the section dedicated to Hajj services, where files are still manually stored
overcrowding happens ate registration offices since pilgrims cannot get any
fresh instruction or announcements at the time they must got to the office or
call them and insufficient security and safety measure for pilgrims’ data. The
purpose of developing this file filing system was to facilitate and ease the
management of current files by staff. As part of the research process, issues
with Hajj file management were identified and information was gathered via
literature research, interview and observation. Laravel (PHP), Bootstrap and
HTML5 are programming language used in system development, along
MySQL, Xampp. System Usability Scale (SUS) approach was used to test the
system, and 10 participations sign up for it. The highest overall satisfaction
rate, at roughly 80.1%
2024-06
journal of education and science
(Issue : 4)
(Volume : 33)
Assessment of the effects of the number of projections and use of selected filters on a reconstructed artificial phantom
Appropriate selection of features may lead to the specificity of classification methods
and identify the most critical features from all sparse or dense impact data using a filter
based on the recognition selection method characterized. Filtration is used to reduce
sample complexity, improve the clarity of viscous samples, and reduce background
signals, resulting in increased signal-to-noise ratios in analytical tests. Depending on the
filtration method applied, particles are separated based on properties such as size. This
study assessed the impact of filter selection and the variation in the number of projections
on the final reconstructed artificial phantom images. Utilizing image reconstruction
techniques, it delves into the application of mathematical transforms, including Radon and
Fourier, to improve image quality and resolution, particularly in medical imaging
modalities such as CT and MRI. The research predominantly focuses on the application of
the Filtered Back Projection (FBP) algorithm to reconstruct images from changing
numbers of projections. The results underscore the main role of filter choice in removing
noise, with the Ramp filter presenting the most promising results. The investigation
concludes that reducing the number of projections results in a decline in image contrast
and an increase in image noise.
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak that is causing coronavirus disease 2019 is being deemed a pandemic because of its quick spread around the globe. Because chest X-ray pictures have shown to be beneficial in monitoring a variety of lung disorders, they have recently been utilized to monitor COVID-19 disease. It takes time to manually analyze a lot of chest X-ray pictures. Several previous studies have suggested machine-learning (ML)-based techniques for COVID-19 detection from chest X-ray pictures as a solution to this issue. Though little effort has been made to use traditional machine learning (ML) methods, the majority of these investigations use deep learning (DL) based techniques. Conventional ML-based algorithms will be favored for implementation if they can yield identical outcomes as DL-based methods. In this effort, we constructed four classic ML-based models for COVID-19 identification, driven by the need to close the gap in the literature. The accuracy rates for the various classification models were as follows, according to the results: 93.4% for Support Vector Machine (SVM), 93.3% for Random Forest (RF), 90.5% for K-Nearest Neighbors (KNN), and 87.9% for Decision Tree (DT). The results of the study showed that machine learning-based algorithms can produce great results for COVID-19 identification by being refined and improved using several well-known data preparation approaches
2024-03
AL-SALAM JOURNAL FOR MEDICAL SCIENCE
(Issue : 3)
(Volume : 2)
Leukemia detection using Artificial Neural Networks in Images of Human Blood Sample
This article presents a preliminary report that uses minuscule images of blood tests to develop a diagnosis of leukemia. Examining through images is crucial since illnesses can be recognized and examined at an earlier stage using the images. The framework will be centered on leukemia and white blood cell illness. In fact, even the hematologist has trouble organizing the leukemic cells, and manually arranging the platelets takes a long time and is quite loose. In this way, early detection of leukemia recurrence allows the patient to receive the appropriate treatment. In order to address this problem, the framework will make use of the capabilities in small images and examine surface, geometry, shading, and quantifiable investigation modifications. These features' variations will be utilized as the classifier input. has transformed the use of images K proposes that (NN) and agglomeration. Examining a wide range of failure measures and increasing the intricacy of every system, the findings are examined. Utilizing feedforward (NN), image division is accomplished with less noise and a very sluggish conjunction rate. K-means agglomeration and (ANN) are intentionally used in this analysis to create a collection of processes that will work together to produce a much better presentation in (IS). An analysis has been conducted to determine the best rule for (IS).
2024-02
Ascarya journal
(Issue : 4)
(Volume : 1)
Collaborative Learning in Computer Labs for Science Education: A Systematic Review
This study analyzes the use of Computer-Supported Collaborative
Learning (CSCL) in computer laboratory settings for secondary school
science education. The literature review evaluates the impact of
collaborative methods using computer simulations, virtual experiments,
and other digital technologies. The search yielded 33 relevant studies,
indicating that collaborative conditions outperformed individual
laboratory work in computer environments across various measures.
Collaborative work in pairs or small teams has been shown to lead to
better learning outcomes and expert-like reasoning patterns.
Additionally, students have reported finding collaborative computer
laboratory work more enjoyable, engaging, and preferable to
independent work. The integration of computer-supported
collaborative learning (CSCL) into science education presents
opportunities to enhance students' learning experiences through
interactive and collaborative approaches. This study highlights the
importance of student-centered learning design, effective group
dynamics, and reliable technology infrastructure for successful CSCL
implementation. Additional research is required to identify the best
group composition and task design, as well as the implications for
effectively implementing computer-supported collaborative learning in
science laboratories.
2024-01
Science Journal of University of Zakho
(Issue : 3)
(Volume : 5)
Design and Implementation of Student and Alumni Web Portal
The Information and Communication Technology (ICT) has witnessed great development in the recent years. Therefore, the design of Students and Alumni Web Portal (SAWP) involves the analysis of the internal and external environment of the three universities. For this آ آ purpose, SWOT technique has been used to detect the deep effect of environment factors on the strategic plan to discover the strengths, weaknesses, opportunities and threats facing the design of the proposed system. SAWP was designed using (MySQL, HTML, CSS, Java Script, jQuery, PHP, AJAX) techniques to provide robust portal system addressing two subsystems: student and alumni portal system. Testing of the SAWP was administered through two main stages: the first, to identify the student’ s views and their preferences. The second to measure the usability of the system through using System Usability Scale (SUS) method with subscription of 22 potential آ آ system users. The best results of SUS testing are: the rate of overall satisfaction was high nearly 80%. While the implementation outcomes found very compatibility and reasonable in wide extents between available data and system requirements.
2017-09
Thesis
2016-08-03
MSc. in Computer Science (Design and Implementation of Student and Alumni Web Portal)
The Information and Communication Technology (ICT) has witnessed great development in the recent years. Therefore, the design of Students and Alumni Web Portal (SAWP) involves the analysis of the internal and external environment of the three universities. For this آ آ purpose, SWOT technique has been used to detect the deep effect of environment factors on the strategic plan to discover the strengths, weaknesses, opportunities and threats facing the design of the proposed system. SAWP was designed using (MySQL, HTML, CSS, Java Script, jQuery, PHP, AJAX) techniques to provide robust portal system addressing two subsystems: student and alumni portal system. Testing of the SAWP was administered through two main stages: the first, to identify the student’ s views and their preferences. The second to measure the usability of the system through using System Usability Scale (SUS) method with subscription of 22 potential آ آ system users. The best results of SUS testing are: the rate of overall satisfaction was high nearly 80%. While the implementation outcomes found very compatibility and reasonable in wide extents between available data and system requirements.
2016
Conference
5th international Conference on Advance Science and engineering
2025-09
5th international Conference on Advance Science and engineering
The conference is jointly organized by the University of Zakho and Duhok Polytechnic University.
ICOASE2025 brings together researchers, scientists, and technologists from universities, research institutions, and
government agencies around the world. All submitted papers underwent a rigorous double-blind peer-review process
and were critically evaluated by the conference committees. Acceptance decisions were based on the novelty,
technical depth, and relevance of each paper to the conference’s scope.
4th international conference on education and teaching
2024-11
4th international conference on education and teaching
4th international conference on education and teaching
The Information and Communication Technology (ICT) has witnessed great development in the recent years. Therefore, the design of Students and Alumni Web Portal (SAWP) involves the analysis of the internal and external environment of the three universities. For this آ آ purpose, SWOT technique has been used to detect the deep effect of environment factors on the strategic plan to discover the strengths, weaknesses, opportunities and threats facing the design of the proposed system. SAWP was designed using (MySQL, HTML, CSS, Java Script, jQuery, PHP, AJAX) techniques to provide robust portal system addressing two subsystems: student and alumni portal system. Testing of the SAWP was administered through two main stages: the first, to identify the student’ s views and their preferences. The second to measure the usability of the system through using System Usability Scale (SUS) method with subscription of 22 potential آ آ system users. The best results of SUS testing are: the rate of overall satisfaction was high nearly 80%. While the implementation outcomes found very compatibility and reasonable in wide extents between available data and system requirements.
Workshop
university of Zaho
2024-09
Procedure for gaining access and using to the Moodle on campus
procedure for using and gaining access to the moodle on campus
2024
university of Zakho
2024-05
The steps for using and accessing a Moodle at UOZ
how to access and use a Moodle at UOZ
2024
university of Zakho
2024-02
Annual plan to develop the statistical-related matter
annual plan to develop the statistical-related matter
2024
university of Zakho
2023-06
The annual timeline for using an electronic system to enter degrees and obtain certifications for students
The annual timeline for using an electronic system to enter degrees and obtain certifications for students
2023
university of Zakho
2023-01
Annual plan to develop the statistical-related matter
annual plan to develop the statistical-related matter
2023
University of Zakho
2022-04
AR/VR and its applications
AR/VR and its applications workshop
2022
Presidency - Unversity of Zakho
2019-06
E-Learning system (Moodle)
A workshop on using Moodle at university of Zakho
2019
Presidency - Unversity of Zakho
2017-11
E-Learning Google Classroom
A workshop on using Google Classroom at university of Zakho.
2017
Training Course
2022-02-20,2022-06-23
Arabic Proficiency
Arabic Proficiency course at Musol university
2022
2022-02-19,2022-02-24
English Proficiency
English Proficiency at Musol University
2022
2020-10-18,2021-03-12
English Proficiency
English Proficiency
2020
2016-09-12,2016-12-12
Teaching Methods
Teaching Methods, Training and Development Center
2016
2013-06-01,2013-09-30
English Profeciency
English Proficiency , Training and Development Center
