Jan, 2015

Information Technology

Cankaya University / Ankara -Turkey

Jul, 2006

computer Science

Al-Hadba College of the University / Mosul - Iraq

Jun, 2015
Assistant Lecturer

Knowledgeable in many programming languages – HTML, JavaScript,Css . Knowledgeable in many programming languages-MySQL,MAT LAB,PHP,C++. Knowledgeable in many Application – Dreamweaver,photo Impact,switch max. Competent in using Windows Excellent in MS office including Word, Excel, Access, PowerPoint, front page. Excellent skills in searching the internet for information and using email. Knowledgeable in web Design

Image Processing, Web Developer, ANN:

Image Processing, Web Developer, ANN

Publication Journal
Oct, 2020
The Fate of The Poultry Industry Forecasting in Kurdistan Region by Using Neural Networks

Journal of Animal and Poultry Production (Issue: 10, October 2020,) (Volume: Vol 11)

The most recent studies demonstrate the predictive power of neural-networks. Used neural-networks were success to predict of economic results trends, and the neural-networks have an advantage, whereas its can the nonlinear functions approximate. In doing so, it can provide the alternative analysis regression of the biology of modeling growth. Some Few searches were conducted by neural-networks on the animal growth model artificially. The present study was conducted to compare, the parameters of various associated input performance. For example, the chickens price/kg in poultry farm, the price/tons of poultry feed, the quantity import of white meat, and the numbers of chickens slaughtered, which is expected to be of help in future for our study. We applied series of data/monthly for rates exchange in between 2009 to 2014. Aims of recent study in the first place; to develop ANN- based models to study the Fate of the Poultry Industry Forecasting in Kurdistan Region. Secondly, through previous data we can recommend that, neural-networks method, more suitable in chicken industries, than the simple analysis regression, if accurate data are collected and processed in such forms.

Dec, 2019
Securing speech signals by watermarking binary images in the wavelet domain

Indonesian Journal of Electrical Engineering and Computer Science (Issue: No. 2, May 2020) (Volume: Vol. 18)

Abstract Digital watermarking is the process of embedding particular information into other signal data in such a way that the quality of the original data is maintained and secured. Watermarking can be performed on images, videos, texts, or audio to protect them from copyright violation. Among all of these types of watermarking, audio watermarking techniques are gaining more interest and becoming more challenging because the quality of such signals is highly affected by the watermarked code. This paper introduces some efficient approaches that have capability to maintain the signals’ quality and preserves the important features of the audio signals. Moreover, the proposed digital audio watermarking approaches are performed in the transform domain. These approaches are gaining more attention due to their robustness or resistance to the attackers. These transform domains include discrete cosine transform (DCT), short-term Fourier transform (STFT), and digital wavelet transform (DWT). Furthermore, the most digital wavelet transforms were found to be applicable for speech watermarking are the Haar and the Daubechies-4.

Dec, 2017
An Optimized Salahaddin University New Campus IP-Network Design using OPNET

International Journal of Advanced Computer Science and Applications (IJACSA) (Issue: 12, 2017.) (Volume: Vol. 8, No. 12, 2017)

Abstract—Salahaddin University is the oldest and the biggest university in Kurdistan region. It involves 14 colleges and 3 academic centers. The new university campus that will be established on an area of 10km2 provides a challenge of designing, efficient and robust networking infrastructure due to increased demand on data and data processing applications like FTP (File Transfer Protocol) which is a vital protocol in an academic environment. At access layer (college level) Wireless Local Area Network (WLAN) is employed to provide Wi-Fi to the end user for ultimate mobility. At backbone level four scenarios have been proposed and tested for a proposed university campus. These scenarios used to connect each college Wi-Fi router to Cisco core switch (6509). The first scenario uses optical fiber cable 1000Base-LX (Gigabit- Ethernet), while in the second scenario the Virtual Local Area Network (VLAN) based core switch is used to connect (Gigabit- Ethernet) cables. The third scenario uses FDDI (Fiber Distributed Data Interface) technology. In the fourth scenario, a combination of the VLAN based core switch and FDDI is presented. In the four scenarios, the core switch is connected to the main router Cisco (7507) which connects the campus network to the cloud. The network performance and behavior have been studied by calculating network load throughput and delay. The system has been implemented using OPNET (Optimized Network Engineering Tool) simulator modular 14.5. The simulation results show that the fourth scenario gives minimum delay while maximum data transfer (throughput) is achieved by the fourth scenario.

Dec, 2019 - Dec, 2019
Online Platform for Academic Teaching and Learning in Iraq and Iran(OPATEL)

Tehran,Iran As Guest

International Workshop at Tahran-Iran Online Platform for Academic Teaching and Learning in Iraq and Iran OPATEL is a three years project started on October 15, 2016, and funded by the European Union through Erasmus+ programme that concentrates on providing Iraqis and Iranian students and teachers with competencies and skills needed by using Learning Management Systems in Education.