He obtained BSc degree in computer engineering from the College of Electrical and Electronic the Techniques-Baghdad in 2007, then started working as IT manager for Nawroz University-Duhok. He also worked as Lab demonstrator at the Computer Science Department of Nawroz University from 2008 to 2011. After receiving full scholarship from the government of Kurdistan region of Iraq, he obtained a MSc degree in Electronic Communication and Computer Engineering from the University of Nottingham-UK in 2012. Currently, he is working as assistant lecturer/IT Specialist for Duhok Polytechnic University, while studing for a PhD degree at the Technical Informatics College of Akre. He has multiple publishtions in different fields such as, NDT, Microcontroller, IoT and Fog Computing.

Dec, 2012

Electronic Communications and Computer Engineering

University of Nottingham - UK

Jun, 2007

Department of Computer Technologies Engineering

College of Electrical and Electronic the Techniques - Baghdad

Mar, 2013
Assistant Lecturer
Professional Experience
Mar, 2017 - Sep, 2019
Department Rapporteur

Computer and Communication Engineering Department of Nawroz University

Duhok, Iraq

▪ Acting on behalf of the head of the department, when he/she not available. ▪ The registry of department council. ▪ Implementing and following up the decisions of the department council. ▪ Supervise the provision of all the requirements of the educational, research, administrative and financial. ▪ Assist in distributing the modules to the department members. ▪ Create lectures and examination time tables. ▪ Assist in holding meetings with the department’s students at least once per semester. ▪ Supervising the preparation of classrooms and providing the necessary inputs for theoretical and practical lectures. ▪ Follow up students' commitment to university regulations.

Mar, 2013 - Sep, 2019
Assistant lecturer

Computer and Communication Engineering Department of Nawroz University

Duhok, Iraq

Teach and supervise undergraduate students. Construct teaching materials according to the curriculum provided by the scientific department. Student Assessment. Produce scientific work. Be evolve in scientific and academic events.

Jan, 2008 - Apr, 2011
Lab Demonstrator

Computer Science Department of Nawroz University

Duhok, Iraq

Maintain a safe work environment in the Lab. Introduce and assist the students in implementing the Lab experiment procedures

Nov, 2007 - Mar, 2017
IT Centre Manager

Nawroz University

Duhok, Iraq

Maintains the organization's effectiveness and efficiency by defining, delivering, and supporting strategic plans for implementing information technologies. Accomplishes information technology staff results by communicating job expectations; planning, monitoring, and appraising job results; coaching, counselling, and disciplining employees; initiating, coordinating, and enforcing systems, policies, and procedures.

Publication Journal
Jun, 2021
Fog Computing Based on Machine Learning: A Review

International Journal of Interactive Mobile Technologies (iJIM) (Issue: 12) (Volume: 15)

Internet of Things (IoT) systems usually produce massive amounts of data, while the number of devices connected to the internet might reach billions by now. Sending all this data over the internet will overhead the cloud and consume bandwidth. Fog computing's (FC) promising technology can solve the issue of computing and networking bottlenecks in large-scale IoT applications. This technology complements the cloud computing by providing processing power and storage to the edge of the network. However, it still suffers from performance and security issues. Thus, machine learning (ML) attracts attention for enabling FC to settle its issues. Lately, there has been a growing trend in utilizing ML to improve FC applications, like resource management, security, lessen latency and power usage. Also, intelligent FC was studied to address issues in industry 4.0, bioinformatics, blockchain and vehicular communication system. Due to the ML vital role in the FC paradigm, this work will shed light on recent studies utilized ML in a FC environment. Background knowledge about ML and FC also presented. This paper categorized the surveyed studies into three groups according to the aim of ML implementation. These studies were thoroughly reviewed and compared using sum-up tables. The results showed that not all studies used the same performance metric except those worked on security issues. In conclusion, the simulations of proposed ML models are not sufficient due to the heterogeneous nature of the FC paradigm.

Mar, 2021
IoT Provisioning QoS based on Cloud and Fog Computing

The Journal of Applied Science and Technology Trends (JASTT) (Issue: 1) (Volume: 2)

The wide-spread Internet of Things (IoT) utilization in almost every scope of our life made it possible to automate daily life tasks with no human intervention. This promising technology has immense potential for making life much easier and open new opportunities for newly developed applications to emerge. However, meeting the diverse Quality of Service (QoS) demands of different applications remains a formidable topic due to diverse traffic patterns, unpredictable network traffic, and resource-limited nature of IoT devices. In this context, application-tailored QoS provisioning mechanisms have been the primary focus of academic research. This paper presents a literature review on QoS techniques developed in academia for IoT applications and investigates current research trends. Background knowledge on IoT, QoS metrics, and critical enabling technologies will be given beforehand, delving into the literature review. According to the comparison presented in this work, the commonly considered QoS metrics are Latency, Reliability, Throughput, and Network Usage. The reviewed studies considered the metrics that fit their provisioning solutions.