Mohammad A. N. Al-Azawi

Mohammad A. N. Al-Azawi
De Montfort University | DMU · Centre for Computational Intelligence

BSc. Eng. MSc, MPhil, PhD
Associate Prof.

About

46
Publications
26,797
Reads
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101
Citations
Introduction
Dr Mohammad Alazawi is Associate Prof in AI. He has MPhil & PhD in Computational Intelligence from De Montfort University/UK, in addition to his BSc and MSc in Computer Engineering. He has over 20 years of teaching experience. & has published many papers in leading journals and participated in many international Conferences. He is a reviewer and editor for many journals and conferences. His research interests: applying human intelligence on machine vision and AI
Additional affiliations
August 2016 - present
September 2008 - August 2016
Oman College of Management And Technology
Position
  • Head of Department
September 2008 - present
Oman College of Management And Technology
Position
  • Professor (Assistant)
Education
September 2011 - June 2015
De Montfort University
Field of study
  • Artificial intelligence
September 2010 - September 2011
De Montfort University
Field of study
  • Artificial Intelligences
September 1992 - August 1995
University of Baghdad
Field of study
  • Computer and Control Engineering

Publications

Publications (46)
Article
Saliency or salient region extraction from images is still a challenging field as it needs some understanding of the image and its nature. A technique that is suitable for some applications is not necessarily useful in other applications, thus, saliency identification is dependent upon the application. Based on a survey of existing methods of salie...
Conference Paper
Full-text available
Machine vision is still a challenging topic and attracts many researchers. One of the significant differences between machine vision and human vision is attention whuch is one of the important properties of Human Vision System, with which the human can focus only on part of the scene at a time; scenes with more abrupt features shall attract human a...
Article
Full-text available
Image segmentation is one of the most important techniques in image processing. It is widely used in different applications such as computer vision, digital pattern recognition, robot vision, etc. Histogram was the earliest feature that has been used for isolating objects from their background, it is widely applicable in different application...
Conference Paper
Full-text available
In computer vision applications it is necessary to extract the regions of interest in order to reduce the search space and to improve image contents identification. Human-Oriented Regions of Interest can be extracted by collecting some feedback from the user. The feedback usually provided by the user by giving different ranks for the identified reg...
Conference Paper
Full-text available
Saliency or Salient regions extractions form images is still a challenging field since it needs some understanding for the image and the nature of the image. The technique that is suitable in some application is not necessarily useful in other application, thus, saliency enhancement is application oriented. In this paper, a new technique of extract...
Article
Full-text available
Medical image processing, which includes many applications such as magnetic resonance image (MRI) processing, is one of the most significant fields of computer-aided diagnostic (CAD) systems. It has witnessed great growth over the last few decades as a result of the tremendous advancements in computer technology. One of the applications that uses M...
Chapter
Full-text available
Nowadays, email is an important medium of communication used by almost everyone whether for official or personal purposes, and this has encouraged some users to exploit this medium to send spam emails either for marketing purposes or for potentially harmful purposes. The massive increase in the number of spam messages led to the need to find ways t...
Article
Full-text available
Medical image processing, which includes many applications such as magnetic resonance image (MRI) processing, is one of the most significant fields of computer-aided diagnostic (CAD) systems. the detection and identification of abnormalities in the magnetic resonance imaging of the brain is one of the important applications that uses magnetic reson...
Article
Full-text available
Saliency extraction is a technique inspired by the human approach in processing a selected portion of the visual information received. This feature in the human visual system helps reduce the processing the brain needs to extract important information and neglect general and unimportant information. This paper presents a novel approach to identifyi...
Article
Full-text available
In our previous studies, we showed that brain abnormalities can be detected by comparing the features extracted from the two lobes with each other. Based on this, many metrics, such as those extracted from colour or texture features, have been extracted and used. The large number of extracted metrics posed a challenge in terms of how important each...
Article
Full-text available
This study sheds light on risks pertaining to interruptions disturbing the continuity of the course of higher academic education and the inability of students to attend regular classes for any reasons that may occur. Further enquiry is conducted as to how the institution can be equipped in lieu of the occurrence of such incidents. As there is some...
Conference Paper
Full-text available
This study sheds light on risks pertaining to interruptions disturbing the continuity of the course of higher academic education and the inability of students to attend regular classes for any reasons that may occur. Further enquiry is conducted as to how the institution can be equipped in lieu of the occurrence of such incidents. As there is some...
Article
Full-text available
Due to the importance of searching for an image in a database in various applications, many algorithms have been proposed to identify the contents of the image. Algorithms that identify the content of the image as a whole can offer good results in some applications and fail to produce satisfactory results in other applications. Therefore, searching...
Article
Full-text available
Due to the great development in the field of digital image processing, it has become an integral and important part of computer-aided diagnosis systems. Magnetic resonance image (MRI) processing is one of the hot fields that attracted researchers due to its role in improving and speeding up diagnosis. This work presents a new method for identifying...
Article
Full-text available
Developing systems inspired by human intelligence was the interest of research for many decades. Human vision is one of the fields the researchers tried to simulate and imitate to develop powerful machine vision systems. This research focuses on the advantages of extracting regions of interest from a scene in reducing the processing power and stora...
Article
Full-text available
Eye tracking is one of the important technologies that is used to identify individual's interest by recording and analysing his/her eyes' movements. The attention and interest identification can be, then, used in various applications such as marketing and education. In this research, we utilise this technology and apply it in consumer behaviour app...
Article
Full-text available
OPSO and AAPSO are the most recently developed face recognition techniques, in order to optimize the parameters of SVM. However, in order to increase the optimization, a combination between OPSO and AAPSO techniques has been proposed in this paper. The proposed technique is called Adaptive-Opposition particle swarm optimization (AOPSO). In AOPSO, t...
Presentation
Keynote in the conference..
Conference Paper
Full-text available
Abstract—This research focuses on the use of human visual attention (HVA) principles to improve machine vision processing by understanding these principles and simulating them in salient regions extraction. It includes a brief explanation for HVA and salient point extraction and comparison between them. It, also, reviews some state-of-the-art appro...
Conference Paper
Full-text available
Abstract— This research presents an approach of the application of salient regions extraction in identifying the contents of an image which is referred to as Saliency-Based Image Retrieval System (SBIR). A discussion of Content-based image retrieval (CBIR), image identification and evaluation of image retrieval systems is presented in this paper as...
Article
Full-text available
Most of the studies in image contents recognition and identification focus on identifying the objects that the image contains. Although, background identification is an important part of any image contents identification and description, it has received less attention. Background identification is as important as the objects in the image in describ...
Conference Paper
Abstract—Machine vision is still a challenging topic and attracts researchers to carry out researches in this field. Efforts have been placed to design machine vision systems (MVS) that are inspired by human vision system (HVS). Attention is one of the important properties of HVS, with which the human can focus only on part of the scene at a time;...
Conference Paper
Abstract—Machine vision is still a challenging topic and attracts researchers to carry out researches in this field. Efforts have been placed to design machine vision systems (MVS) that are inspired by human vision system (HVS). Attention is one of the important properties of HVS, with which the human can focus only on part of the scene at a time;...
Conference Paper
Full-text available
Abstract—Machine vision is still a challenging topic and attracts researchers to carry out researches in this field. Efforts have been placed to design machine vision systems (MVS) that are inspired by human vision system (HVS). Attention is one of the important properties of HVS, with which the human can focus only on part of the scene at a time;...
Thesis
This research introduces an image retrieval system which is, in different ways, inspired by the human vision system. The main problems with existing machine vision systems and image understanding are studied and identified, in order to design a system that relies on human image understanding. The main improvement of the developed system is that it...
Article
Abstract— Saliency or Salient region extraction from images is still a challenging field as it needs some understanding of the image and its nature. A technique that is suitable for some applications is not necessarily useful in other applications, thus, saliency enhancement is application-oriented. Based on a survey of existing methods of saliency...
Article
Image segmentation is one of the most important techniques in image processing. It is widely used in different applications such as computer vision, digital pattern recognition, robot vision, etc. Histogram was the earliest feature that has been used for isolating objects from their background, it is widely applicable in different application in wh...
Article
Full-text available
Image segmentation is one of the most important techniques in image processing. It is widely used in different applications such as computer vision, digital pattern recognition, robot vision, etc. Histogram was the earliest feature that has been used for isolating objects from their background, it is widely applicable in different application...
Presentation
Full-text available
Human attention which is represented by the place he focuses on can give impression about the person interest, thus eyes tracking systems have become one of the important tools in different applications. Nowadays the collection of the gaze points from the user became easy and available, though, filtering and grouping these points to form the region...
Conference Paper
Abstract— Image segmentation is one of the most important techniques in image processing, it is widely used in variety of applications like; computer vision, digital pattern recognition, robot vision, etc. histogram was the earliest feature which has been used for segmenting objects from their background, it is widely applicable in different applic...
Article
Full-text available
Image recognition and understanding is one of the most interesting fields of researches. Its main idea is to bridge the gap between the high level human image understanding and the low level machine image representation. Quite a lot of applications have been suggested in different fields like medicine, industry, robotics, satellite imagery and othe...
Conference Paper
http://www.academia.edu/1934322/Reflections_on_the_use_of_ICT_for_effective_learning_at_Oman_College
Conference Paper
"An edge matching technique has been used in this work where an algorithm was developed for detecting & coding the edge points which depends on the direction of the edge points the coding is followed by’ edge thinning, edge linking & isolated points removing .Then points tracing process is performed to form the straight lines. Lines matching operat...
Article
BSTRACT An edge matching technique has been used in this work where an algorithm was developed for detecting & coding the edge points which depends on the direction of the edge points the coding is followed by edge thining, edge linking & isolated points removing. Then points tracing process is performed to form the straight lines. Lines matching o...

Questions

Questions (5)
Question
To develop a survey to collect information and create a dataset to study the reasons and effects of social media addiction, I would appreciate it if you take some time to give your feedback and opinions.
The following are the main questions,
Please feel free to suggest any other questions or factors and I will develop the form and share it with you.
Please refer to the project in the following link to follow the progress and updates:
  • Factors used to measure the level of a person's addiction to social media:
  1. Number of hours a person spends browsing social media platforms
  2. Number of social media platforms a person has accounts on
  3. Number of followers on each platform
  • The purpose of using social media
  1. - Playing games
  2. - Follow the news
  3. - Meet new friends
  4. - E-Commerce
  5. - Entertainment
  • Personal Information
  1. Age
  2. Educational level
  3. Employability status
  4. Monthly income
  5. Specialization
Question
Dear Colleagues
One of my students is studying the reasons that encourage social media platforms users to spread fake news. Please take a few minutes to share your opinion and fill out the questionnaire at the following link
Your participation is highly appreciated

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Cited By

Projects

Projects (9)
Project
The main goal of this project is to study the reasons and effects of addicting social media and to create a dataset that can be used in different research such as AI and Machine learning.
Project
in this project I will try to add projects written in C# for Image processing, I will try to update the project and add new codes continuously.. Please check the Updates of the project..