Tuesday, 12 January 2021 10:01

Computer Engineering Department hold seminars for graduate students (masters), the research stage

Computer Engineering Department at the University of Technology held sessions for graduate students (masters) at the research stage, where the initial discussion was held for the student (Duha Diaa Khudair) about her research entitled

"Security and Privacy Cyber ​​Physical System with Wireless Sensor Network"

The discussion was supervised by Assist. Prof. Dr. Muayad Sadiq Crook, and by the scientific assistant, Prof. Dr. Ahmed Sabah Al-Araji, in the presence of, the head of Department, Assiat. Prof. Dr. Hassan Jalil Hassan, the administrative assistant, Assiat. Prof. Dr. Hassan Waheed Jiyad,the  branches chairmen and a number of professors and  graduate students Supreme on the conference room in the Department..

  The aim of the project is to achieve the security and privacy of the cyber-visual system, where the fulfillment of the ever-increasing quality of service requirements on the current Internet is a source of great concern as the existing networks are not able to provide these requirements and therefore it was necessary to use a better alternative solution which is the SD-WAN because it has capabilities that enable it to harness Smart applications to dynamically manage the network as the service requirements change.

The student (Hassan Salam Abdul-Amir) was also discussed for his research entitled:

"Development Smart Eyeglasses for Blind and Visually Impaired People Based on Deep Learning Algorithm"

The supervisor is Assist. Prof. Dr. Hassan Jalil Hassan and Lec. Dr. Salma Hamidi Abdullah, under the management of the scientific assistant Prof. Dr. Ahmed Sabah Al-Araji.

The goal of the project is to made a smart glasses to help the visually impaired people to identify the things in front of them as this is done through a small camera placed on the glasses that takes pictures and sends them to a small device called Raspberry pi, where this device analyzes these images based on deep learning and is generated voice to tell the visually impaired what things are in front of him.

In the same session, the research of the student (Ahmed Abdel Karim Talib) was discussed, tagged:

(IoE)        "Autonomous Payments System using Internet of Ever Things Techniques "

(Independent electronic payments system using Internet of Things (IoE) technologies)

 The discussion was supervised by Assist. Prof. Dr. Ayman Dawood Salman and by the scientific assistant, Prof. Dr. Ahmed Sabah Al-Araji, in light of the development in communication networks and the Internet and the urgent need for Iraq to use modern systems, especially the electronic payment system in all commercial transactions and daily life without human intervention, so it became Enabling electronic payments is essential, which will have a significant impact on businesses and the financial sector. By enabling this, we are opening up a whole new field of smart devices and machine-to-machine interactions. A revolution in payment systems is creating opportunities and a new way for how consumers will pay in the future. For example, an autonomous payment system can allow consumers to pay for gas or food, park cars, or automate the payment process in the store. From a consumer point of view, all independent payment systems should be secure and transparent. Some of the concerns relate to issues such as the device that makes the payment, who the parties are involved in, and how to authorize the payment. Thus, user authentication is one of the prerequisites for answering these concerns.

 In this project, the researcher said, we will design and implement an IoT self-payment toolkit in an IoT environment and propose an enhanced user authentication solution that uses user biometrics as an authentication factor.

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