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CSE Researchers Receive Awards in QU Annual Research Forum and Exhibition

Three researchers from our CSE department have received awards in QU Annual Research Forum and Exhibition 2021. The event brings together students, researchers and academics from the University’s colleges, research centers and institutions, in addition to partners and stakeholders, to assess, review and discuss QU’s research outputs and activities.

Jayakanth Kunhoth, PhD Student and Graduate Research Assistant at our department, received the Qatar University Innovation Award (Students Category) for the device: “SmartHat: An assistive system for people with visual impairments”. The project is supervised by Prof. Somaya Al Maadeed in collaboration with the other team members Nandhini Subhramanian (Research Assistant), and Mohammed Zied Chari (Consultant).
Jayakanth Kunhoth receiving QU Innovation Award 2021 (Students Category)

The device is developed as part of a collaborative research project titled “Smart assistive tools for people with visual impairments”. Visually impaired users can easily wear it on their head and utilize the device to get assistance for navigation, object recognition, obstacle detection, and text recognition especially in indoor areas. The developed system can provide real-time guidance and notification to the user.

Moreover, Nandhini Subramanian (Research Assistant), Jayakanth Kunhoth (PhD Student and Graduate Research Assistant), Prof. Somaya Al Maadeed (Supervisor and Lead PI of the project), and Prof. Ahmed Bouridane (Professor at University of Sharjah, UAE) won the Best Research Poster Award (Faculty and PostDoc Category) for the poster titled “Stego-eHealth: An eHealth System for Secured Transfer of Medical Images Using Image Steganography”.

Nandhini Subramanian awarded the Best Research Poster Award 2021 (Faculty and PostDoc Category)

The work aims to secure the medical data of the patients using image steganography when transferring through untrusted channels. At the sending end, the medical images are embedded in a normal natural scene image and at the receiving end the embedded medical image is extracted for easy access. This work was part of QNRF NPRP11S-0113- 180276 project led by Prof. Somaya.

Congratulations to all the winners!

CSE Faculty Receives QU Research Excellence Award

Prof. Somaya Al-Maadeed has been granted the QU Research Excellence Award in Sciences & Engineering. The awards is were presented at the Qatar University Annual Research Forum & Exhibition 2021 by Dr. Hassan Al-Derham, the president of Qatar University.

Prof. Sumaya receiving the Research Excellence Award in Sciences & Engineering
Prof. Sumaya receiving the Research Excellence Award in Sciences & Engineering

The Research Excellence Award was established to publicly recognize, encourage, and promote the sustained research of QU faculty members and researchers that has significant impact on society, industry, and related disciplines, meeting the vision and mission of the University. The award in 2021 is granted to faculty members and researchers based on their research during the past 5 years, i.e., since January 2016 to present.

Congratulations Dr. Somaya!

A new patent received by CSE faculty

Inventors from Qatar University: Dr Armstrong Nhlabatsi, Eng. Rachael Fernandez, Eng. Alaa Hussein, Dr. Noora Fetais, and Dr Khaled Khan received a new patent titled: “Threat-Specific Security Risk Evaluation for Networked Systems”.

 

From the left: Dr. Khaled Khan, Dr. Noora Fetais, and Dr Armstrong Nhlabatsi

 Existing security risk evaluation approaches do not consider specific security requirements of individual organizations in the security risk evaluation.  This patent has defined a threat-specific risk evaluation approach that uses various security attributes of the cloud as well as the organization-specific security requirements. The patented approach allows a security administrator of the cloud provider to make fine-grained decisions for selecting mitigation strategies in order to protect the outsourced computing assets of individual organizations based on their specific security needs against specific threats.  On the other hand, the proposed approach enables security administrators to compute a range of more effective organization-specific countermeasures with respect to the importance of security requirements and threats. The experimental evaluation results demonstrate that effective security solutions vary due to specific threats prioritized by different organizations for an application in the cloud. Further, the proposed approach is not limited to only the cloud-based systems, but can easily be adopted to other networked systems. We have also developed a software tool to support the proposed approach. This patented approach is an improved technique for monitoring the security of network. The team hopes this invention will make evaluation of network security risk more effective and robust. 

Congratulations to the patent team!

For CSE Students: Microsoft Azure AI Fundamentals Training on Oct 17-18

As part of its collaboration with Qatar University, Microsoft is inviting our CSE students to attend a virtual training on Artificial Intelligence (AI) Fundamentals where you can discover the solutions that are possible to create with AI and the Azure services that can help you build those solutions. The training will be held on Oct 17 & 18 (9:30 AM – 12:30 PM). Below is the training agenda and the MS Teams link to join it.

Agenda

Day 1

Module 1:       Introduction to AI

Module 2:       Machine Learning

Day 2

Module 3:       Computer Vision

Module 4:       Natural Language Processing

Module 5:       Conversational AI

Microsoft Teams meeting

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Phone Conference ID: 822 662 347#

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