CSE Faculty Speaks at Smart City Expo Doha 2022
Prof. Abdelaziz Bouras participated as speaker in the The Smart City Expo Doha 2022, organized by TASMU and the Ministry of Communications and Information Technology in Msheireb, Doha, on 29th and 30th of March. He was one of the speakers of the panel titled “Unleashing the potential of disruptive technologies in urban management”. The panel addressed how different enabling technologies, such as artificial intelligence, blockchain, cloud computing or Internet of Things, will depict the transformation of urban management in the coming years and decades. These trends point out potential gains in terms of robustness, security, flexibility, adaptability, and reliability of public infrastructures running in cities and services delivered to urban dwellers. Unleashing this potential is not only a matter of technological availability and readiness, but also a mix of factors related to project financing and management, public procurement procedures, public-private collaborations, and partnerships, etc. The panel also explored the landscape of hurdles and barriers, and how to overcome them to turn promises of disruption into reality.
Seminar: Security and Resiliency for Critical Infrastructures
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Seminar: Cyber security of next generation healthcare
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Seminar: Demosaicking and Denoising using Convolution Neural Network
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Seminar: Security Enhancements for 5G Wireless Networks
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QU Students Win 2nd Runner Up in Local Microsoft Imagine Cup Competition 2022
A team from QU, called Oryx, came second runner up in the local Microsoft Imagine Cup 2022. Imagine Cup brings together, every year, student innovators using passion and purpose to tackle social issues with tech. Each team creates an innovative solution from start to finish, while competing on a global stage for the title of World Champion. The Oryx team includes Raseena Haris, Jayakanth Kunhoth, Bajeela Aejas, and Najmath Ottakath. The team created Qalbee, a mobile system app for the early prediction of heart disorder risk, under the Health category. Using real-time ECG signals with the help of artificial intelligence algorithms.
The proposed system consists of a smart wearable band and a smartphone application. The smart wearable band is equipped with an ECG sensor and Bluetooth sensor. The embedded ECG sensor continuously records the impulses of the heart and transfers them to the smartphone application via Bluetooth. The smart application communicates with the AI decision-making model deployed in the cloud to predict the abnormality from the processed ECG signal. Upon detecting an anomalous heart rate, the user can be alerted along with authorities for further analysis or immediate action saving a life. The AI model is developed using a latest machine learning algorithm trained on the ECG dataset acquired from the public domain.
Congratulations for the team members!
