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Dr. Shaban and Dr. Abualsaud awarded in cycle 13 of NPRP-S
Two faculty members from out CSE department, Dr. Khaled Shaban and Dr. Khalid Abualsaud have been awarded two research grants as Qatar National Research Fund (QNRF) has announced the awardees for the 13th cycle of its flagship National Priorities Research Program-Standard track (NPRP-S). NPRP is the main funding program of QNRF that can help Qatar to address the grand challenges outlined in the Qatar National Research Strategy. QNRF awarded 75 projects from 10 institutions across Qatar in this cycle. The awarded projects focus on proposing innovative solutions to challenges faced in 4 priority areas, which are energy and environment, biomedical and health, computer science and ICT, and social sciences, arts, and humanities.
(more…)CSE students awarded in Huawei Middle East ICT Competition 2020
Qatar’s team involving 2 CSE students, Maria Rauf Mahsood and Khamrunnisa Pazhayakath, claimed the ‘Outstanding Performance Award’ in the Middle East finals of Huawei ICT competition that was held on the 26th of December 2020.
QU and MIA Organize Workshop on Cultural Heritage in the Digital Era
Prof. Abdelaziz Bouras, the lead PI (LPI) of the CEPROQHA NPRP project, co-organized with the Museum of Islamic Art (MIA) a stakeholders workshop on cultural heritage in the Digital Era. The project is a collaboration between Qatar University and Brunel University London, and is funded by QNRF. The workshop was held on 7th of October and was inaugurated by Dr. Julia Gonella, the Director of Museum of Islamic Art, and Dr. Munir Tag, Senior Program Manager – ICT at QNRF.
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CSE Students Developed System to Help Visually-Impaired People
The CSE students Abdulla Alsada and Saeed Al Hajiri developed a system to help the visually-impaired people under the supervision of Prof. Sumaya Al Maadeed in the scope of the senior project titled “Wearable Object Detection and Avoidance System for the Visually Impaired”.
The aim of project was to help the visually-impaired individuals independently and safely navigate a certain environment using an assistive technology. The project produced a wearable object detection and warning system that is ready for use. The overall goal was to warn the user of the presence and direction of objects and obstacles with a range of 4 cm to 400 cm. The system has a detection rate of over 80%, and 8h life time without charging. It also combines the input of multiple sensors and has a maximum delay of 2 seconds between detection and warning.