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CSE Research Team Wins in AI National Competition
A research team from CSE department has won the first place at Track 2 (Proof of concept and Demos) of the 2nd annual Artificial Intelligence National Competition announced today by the organizing committee. The team consists of Nandhini Subramanian (Research Assistant and former CSE MSc student), Dr. Omar Elharrouss, Post Doc Researcher at our department, and Prof. Somaya Al Maadeed. The winning demo is titled “Reversible Image Steganography Using Auto Encoder-Decoder Deep Learning Methods”, which is part of QNRF NPRP11S-0113- 180276 project.
Image steganography is used to hide secret images inside the cover image in plain sight. Traditionally, the secret data is converted into binary bits and the cover image is manipulated statistically to embed the secret binary bits. Overloading the cover image may lead to distortions and the secret information may become visible. Hence the hiding capacity of the traditional methods are limited. In their project, an unique, light-weight and simple deep convolutional auto encoder architecture is proposed to embed the secret image inside the cover image as well as to extract the embedded secret image from the reconstructed stego image.
The AI national competition is a national competition challenging students, developers, professionals, and researchers to develop and demonstrate how humans can collaborate with powerful Artificial Intelligence (AI) technologies to tackle some challenges for different applications. It raises awareness of AI technologies in Qatar, supports building local capacity in this timely and crucial area, and provides a platform for participants to share AI ideas and applications.
CSE PhD Students Win “Best Paper Award” at WANLP 2021
Three PhD students of our department, Fatima Haouari, Maram Hasanain, and Reem Suwaileh, all supervised by Dr. Tamer Elsayed, have won the “Best Paper Award” on their paper titled “ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection” at the Sixth Arabic Natural Language Processing Workshop (WANLP 2021), the premier venue for Arabic NLP, that was held on April 19th and co-located with EACL 2021 conference.
The paper aims to facilitate research on misinformation detection on social media, during this complex and historical period of our time, by introducing a manually-annotated Arabic dataset that covers tweets spreading COVID-19 related claims. ArCOV19-Rumors supports two levels of misinformation detection over Twitter: verifying free-text claims (called claim-level verification) and verifying claims expressed in tweets (called tweet-level verification). ArCOV19-Rumors is the only Arabic dataset made available to support both claim-level and tweet-level verification tasks in Twitter given the propagation networks of the tweets in general and on COVID-19 in particular. The dataset covers, in addition to health, claims related to other topical categories that were influenced by COVID-19, namely, social, politics, sports, entertainment, and religion.
The paper offers baselines for future research on the problem by presenting benchmarking results using SOTA models of versatile approaches that either exploit content, user profiles features, temporal features, or propagation structure of the conversational threads for tweet verification.
Congratulations to Fatima , Maram , Reem, and Dr. Tamer!
CSE PhD Candidate Receives Best Doctoral Consortium Paper Award at International Conference
Marwa Essam, a Computer Science PhD candidate in our CSE department, supervised by Dr. Tamer Elsayed, has received the “Best Doctoral Consortium Paper Award”, based on her paper that summarizes her PhD proposal, at the 43rd European Conference on Information Retrieval (ECIR 2021) that was just held last week. ECIR is one of the top conferences in the IR field, and is ranked at the “A” level in the CORE conference ranking.
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 Members Gave Research Talks at QNRF AI Seminar
Dr. Tamer Elsayed, Dr. Khaled Shaban, and Ms. Abeer Al-Marridi (a CE PhD Candidate) have given three research talks at the Research Outcome Seminar titled “Artificial Intelligence in Qatar: Current R&D Activities and Challenges” organized by Qatar National Research Fund (QNRF). This seminar aimed to highlight AI and its practical applications in Qatar through the presentation of some promising projects that illustrated their integrated role in providing advanced digital services and developing strategies to improve the standard of living in Qatar.
US Patent Granted to Dr. Khan for Adaptive Security Research
Dr. Khaled Khan and Dr. Armstrong Nhlabatsi from the College of Engineering at Qatar University (QU) have recently obtained a US Patent (No. 10,713,355) for their invention of adaptive security. This research project was funded by the Qatar National Research Fund (QNRF).