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QU Ranked among Top 125 Universities Worldwide in Computer Science (THE 2021)

Qatar University has been ranked among the top 125 universities worldwide in Computer Science, according to Times Higher Education (THE) World University Ranking of 2021 that was just released. The ranking also positions QU as the first in the Arab world in that subject. This is indeed a big achievement for our department. It is surely a result of years of active and hard work in planning, teaching, and research. Congratulations to all members! (more…)

Qatar Seeds for the Future 2021

Under the endorsement of Qatar Communication Regulatory Authority, Huawei Technologies organized its 4th edition of “Seeds for the Future” program over 8-day online training from 23 to 30 August 2021 for Qatar top students to obtain valuable cutting-edge ICT knowledge developed by Huawei’s Headquarters. The program offered a rich experience involving technology courses including 5G, cloud computing, AI, IoT, leadership course, and participation in “Tech4Good” group project.

This year 31 students from QU, HBKU, and CCQ have participated in the program and so proudly QU students represented by CSE department have achieved the highest number of distributed awards. Following is the complete list of our CSE-QU student winners for each award category:

Best Tech4Good Project: Abhigyan Kishor, Fatemeh Ahmadizdeh, Ziad Abdelazim Sabry Abdelazim, Ifran Ahmed Rafi, Kulsum Kader, Noof Mohammed Ali Hassan Qassmi, Sofia Basha

Daily Best Student: Moslem Al Qawasmi, MahnoorAkhund, ZainehAbughazzah

Best Team Leader: Kulsum Kader

Best Performance: Amira Radwan Menisy Abdalla, Fatma Elnahas

Social Media: Moslem Al Qawasmi

Top 5 Students: Islam Hamdi, Sofia Basha

Big congratulations for all our wining students and wishing them the bright future in their study and beyond!

We are Hiring!!!

We are looking for:

Assistant Professor – Associate Professor – Full Professor 

The applicant should possess a Ph.D. degree in Computer Science or Computer Engineering from a reputable university and should demonstrate a strong record in teaching, research, and service. While applications in all areas of computing will be considered for evaluation, the following areas are of high interest: Artificial Intelligence (all sub-areas with emphasis on Machine Learning), Big Data/Data Science/Analytics, Embedded Systems, Robotics, Blockchain, Cybersecurity and Autonomous Systems.

More information is available in the attached file: Here 

Lecturer:

The applicant should possess Ph.D. or a Master degree in Computer Science or Engineering from a reputable University and should demonstrate a strong record in teaching and services. We are looking for a highly motivated individual to join the department and work with a dynamic team. Applications in all areas of Computer Engineering and Science will be considered for evaluation.

More information is available in the attached file: Here

Teaching Assistant:

 The applicant should possess a Master degree in Computer Science or Engineering from a reputable University and should demonstrate a strong record in teaching and services. We are looking for a highly motivated individual to join the department and work with a dynamic team. Applications in all areas of Computer Engineering and Science will be considered for evaluation.

More information is available in the attached file: Here

How To Apply: 

  1. New applicant: The application needs to set up an account here  and complete the personal profile and apply to the selected position.
  2. Returning applicant: The applicant should log in to his/her account in here and update first his/her information and then apply.
  3. The IDs of the different positions are as follows:

    Position

    ID

    Full Professor

    IRC2120

    Associate Professor

    IRC21041

    Assistant Professor

    IRC21039

    Lecturer

    IRC21265

    Teaching Assistant

    IRC13743

The positions are available beginning January 2022 or August 2022.

New Patent Granted for CSE Faculty in Collaboration with KINDI Center

Right side :Dr Khaled Khan (CSE), Left Side: Dr. Armstrong Nhlabatsi (KINDI Center).

Dr. Khaled Khan and Dr. Noora Fetais from the Department of Computer Science and Engineering (CSE) have been awarded a patent titled “Methods and Systems for Monitoring Network Security” in collaboration with KINDI Center for Computing Research in the College of Engineering at Qatar University.


The Qatar National Research Funds has supported this research under National Priority Research Program (NPRP8-531-1-111). Dr. Khaled and Dr Noora acted as the Lead PI and PI of the project respectively. Dr. Armstrong Nhlabatsi from KINDI also participated in the research project. They collaborated with the researchers from the University of Canterbury (New Zealand) and the University of Queensland (Australia).  

Modern networks are becoming more and more dynamic, such as frequent changes compared to the traditional static networks (e.g., hosts addition and removal, vulnerability change, applications and services update, and attack surface change). In a dynamic network, the configuration of at least one of the hosts or edges changes over time. The dynamic network is a network selected from a group of configured components including cloud computing, a software-defined networking arrangement, or an Internet of Things network. As network components change over time, the security posture of the network also changes, as vulnerabilities associated with the network components shift accordingly. Hence, it is of paramount importance to be able to assess the security of dynamic networks in order to understand and further enhance the security. 

Al Sharq newsletter, and Al Arab newsletter covering the achievement

This patented approach is a new technique for monitoring the security of a computing network, which includes a plurality of hosts and a plurality of edges which link connected hosts. The method comprises capturing and storing network state information in response to at least one of the time-driven trigger, an event-driven trigger or a user-driven trigger. The method further comprises storing security-related data which is indicative of the change in the security of the network during the time window for a user to monitor the change in the security of the network. Detecting a change in the security of the network comprises at least one of the following events: the addition of a new host to the network; the removal of a host from the network; the addition of a new edge to the network; the removal of an edge from the network; the addition of a vulnerability to a host in the network; or the removal of a vulnerability from a host in the network. The method calculates at least one security metric for the network and a weight value for at least one of the components in the network. The approach is capable of capturing such critical changes and reflecting the modified security posture in order to precisely assess the security of dynamic networks. 

Al Raya newsletter, and the AlWatan newsletter covering the achievement

Programming Contest for First-year Students (Spring 2021)

Winners of programming contest for first-year students (Spring2021)

To motivate our new students and highlight the importance of programming, the CSE department organized a programming contest for the students who enrolled in all sections in programming concept course (CMPS151). The contest was held in two rounds. In the first round, 24 students participated in 9 teams.  Based on their submissions, the best five teams were shortlisted to continue to the second round. The teams in the second round presented their works to the contest committee. All teams have shown excellent efforts and used a variety of techniques to solve the problems.  

The CSE department would like to thank all participants and would like to congratulate the winners.

 

Dr. Khaled Shaban promoted to Professor

تهانينا القلبية لد. خالد شعبان على ترقيته لدرجة أستاذ بقسم علوم وهندسة الحاسب وتمنياتنا له بالتوفيق في خطواته المستقبلية.

Congratulations to Dr. Khalid Shaban for his promotion to Professor rank and we wish him great success in his future endeavors

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!