CSE SDP Contest Day 2025
On May 6th 2025, the highly anticipated senior project presentations took place at the state-of-the-art new engineering building H07. These remarkable projects, the culmination of tireless efforts by talented students, were subjected to rigorous evaluation by examiners from the CSE department. After careful deliberation, outstanding projects from each program, Computer Science (CS) and Computer Engineering (CE), emerged victorious. Exceptional teams of those winners will be chosen to proudly represent our department in the upcoming college contest. We eagerly anticipate the success that awaits our representatives as they compete at the college level, confident in their abilities, to make our department proud once again.
Winning Projects in CSE-SDP23 Contests Day
CE Rank 1
Project title: Prosthetic Arm with Neural Interface Project
Students: Fathima Amnath Abdeen, Fathima Sifna Nasar, Vasiliki Maria Gerokosta, and Yomna Mohamed.
Supervisor: Dr. Loay Ismail
CE Rank 2
Project title: Flood Detection System in Tunnels
Students: Saqer Almurikhi, Osama Abdelaziz, Fawaz Al-Soufi , and Rashid Alyafei
Supervisor: Prof. Elias Yaacoub.
CE Rank 3
Project title: RESCUE: Radar-based Emergency Swarm for Critical Under-rubble Estimation
Students: Jeham Al-Kuwari , Sultan Al-Harami, Turki Al-Ahzam , and Mohammed Al-Sada
Supervisor: Prof. Amr Mohammed
CS Rank 1
Project title: Nusmi3uk: An Arabic sign language system
Students: FatemaElzahraa Elrotel , Hams Gelban, Rouaa Naim, and Sara Said
Supervisor: Dr. Mohammad Saleh
CS Rank 2
Project title: JerboLab: An Educational Standalone Self-Hosted Home Lab for Hands-On Learning and Development
Students: Mohamed Salih, Abdollah Kandrani Abdulla Al-malki, and Sultan Al-Saad
Supervisor: Dr. Moutaz Saleh
CS Rank 3
Project title: FitMate – Your Partner in Prime”.
Students: Shatha Alhazbi , Sharifa Al-Ansari, Shamaim Hamid, and Fatma Almohanadi
Supervisor: Prof. Saeed Salem
CSE Team Shines at Innovators in Education with AI-Powered Project “Faheem”
A team from the Department of Computer Science and Engineering earned the first place at the “Innovators in Education” event, organized by the College of Education in partnership with the Colleges of Engineering and Business at Qatar University, and proudly sponsored by ExxonMobil.
The award-winning team, comprising Dr. Saleh Alhazbi and senior students Marwan Sayed and Osama Hardan, presented their groundbreaking project titled “Faheem: An AI-Powered Platform to Learn Coding.”
Faheem is a smart educational platform that transforms the way students learn programming by offering an engaging and personalized experience. It includes concise instructional videos, automatically generated quizzes, and an AI-powered chatbot that interacts with learners in natural language. The platform also provides hands-on coding exercises, step-by-step guidance, performance evaluation, and adaptive feedback tailored to each student’s level—creating a fully immersive and individualized learning journey.
Warm congratulations to the team on this remarkable accomplishment!
CSE team secured first place in Qatar Datathon 2025
A CSE team, that includes current students and graduates, won the first place in the Qatar Datathon 2025, organized by the National Planning Council (NPC) in collaboration with Microsoft in Qatar. The team included Sidi Chaikh (Computer Science Student / UI/UX / Frontend Developer), Mohaned Massoud (Computer Science Student / Frontend Developer), Osama Hardan (Computer Science Student / Data Scientist / AI/ML Engineer), Ahmed Ashraf (AI Software Architect), and Youssef Aly (Cybersecurity Researcher).
The Datathon was a highly competitive event in which 35 teams participated, working on real-world challenges using data-driven solutions. Participants were provided with datasets and tasked with developing innovative insights to address critical issues related to national planning and development. The event aimed to encourage the use of data science and AI to drive impactful solutions for urban planning, resource optimization, and economic development.
Their winning project, Insighty, is a data analytics platform designed to provide policymakers and organizations with intelligent insights from large datasets. It leverages machine learning and advanced visualization techniques to simplify complex data, enabling better decision-making in urban planning, resource allocation, and economic development. The platform aims to bridge the gap between raw data and actionable strategies, making data more accessible and impactful.
We are proud of you!
CSE Students Secure 2nd Place at CMU-Q Lifelines Hackathon 2025
CSE students from Qatar University has secured Second Place at the Lifelines Hackathon 2025, a three-week competition organized by students of Carnegie Mellon University in Qatar (CMU-Q) and sponsored by the Qatar Research, Development, and Innovation Council (QRDI). The team included Fatima Ahmed (Computer Science), Shada Ibrahim (Industrial Engineering, Minor in Computer Science), Ranya Merabet (Pharmacy), and Hala Subeh (Industrial Engineering, Minor in Computer Science).
The event started on 9th January 2025, and saw 63 teams from across Qatar that came together to develop cutting-edge solutions aimed at improving crisis management and emergency response.
Their proposed project, SalamTECH, is an advanced three-component system designed to streamline the triage process and enhance emergency communication. It integrates an AI-powered SOS alert system to assess patients in real-time, a live tracking feature for paramedics to optimize response efforts, and instant data access for emergency department staff to ensure seamless coordination. By enabling real-time data sharing, SalamTECH accelerates response times, minimizes miscommunication, and improves the accuracy of patient care, making it a game-changer in crisis management.
We are proud of you!
Join our CSE Graduate Programs!
Applications for Fall 2025 MSc and Ph.D. programs are now open until March 12. Join us!
The Computer Science and Engineering (CSE) Department at Qatar University offers a range of graduate programs, including the Master of Science (MSc) in Computing, Ph.D. in Computer Science, and Ph.D. in Computer Engineering. Our programs are designed to be diverse and inclusive, with a multicultural student body guided by highly qualified and experienced faculty from various disciplines and research fields. Key research areas include artificial intelligence (AI) and applied machine learning, cybersecurity, robotics and computer vision, as well as networks and the Internet of Things, among others.
Equipped with cutting-edge lab facilities and resources, the CSE department provides students with the tools they need to excel in their academic and research endeavors. Our alumni and graduates have secured prominent positions in leading industries and academic institutions in Qatar and across the globe.
Don’t miss this opportunity to advance your career! Applications for Fall 2025 MSc and Ph.D. programs are open until March 12. Apply now!
To know more information about CSE graduate programs, check our CSE department page.
To apply for graduate studies, visit QU graduate application page.
CSE faculty gives a keynote speech on AI applications in the Oil and Gas industry
Prof. Khaled Shaban participated as a keynote speaker and panelist in a workshop titled “Decarbonization and Energy Transition in the Oil and Gas Industry,” organized by the Gas Processing Center at Qatar University on Sunday, December 1, 2024. The workshop provided a vital platform to discuss the transformative role of advanced technologies in addressing the industry’s most pressing challenges.
Prof. Shaban delivered a keynote presentation on “AI and ML: Catalysts for Digital Transformation in the Oil and Gas Industry,” highlighting how artificial intelligence and machine learning are revolutionizing operations by driving efficiency, sustainability, and innovation. The presentation offered valuable insights into key applications, such as autonomous drilling, predictive maintenance, and supply chain optimization, along with actionable strategies to address challenges like data quality issues and resistance to change.
Following the keynote, Prof. Shaban contributed as a panelist, engaging with industry leaders and academics to explore collaborative approaches for implementing AI/ML technologies. The discussions emphasized their potential to enhance operational agility and environmental compliance. His participation underscores a strong commitment to fostering innovation and shaping the future of energy through cutting-edge research and practical solutions.