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… of an entire population were already integrated into electronic health records where artificial intelligence (AI) and machine learning could be rapidly applied to understand disease risk. This could provide us with valuable insights on how to … of an entire population were already integrated into electronic health records where artificial intelligence (AI) and machine learning could be rapidly applied to understand disease risk. This could provide us with valuable insights on how …

… the first Arabic Digital phenotyping for social communication behaviors, as a diagnostic tool for autism, using machine learning and artificial intelligence in collaboration with Argus Cognitive, USA. The group is committed to establishing a …

… systems. These models are paired with CRISPR genome editing and functional readouts, and we integrate multi-omics with machine learning analytics to map conserved dysfunction signatures and prioritise therapeutic targets. In parallel, we study the …

… Computer Engineering) Qatar University 2020 BSc in Computer Engineering Qatar University 2018 Research Interests Deep Learning Reinforcement Learning Machine Learning Artificial Intelligence (AI) Unmanned Aerial Vehicles technologies Anti-drone Systems Network …

Home Publications 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 College of Islamic Studies College of Humanities and Social Sciences College of Science and Engineering College of Law College of Health and Life Sciences College of Public Policy Qatar Biomedical Research Institute Qatar Computing Research Institute Qatar Environment and Energy Research Institute School of Economics and Management Publication date (Year Only) - Any - 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 …

… Andrew Carnegie Scholar Award at Carnegie Mellon University. Before joining QCRI, Dorde’s research focused on federated learning and edge computing. His senior thesis was the runner-up for the Allen Newell Award for Excellence in … of the Minds Research Symposium. Currently, his research projects focus on Trojan backdoor attacks and defenses in deep learning. Alongside his collaborators, Dorde developed a detection technique for these attacks that won second place and … Science Carnegie Mellon University 2022 Research Interests Trojan Backdoor Attacks and Defenses in Deep Learning Robust Machine Learning Federated Learning Ethics of Artificial Intelligence Experience Research Assistant Qatar Computing …

… Software Engineering Data Science Robotics Experience Software Engineer QCRI; HBKU 2020 - Present Student Mentor Machine Learning Nanodegree; Udacity 2017 - Present Research Assistant QTTSC; Qatar University 2018 - 2020 Test Systems Developer …

… of the Arabic Language Technologies team is centered around the intersection of Natural Language Processing and Deep Learning, and he has worked on wide variety of problems in these fields, including machine translation, language modeling, and explainability in deep neural networks. He also spends his time converting … Computer Science Carnegie Mellon University; Pittsburgh/United States of America 2014 Research Interests Deep Learning Machine Learning Natural Language Processing Explainable AI Machine Translation Experience Software Engineer Qatar …

… and glucose levels. He is experienced in utilizing libraries for large language models and training them on multi-GPU machines. Education MS in Data Science and Engineering Hamad Bin Khalifa University 2016 - 2018 BS in Computer Science Carnegie Mellon University in Qatar 2010 - 2014 Research Interests Data Science Applied Machine Learning Software Engineering Experience Software Engineer Qatar Computing Research Institute, Hamad Bin Khalifa …

… sequencing to study the role of long non-coding RNAs in this effect. Additionally, in collaboration with experts in machine learning and biostatics, the team also develops risk models for diabetes and prediabetes.  Research Team Dr. Abdelilah …