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… intractable problems in different practical applications. Areas of interest include: Quantum Optimization Quantum Machine Learning Quantum Simulation Quantum Error Corrections Quantum Sensing Group (QSense) In this group, we develop …

… Mellon University in Qatar in 2024, with a concentration in Computer Systems. His research interests center on federated learning, privacy-preserving machine learning, and investigating fundamental AI alignment and safety challenges. During his undergraduate studies at … learning Large language model alignment and safety Systems optimization and scaling for LLMs Privacy-preserving machine learning Experience Research Assistant Qatar Computing Research Institute, Hamad Bin Khalifa University 2024 - …

… Fundamental knowledge in data science, engineering and technology, spanning areas such as applied statistics, machine learning, and technological tools such as cloud platforms for large-scale data analysis. Hands-on experience in … research institutes, academia, and government institutions and organizations. Students are also recommended to take a machine-learning course as an elective. A nine-credit research thesis or six-credit industrial project. The program …

… Hogeschool van Amsterdam, Netherlands 1996 Research Interests Mathematical modeling of sugar metabolism in diabetes. Machine learning for disease classification. Multivariate analysis of genomics transcriptomics proteomics metabolomics and …

… a quarter of its budget to social programs, demonstrate how these expenditures boost innovation and productivity. A machine-learning algorithm can optimize traffic flows, but only a society that prioritizes the welfare of all members can … a quarter of its budget to social programs, demonstrate how these expenditures boost innovation and productivity. A machine-learning algorithm can optimize traffic flows, but only a society that prioritizes the welfare of all members can …

… for improved process operations Data-driven modeling fault detection and fault identification of chemical processes Machine learning for process optimization and experimental design Applied mathematics and statistics in chemical engineering …

… for the prediction of response and toxicity to drugs Identification of causal variants in rare genetic diseases Machine learning and data science toward the implementation of precision medicine Experience Associate Professor College of …

… Electrical Engineering Texas A&M University at Qatar 2010 Research Interests Lightweight security for wireless networks Machine learning for wireless communication AI-enabled technology for personalized learning and intervention in children with autism Predictive analytics Experience Associate Professor College of Science …

… of Petroleum and Minerals, Saudi Arabia 1983 Research Interests Intelligent Systems Internet Computing Applied machine learning Cloud Computing Experience Professor College of Science and Engineering, Hamad Bin Khalifa University 2024 - …

… Gomari, S., Rahman, M. A., Hassan, R., Hassan, I., Sleiti, A. K., & Hamilton, M. (2024). Performance analysis of various machine learning algorithms for CO ₂ leak prediction and characterization in geo-sequestration injection wells. Process Safety …