Artificial Intelligence and Machine Learning Research KAUST Computer Science program conducts research in AI and ML, focusing on scalable models, neural networks, optimization, and generative AI with practical applications.
Computational Biosciences and Bioinformatics Research Research at KAUST in Computational Bioscience and Bioinformatics focuses on bioinformatics, computational genomics, systems biology, drug discovery, and AI-driven disease diagnostics and more.
Computing Systems and Databases Research KAUST Computing Systems and Databases research covers databases, distributed systems, IoT, programming languages, modern hardware architectures, networks, cloud and edge computing, and AI, focusing on building scalable and dependable systems.
High-Performance Computing and Big Data Research The computer science visual computing research area focuses on developing computational algorithms and machine learning frameworks to address complex challenges in the visual domain.
Research Areas Research Pioneering Research Excellence The Computer Science (CS) program at KAUST is a leading force in research with global impact. Through collaborative and interdisciplinary exploration, we tackle complex global challenges facing the Kingdom and the world, making significant contributions to theoretical knowledge and developing practical solutions in this rapidly evolving field. KAUST empowers our researchers through a network of state-of-the-art Core Labs, each housing advanced technologies and supported by expert staff. These multidisciplinary laboratories serve as a cornerstone of the university
Resilient Computing and Cybersecurity Research Research at KAUST in Resilient Computing and Cybersecurity focuses on secure distributed systems, data privacy, trusted architectures, and trustworthy AI/ML for critical applications.
Theoretical Computer Science Research KAUST Theoretical Computer Science research explores algorithm complexity, decision tree models, dynamic programming, and applications in combinatorial optimization, machine learning, and data mining.
Visual Computing and Computational Imaging Research The computer science visual computing research area focuses on developing computational algorithms and machine learning frameworks to address complex challenges in the visual domain.
