AI Safety and Reliability

Siyuan Chen

Ph.D. Student, Computer Science

AI AI for healthcare AI Safety and Reliability Computational biology personalized healthcare

Siyuan Chen is a Ph.D. candidate in Computer Science at KAUST working with Prof. Xin Gao and Prof. Yu Li, specializing in artificial intelligence for science and healthcare, including biomedical foundation models, agentic AI systems, large language models, computational genomics, and medical image analysis.

Osama N. Hassan

Postdoctoral Research Fellow

Computer Vision multimodal AI Vision-Language Models agentic AI systems AI Safety and Reliability computational imaging

Postdoctoral Fellow in the Image and Video Understanding Lab (IVUL) at KAUST, working with Prof. Bernard Ghanem. His research spans computer vision, vision-language and multimodal models, and agentic AI systems, informed by a background ranging from optical sensing and computational imaging to machine learning for perception and AI systems that reason and act.

Tao Ni

Assistant Professor, Computer Science

Cyber Security AI Safety and Reliability Cyber attacks and defenses resilient cyber-physical mobile computing

Professor Tao Ni (Tony) is focused on securing AI-driven systems, from large language models and autonomous agents to robots, extended reality devices, and IoT platforms, to enable trustworthy computing in critical infrastructure. His approach combines rigorous attack and defense research with hardware-software co-design and secure, efficient on-device AI.