معرفی
Dr. Abdulrahman Kerim is a Research Fellow in Explainable Machine Learning at the University of Surrey's School of Computer Science and Electronic Engineering. With expertise spanning computer vision, machine learning, and synthetic data generation, his research develops robust AI systems capable of operating under adverse conditions. He holds a PhD in Computer Science from Lancaster University and multiple undergraduate degrees in engineering disciplines.
His research focuses on overcoming data limitations in computer vision through innovative synthetic data approaches. Recent work includes video stabilization algorithms resilient to weather conditions, semantic segmentation models for adverse environments, and procedural data generation frameworks. He authored the book Synthetic Data for Machine Learning detailing modern approaches to synthetic data generation including GANs and diffusion models.
Dr. Kerim has received recognition as a Fellow of the British Machine Vision Association and Associate Fellow of the Higher Education Academy. He serves on the program committee for AAAI and has collaborated with industry partners including Google and Microsoft. His teaching experience includes modules on programming for data scientists, distributed AI, and game design.
