Ling Huang is a research scientist at Intel Labs. He is currently a member of the Intel Science and Technology Center on Secure Computing at University of California (UC) at Berkeley. Between 2007 and 2011, he was a research scientist at Intel Labs Berkeley. He received his Ph.D. from Computer Science at UC Berkeley. During his Ph.D. study, he was affiliated with RadLab. Prior to UC Berkeley, he obtained B.S. and M.S. degree from Beijing University of Aeronautics and Astroautics (BUAA) in China, and worked more than three years as a system architect and project manager at CAXA, the No.1 CAD/CAM software company in China. Ling Huang's research interests are in machine learning, distributed systems and security, with focus on efficient and distributed machine learning methods for large-scale data processing; machine learning for computer vision, distributed systems and security; system modeling, problem detection and diagnosis. The projects that he has involved include fast and efficient machine learning, semi-supervised learning, face recognition and authentication, console log mining for system problem detection and diagnosis, distributed monitoring and anomaly detection, etc.