Dr. Hui Zhang

Dr. Hui Zhang is a widely recognized industry thought leader in internet architecture, video streaming, and large-scale system design, having taught and conducted research at Carnegie Mellon University for more than 30 years.

He is a pioneering researcher whose work established the direct, measurable connection between video quality and user engagement, shaping how modern streaming platforms evaluate experience and performance. His contributions have been recognized with the National Science Foundation CAREER Award and three ACM Test of Time Awards, including a 2022 honor reserved for research with lasting impact on the field. He is an ACM Fellow and an Alfred P. Sloan Fellow.

At Conviva, Hui co-created the Video QoE Analytics category, building technology trusted by the world's largest streaming platforms, including Fox and Peacock, to deliver reliable, high-quality experiences to millions of consumers. His work also laid the foundation for Conviva's Time-State Data Platform, enabling explainable, real-time analysis of complex systems — an approach now being extended to agentic AI.