Huang

Dr. Mei-Lin Huang is an IPTV Scientist at the intersection of artificial intelligence and video delivery networks. Her work leverages deep learning to predict viewer engagement patterns, enabling proactive quality adjustments that prevent buffering before it happens. She has developed an AI-driven orchestration layer that coordinates content servers, CDNs, and last-mile networks in real time, achieving near-zero stall rates even during peak viewing hours. Her research has been instrumental in powering large-scale events like the Asian Games and New Year's Eve broadcasts across multiple time zones. She also investigates immersive streaming formats, including VR and 360-degree video, pushing the boundaries of what IPTV can deliver. With over 20 journal publications and several industry awards to her name, she continues to shape the future of intelligent streaming. To review her academic papers, system architectures, and real-world deployment outcomes, here are below some of my references.