معرفی
Ting Xiao is an Assistant Professor of Data Science at the University of North Texas (UNT), with a joint appointment in the Department of Computer Science and Engineering. His research focuses on machine learning, medical AI, particle physics, and data-driven solutions for interdisciplinary challenges such as healthcare analytics, environmental monitoring, and sociotechnical systems.
Key research areas include medical imaging analysis, multimodal AI for radiology, predictive modeling in public health, and high-energy physics experiments. His work leverages advanced techniques like autoencoders, transformer models, and embedding-based systems to address problems ranging from Parkinson’s disease diagnosis to wildfire prediction and economic law analysis.
Notable contributions include developing frameworks for radiology report generation, embedding-based candidate matching systems, and novel datasets for wildfire spread prediction. Xiao’s interdisciplinary approach bridges computer science, engineering, and domain-specific applications, fostering innovation in both technical and societal contexts.
His recent publications (2023–2025) highlight trends in multimodal AI, medical diagnostics via computational methods, and leveraging large-scale datasets for environmental and socioeconomic forecasting. Xiao’s work is characterized by strong empirical validation and practical impact, often involving collaborations across disciplines.
