معرفی
Dr. Yang Li is a Senior Lecturer and Programme Leader for the Data Science MSc and Professional Doctorate programs at the University of East London. He is affiliated with the Department of Engineering & Computing in the School of Architecture Computing and Engineering, where he leads courses in data ecology, spatial data analysis, and predictive analytics. A Fellow of the Royal Geographical Society, Royal Statistical Society, and Higher Education Academy, he specializes in data analysis, data mining, and geocomputational methods with applications spanning healthcare, urban development, crime prevention, and financial modeling.
- Data Science
- Geographic Information Systems (GIS)
- Spatial Data Analysis
- Data Quality & Management
- Smart City Research
- Location-Based Services
Dr. Li's research combines data science and geospatial techniques to address complex societal challenges. His work includes AI-driven healthcare analytics for pandemic response, financial market modeling for cryptocurrencies and stock prediction, and urban planning applications focusing on equitable accessibility and population dynamics. He has pioneered methods for geocoding optimization, connected vehicle data validation, and spatial discretization in environmental modeling.
Recent publications highlight his expertise in applying artificial intelligence to healthcare outcomes (Venous Thromboembolism and multi-organ failure prediction in COVID-19 patients), financial analytics (Bitcoin market modeling, stock price direction prediction), and urban/environmental planning (green roof assessment, social infrastructure accessibility). His methodological contributions include advanced feature selection, data quality frameworks, and spatial clustering techniques using modified Voronoi processes.
- Fellow of Royal Geographical Society
- Fellow of Royal Statistical Society
- Fellow of Higher Education Academy
Dr. Li has secured research funding from prestigious bodies including the Department of Health, British Academy, and ESRC. His projects span diverse domains such as EU-funded initiatives, KPMG LLP collaborations, NHS data analysis, and local council urban development studies. He contributes to the Smart City Research Group and Culture & Environment Research Group, integrating data science with geographic and environmental modeling to inform policy and practice.
