Dr Yang Li
Senior Lecturer
Smart City Research Group, Culture & Environment Research Group
Department of Engineering & Computing , School Of Architecture, Computing And Engineering
Dr Yang Li is a specialist in data analysis, data mining, data quality and geocomputation. He is a senior lecturer and the programme leader of Data Science (MSc and Professional Doctorate) in University of East London. He is also a Fellow of Royal Geographical Society, a Fellow of Royal Statistical
Areas Of Interest
Data analysis, Data quality, Data management, Data mining, Data modelling and GIS, in the application areas of policing and crime, healthcare services, education, business and finance, urban development, community and environment.
Data Science and Geographic Information Science
- Quantitative analysis
- Data mining & modelling
- Data quality & data management
- Big Data and Smart City
- Spatial data analysis
- Spatial Data quality analysis
- GIS and Environmental modelling
- Location-Based Services (LBS)
OVERVIEW
Dr Yang Li has rich experiences in both applications and research of data analysis. Particularly, he has expertise in data mining, data integration and geocomputational analysis including data quality modelling and sensitivity analyses. He is a Senior Lecturer and the programme leader of Data Science (MSc and Professional Doctorate) in University of East London. He is also a Fellow of Royal Geographical Society, a Fellow of Royal Statistical Society, and a Fellow of Higher Education Academy.
He has participated in numerous secondary data analysis projects, including for EU, OGI, KPMG LLP, NHS, local councils and charity organisations. He has undertaken a range of research projects funded by Department of Health, British Academy and ESRC. His works cover areas of crime, health, education, planning, community and environment.
Dr Yang Li has a number of papers published in peer-review research journals, edited books, international conferences and technology magazines.
RESEARCH AND IMPACT
Secondary data analysis projects, including for EU, OGI, KPMG LLP, NHS, local councils and charity organisations. A range of research projects funded by Department of Health, British Academy and ESRC. Application areas of crime, health, education, planning, community and environment.
MOST RECENT RESEARCH
- Present: UCL Bloomsbury and East London Doctoral Training Partnership
- 2021: Cryptocurrency market modelling
- 2016: Smart Cities - Promoting Resilience in Newham
TEACHING
- DS7001 Data Ecology
- DS7002 Spatial Data Analysis
- DS7003 Advance Decision Making - Predictive Analytics and Machine Learning
- DS7004 Work-based Project Review
- DS7005 Planning for Doctoral Research
- DS7006 Quantitative Data Analysis
- DS7010 MSc Data Science Dissertation
- CN8001 Applied Research Tools & Techniques
MSc Data Science
Look at data across a wide range of subjects, including finance, crime, the environment, housing, education, demographics and social media.
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Prof Doc Data Science
This course is aimed at professionals who wish to enhance and/or validate data-centric, evidence-based approaches within their chosen career.
Read more about this coursePublications
Browse past publications by year.
Full publications list
Visit the research repository to view a full list of publications
- A Comparative Analysis of LSTM, ARIMA, XGBoost Algorithms in Predicting Stock Price Direction Engineering And Technology Journal. 9 (8), p. 4978–4986. https://doi.org/10.47191/etj/v9i08.50
- Credit Rating Prediction Using Different Machine Learning Techniques. International International Journal of Data Science and Advanced Analytics. 5 (5), pp. 219-238
- Evidencing the impacts of the Olympic Games: The view from London 2012 in: Neri, M. (ed.) Evaluating the Local Impacts of the Rio Olympics. Routledge
- Spatial Analysis for Equitable Accessibility in Social Infrastructure Planning in: Timmermans, Harry (ed.) Design & Decision Support Systems in Architecture and Urban Planning. Eindhoven University of Technology