Machine learning is often used to fuse and integrate large amounts of heterogeneous data from many different sources to deliver smart/expert analysis or prediction. In this project, students will be asked to apply current machine learning techniques to conduct research on a selected topic from a suite of environmental problems.
Applicants, in consultation with the faculty supervisor, shall first choose a research topic from a suite of environmental problems ((including climate risk analysis, extreme weather prediction, air quality forecasts, real-time location and personalize exposure analysis, smart building energy-saving and environmental improvement, lifestyle and health risks, etc.). Then, using machine learning techniques, the applicant shall try to improve the expert analysis or prediction important for the chosen research topic.
Applicants shall get a much more comprehensive understanding of different machine learning techniques, as well as applying some of them to help address a real-life environmental problem.