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Studying the Sleep Dynamics in Healthy and disordered Humans
I am actively involved in studying sleep dynamics using machine learning methods. Our goal is to understand different sleep stages through the extracted features. We have found evidence of sleep stage 2 duality and sleep stage inertia.
Data, Shape Analysis, Fault Detection and Diagnosis
During my PhD, I have also been involved in different projects based on data analysis for a wide range of applications. Some brief details are: Analysis and investigation of steam turbine system of Shanghai Electric Power Generation Equipment Co.
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