Studying the Sleep Dynamics in Healthy and disordered Humans

Tue, 25 Apr 2023 07:32:33 +0000

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. This project is funded by the China Postdoctoral Science Foundation.

Recently, we published our results for seizure detection using the transient variant of the Deep Boltzmann machine. We extended a similar approach for binary classification of sleep stages. Please check my GitHub for the codes.

Data, Shape Analysis, Fault Detection and Diagnosis

Thu, 02 Jun 2022 13:39:10 +0000

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., Ltd. Turbine Plant from the perspective of fault detection and diagnosis. In this work, manifold learning is adopted for feature extraction and dimensionality reduction. Statistical process monitoring is performed afterward.
Data from a satellite deployment project is investigated. To the aim, several machine learning and shape analysis-based methods such as Procrustes analysis are adopted to experiment with a wide range of fault cases.

Projects |

Studying the Sleep Dynamics in Healthy and disordered Humans

Data, Shape Analysis, Fault Detection and Diagnosis