Research Activity

Time Series Analysis and Anomaly Detection

In modern industrial contexts, the ability to analyze time series data is crucial for predictive maintenance, anomaly detection, and operational efficiency. During my PhD I focus on developing deep learning models for time series analysis, particularly but not limited to context of industrial applications.

I am currently working on projects with several companies that may become public in the future.