Konstantinos Theodorakos

Research

Time series analysis and modeling in data science application areas

There is an increasing need for time series analysis and modeling in data science applications areas, including health 2.0 and industry 4.0 environments. The resulting dynamical models that capture the correlations of time, are then used for forecasting, monitoring, clustering and classification, and control system design. This PhD will concentrate on machine learning techniques to calculate dynamical models from observed data, and deploy the methodology in a wide variety of industrial and health related applications. 

Publications