Our everyday experience is governed by the world of systems and control. In nature as well as in the man-made world, dynamical systems are ubiquitous. We are increasingly dependent on the purposeful, robust, safe and efficient functioning of dynamical systems around us. We investigate ways of developing stochastic mathematical models for dynamical systems and the signals they generate, and we develop powerful methods to extract useful information. Our research has a wide range of applications such as biomedicine, wireless communication, navigation and wastewater treatment.
- Leveraging Machine Learning for Disease Diagnoses based on Wearable Devices: A Survey. (DOI).
- Evaluating the effects of the COVID-19 pandemic on electricity consumption patterns in the residential, public, commercial and industrial sectors in Sweden. (External link).
- An Online Kullback-Leibler Divergence-Based Stealthy Attack Against Cyber-Physical Systems. (DOI).