Welcome to the research page of the Dynamics, Stability, Control and Optimization Lab (DySCO Lab), led by Prof. Roberto Guglielmi.

The research interests of the DySCO Lab range from developing efficient control and optimization methods for complex dynamical systems to the application of mathematical modelling to describe and enhance our understanding of relevant applications to engineering and life science. To this aim, we combine techniques from

• mathematical modelling and system dynamics;
• control, stability and optimization theory;
• analysis and numerical methods for complex dynamical systems, described by either ordinary or partial differential equations;
• statistical methods and data analysis;
• machine learning.

The research of the DySCO Lab addresses problems in three broad focus areas: Environment and sustainability; Health; and Energy sectors.

As a result, we address both fundamental mathematical questions on control properties of infinite dimensional systems as well as applications of mathematical modelling to optimal distribution of utilities over power grids, robotics for environmental monitoring and precision agriculture, pest management strategies, and statistical analysis of health data.

Below, we present a brief description of some current research projects.