Jacopo Piccini
My background is Aerospace Engineering, in which I have obtained a Bachelor’s Degree and a M.Sc. In my M.Sc. I had the opportunity to understand how methods from control theory can be applied to a variety of fields. Within the Sleep Revolution Project, I am now investigating how these methods can be used to derive a mathematical model of the electrodermal system to better understand electrodermal sleep activity.
Research Interests
- Control Theory
- Signal Processing
- Dynamical Systems
Teaching
- Linear Dynamical Systems
Publications
Piccini, J., August, E., Óskarsdóttir, M., Arnardóttir, E.S. (2023). Using the Electrodermal Activity Signal and Machine Learning for Diagnosing Sleep . Front. Sleep 2:1127697.
Piccini, J., August, E., Hafstein S. & Andersen S. (2023). Sufficient Stability Conditions for a Class of Switched Systems with Multiple Steady States. IEEE Control Systems Letter.