Master Thesis in Mathematics on COVID19-related topics

Master Thesis in Mathematics on COVID19-related topics

The research group area  Mathematics: applications and models proposes master thesis on mathematical modelling and computational aspects related to the actual sanitary emergency of COVID19. 
The topics of interests are:

1. Stochastic modelization of Covid19 and related problems.
2. Epidemiological model with social structure and in presence of uncertainties.
3. Control of epidemiological models with time delay/ spatial diffusion.

4. ML/NNs based approaches : from data anlytics to forecasting.

For additional topics we report the following events

Workshop 4 April:  https://epidemicworkshop2020.com.

IEEE-CSS chapter: https://www.youtube.com/channel/UCu9VNSqqvD2FrV6ieA__t1w/featured

ECMI Webinar:  https://www.youtube.com/watch?v=-VnYfYj3xWk
 

Interested students may contact one of the following teacher:

 

Giacomo Albi,  Paolo Dai Pra, Luca Di Persio,  Antonio Marigonda, Giandomenico Orlandi  e Nicola Sansonetto

 


 
Publication date
Monday, May 25, 2020 - 10:31:33 AM
Subject
Master Thesis in Mathematics on COVID19-related topics
Published by
Giacomo Albi
Master's degree in Mathematics