Methods:

• Advanced mechanistic and mechanistic-statistical models for the transmission of infectious diseases.

• Nonlinear dynamics and spatially extended stochastic processes

• Bayesian model calibration.

• Probabilistic screening.

• Multiscale molecular simulation.

• Binding free energy calculation.

• Stochastic ABM.

• Discrete Element Methods - stochastic pedestrian dynamics.

• Smoothed Dissipative Particle Dynamics.

• Machine learning techniques.

Target:

• Advanced modelling of epidemic oubreaks and spread of disease: prediction and control

• Main protease (Mpro).

• ARS-CoV-2-S - ACE2 complex.

• Nonlocal models of pathogen spreading using Agent-Based Models.

• Modeling infection spreading coupled with pedestrian flow.

• Multiscale modelling of clotting.

• Analysis of RX images to detect COVID-19.

• Analysis of COVID-19 Mobile App datasets.