Advanced control of manufacturing processes with sparse data information

Doctoral project Ghada Ben Othman

Fractional Order Models Enabling Control Strategies Based on Material Properties

Model identification from sparse and minimal data

Modeling and Clinical Investigation of Bioimpedance for Nociception and Pain Monitoring

Modelling of Lung Tumor Volume Growth and Respiratory Mechanics in Lung Cancer Patients

Safety assurance of optimal control of anesthesia and hemodynamic states in general anesthesia

Modelling and control of Non-Newtonian fluids (MOCONEF)

Personalized therapy for lung cancer patients using respiratory impedance models

A complete drug regulatory guide for surgical interventions under general anesthesia

Development of an integrated end-to-end simulation platform for continuous manufacturing of oral tablets