·       Mathematical Modelling

·       Physiological Modelling

·       Artificial Intelligence

·       Biomedical Engineering

·       Machine Learning

      i.         Patient asynchrony modelling during controlled mechanical ventilation therapy

     ii.         A machine learning model for real-time asynchronous breathing monitoring

   iii.         Clinical application of respiratory elastance (CARE trial) for mechanically ventilated respiratory failure patients: A model-based study

   iv.         Virtual mechanical ventilation protocol–a model-based method To determine MV settings

     v.         Identifiability of patient effort respiratory mechanics model

   vi.         Generative adversarial network in reconstructing asynchronous breathing cycle

  vii.         Parameter Identification and Identifiability Analysis for Patient-Induced Effort in Respiratory Mechanics Models

viii.         Modelling Patient’s Spontaneous Effort During Controlled Mechanical Ventilation Using Basis Functions

   ix.         Respiratory Mechanics Modelling of Spontaneous Breathing Respiratory Failure Patients and Healthy Subjects