Current/Recent Research Projects

Examples of current and recent research projects

Process Measurements

• Developing reliable data-driven soft-sensors for product quality monitoring
• Modelling of Particle Size, Shape and Size Distribution in Pharmaceutical Suspensions and the Effects on Visible/Near Infrared (vis-NIR) Spectra
• Dealing with challenges related to automated high- throughput hyperspectral imaging for assessment of tea products
• Assessment of novel measurement technologies for process monitoring and use of chemometric advances to facilitate their application 
• Methods of in-situ monitoring of suspension polymerisation for process understanding and optimisation
• Reaction monitoring using SABRE-hyperpolarised benchtop (1 T) NMR spectroscopy
• A paradigm shift in low-field NMR spectroscopy for industrial process monitoring, control, and optimisation: SABRE – Enhanced sensitivity Low field NMR
• Spatially and angularly resolved reflectance measurements (SAR-DRM)
• Computer vision in chemical kinetics
• Studying Conformational Changes and Agglomeration in Biopharmaceuticals Using Spectroscopic imaging in Microfluidics
• On-Column Monitoring of protein purification by spectroscopy techniques
• Quantitative Analysis of Chiral Media
• Analysis of Spray Flame Nanoparticles Synthesis

Chemometrics and Statistics

• Discriminative Principal Component Analysis for High Dimensional Classification with Applications in NIR Spectroscopy
• Nonlinear Multiple Regression Methods for Spectroscopic Analysis: Application to NIR Calibration​
• Quantitative Analysis Theories Based Molecular Probe Technique
• Multivariate Statistical Process Monitoring using Classical Multidimensional Scaling
• Automated modelling and updating of models to adjust for changes in raw materials and/or product specification

​Process Optimisation

• Artificial intelligence powered framework for online production scheduling
• Increased productivity in manufacturing through machine learning based predictive maintenance
• Modelling and optimisation of post-combustion carbon capture process integrated with coal-fired power plant using computational intelligence techniques
• Process Regime Classification and Modelling of a Sequencing Batch Reactor for Producing Polyhydroxybutyrate with Mixed Culture Using Neural Networks
• Modelling and Multi-Objective Optimisation of a Crude Oil Hydrotreating Process using Bootstrap Aggregated Neural Networks
• Combined mathematical and experimental platform for the design and optimization of metabolically balanced nutrient supplementation strategies in semi-continuous mammalian cell cultures
• Combined mathematical and experimental investigation of multiphase flow, nutrient transport and mammalian cell metabolism in continuous bioreactors

​Modelling and Control

• Developing digital manufacturing technologies for industrial bioprocess modelling and optimisation
• Inferential Active Disturbance Rejection Control of Distillation Columns 
• Fault Tolerant Control System Design for Distillation Processes
• Machine Learning (ML) - based model and control of a chemical process