I examine the fundamental mechanisms governing particle-particle and particle-fluid interactions during processing. This includes studying how material properties such as particle size distribution, morphology, and surface characteristics influence bulk powder behaviour. My investigations employ advanced characterization techniques coupled with computational models to predict powder flow, compaction, and granulation outcomes.

Focusing on twin-screw and fluidized bed systems, I develop mathematical frameworks to predict granule growth kinetics, size distribution evolution, and quality attributes. This work involves creating comprehensive process maps that link operating parameters to product properties, enabling manufacturers to achieve desired outcomes through rational process design.

Using Discrete Element Method (DEM) coupled with Computational Fluid Dynamics (CFD), I create high-fidelity digital representations of industrial equipment that can predict particle behaviour at scales ranging from individual particles to entire process lines. These platforms serve as virtual laboratories where process conditions can be optimized without costly physical experimentation.