Dr Kuang's (匡世波) research interests centre around computational process engineering. It aims to achieve fundamental elucidation, theory and method establishment, and process optimization for industrial processes dominated by particle-fluid flows. Both physical-based models and data-driven (AI) models are thus developed and applied. The former include multi-scale and multi-physics methods such as LBM, DEM, LBM-DEM, unresolved CFD (RANS, LES, DNS)-DEM, resolved CFD-DEM, TFM, VOF and etc. The research topics cover particle transportation (e.g. in pneumatic/hydraulic conveying, microchannel, hydraulic fracture of shale gas [proppant placement], non-Newtonian fluid system), particle separation (e.g. by sand screen, hydrocyclone, gas cyclone, dense medium cyclone, in-line pressure jig, microchannel, nanofiltration device [water purification]), multi-phase reacting flows (e.g. in metallurgical reactors for production of iron, steel, aluminum).