Kulliyyah of Engineering · IIUM
Assistant Professor · CFD · MHD · Rotating Equipment
Researching fluid dynamics from supersonic jets to magnetohydrodynamic duct flows — then bridging simulation and hardware through mechanical automation and IoT condition monitoring, with excursions into flow stability and wake-induced vibration energy harvesting.
Get to Know Me
Dr. Mohd Azan Bin Mohammed Sapardi is an Assistant Professor at the Kulliyyah of Engineering, International Islamic University Malaysia (IIUM). He holds a Ph.D. in Engineering from Monash University, Melbourne, specializing in computational fluid dynamics and flow stability. His research spans supersonic jet flows, magnetohydrodynamic (MHD) duct flows, wake-induced vibration energy harvesting, and passive flow control strategies. He actively supervises PhD and Master's students and has led multiple research projects funded by national grants.
But his engineering story began in mechatronics — and lately it has come full circle. Alongside the fluid dynamics, Dr. Azan is now exploring mechanical automation and IoT-based condition monitoring: arming machines with networked sensors that stream live vibration, temperature, and pressure data, flag faults before they turn into breakdowns, and turn ordinary equipment into smart, self-reporting systems. Where his simulations predict how a machine should behave, the sensors reveal how it actually does — the same engineering, now instrumented, connected, and watched in real time.
Ph.D in Engineering
Monash University, Melbourne
Master of Engineering
University of Malaya (UM)
Bachelor of Engineering (Mechatronics)
International Islamic University Malaysia (IIUM)
What I Work On
High-fidelity numerical simulations of complex fluid flow phenomena using advanced CFD methods.
Experimental and computational studies of jet behaviour, Mach estimation, and multi-jet interactions.
MHD duct flows, flow stability in strong magnetic fields, and cylinder wake structures.
Linear stability analysis of confined flows around sharp bends and complex geometries.
Harnessing vortex-induced vibrations for sustainable piezoelectric energy generation.
Base pressure control, cavity-based methods, and D-shaped rib configurations at supersonic speeds.
Instrumenting machines with networked sensors for real-time condition monitoring, predictive maintenance, and smart automation.