I explore nature-inspired propeller geometries to enhance aerodynamic efficiency and reduce noise generation in small UAVs.
Focus areas:
High-fidelity CFD simulations (URANS, DDES, FW-H)
Wind-tunnel validation and flow visualization
Psychoacoustic evaluation of noise perception
👉 Highlight: Demonstrated how leading-edge and trailing-edge modifications influence tonal noise and vortex behavior.
My research investigates how flow structures generate and propagate sound. I aim to develop quieter and more efficient aerial vehicles.
Topics:
Numerical aeroacoustics (CFD-CAA coupling)
Tonal and broadband noise analysis
Psychoacoustic comfort metrics
I study flow transition, turbulent-spot formation, and passive control mechanisms to achieve drag reduction and improved flow stability.
Current direction: integrating machine-learning-based control and reduced-order modeling to predict and mitigate turbulent growth.
Earlier research explored unsteady crosswind effects on high-speed trains, combining CFD and aerodynamic comfort analysis.
I apply CFD and flow-structure modeling to clean-energy systems.
Floating wind turbine aerodynamics
Thermal and multiphase analysis for energy devices
Vision: enabling efficient, sustainable propulsion and energy solutions.
Founder and mentor of the CFD Community @ UTHM, a student-led initiative that supports learning and collaboration in computational fluid dynamics.
Weekly training and tutorial
Peer mentoring for undergraduate and postgraduate researchers
ANSYS Fluent • STAR-CCM+ • MATLAB • SolidWorks • Paraview • Psychoacoustic Analysis • Wind Tunnel Testing • Flow Visualization
To bridge fundamental fluid physics with practical engineering applications, advancing aerodynamic design, noise control, and sustainable propulsion technologies.