Foad Moslem
- Interdisciplinary researcher with a background in experimental aeroacoustics, bio-inspired propeller design, and aerodynamic noise reduction for unmanned and urban air systems.
- Published author with publications spanning bio-inspired propeller planform testing, deep reinforcement learning for flow control, and insect-flight aerodynamics, with hands-on experience in wind tunnel and anechoic chamber testing, microphone array measurement, and acoustic signal processing.
- Interested in investigating rotor and propeller tonal noise, particularly blade geometry effects and installation-driven interaction noise, to advance experimentally grounded low-noise rotor design for the next generation of aerial transportation.
Aeroacoustics
Aerodynamics
Propeller & Rotor Noise
Bio-Inspired Design
UAM
SKILLS
Computational:Python · Deep & Reinforcement Learning · ANSYS Fluent & ICEM · SIMULIA XFlow · SolidWorks
Experimental:Wind Tunnel & Acoustic Testing · Microphone Array Calibration · LabVIEW · 3D Printing
Interpersonal:Creative · Collaborative research · Technical leadership · Cross-disciplinary communication
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