Andrew Ning

Andrew Ning is a Professor in the Department of Mechanical Engineering at Brigham Young University, with a joint appointment at the National Renewable Energy Laboratory. He leads the FLOW Lab, focusing on optimization, deep learning, and aerodynamic simulation methods for wind energy systems and aircraft design.

• Education
  • PhD & MS in Aeronautics and Astronautics from Stanford University
  • BS in Applied Physics from Brigham Young University

His research spans optimization, aerodynamics, and machine learning, addressing challenges in wind farm layout, aerostructural design, and urban air mobility vehicle analysis. The FLOW Lab develops advanced computational tools including vortex particle methods, beam theory implementations, and meshless simulation techniques.

Recent publications demonstrate expertise in gradient-based optimization, unsteady potential flow, and multirotor aerodynamics. Key application areas include electric propulsion, solar aircraft, and floating offshore wind turbines. His work integrates high-fidelity modeling with computational efficiency through novel algorithm development.

Office hours for Winter 2025: Mondays 3:30-4:00pm, Tuesdays 4:00-5:00pm, Wednesdays 11:00am-12:00pm, and Thursdays 1:00-2:00pm.