Aaron Altman

Associate Professor; Director, Graduate Aerospace Program
Full-Time Faculty
School of Engineering: Department of Mechanical and Aerospace Engineering

  • Location: Kettering Laboratories Room 361F
  • Phone: 937-229-5353
  • Email: Contact

Profile

Selected Publications

  • Garnet, Mark, and Aaron Altman. 2009. Identification of any aircraft by its unique turbulent wake signature. Journal of Aircraft 46, no. 1 (January-February): 263-268.
  • Hong, Young sun, and Aaron Altman. 2008. Lift from spanwise flow in simple flapping wings. Journal of Aircraft 45, no. 4 (July-August).
  • Hong, Young sun, and Aaron Altman. 2007. Streamwise vorticity in simple mechanical flapping wings. Journal of Aircraft 44, no. 5 (September-October): 1588-1597.
  • Kang, Hantae, and Aaron Altman. 2007. Generalized empirical airfoil stagnation point location prediction. Journal of Aircraft 44, no. 2 (March-April): 698–701.
  • Kaplan, Sergey, Aaron Altman, and Michael Ol. 2007. Wake vorticity measurements for low aspect ratio wings at low Reynolds number. Journal of Aircraft 44, no. 1 (January-February): 241-251.
  • Altman, A. 2002. A comparative study to identify the propeller-driven HALE UAV configuration with the maximum endurance performance. AIAA 1st Conference and Workshop on Unmanned Aerospace Vehicles, Systems, Technologies and Operations, May, in Portsmouth, Virginia.

Degrees

  • Ph.D., Aeronautical Engineering, Cranfield University, England, 2001
  • M.S., Mechanical Engineering, University of Texas at Austin, 1994
  • B.S., Mechanical Engineering and Applied Mathematics, Tulane University, 1990

Professional Activities

  • American Institute of Aeronautics and Astronautics (Applied Aerodynamics Technical Committee, Local Section Council Member, Associate Fellow, Student Branch Faculty Advisor)
  • American Society for Engineering Education
  • American Society of Mechanical Engineers
  • Association for Unmanned Vehicle Systems International
  • Louisiana State Board of Registered Professional Engineers
  • Pi Tau Sigma
  • Pi Mu Epsilon, National Mathematics Honor Society
  • Subsonic Aerodynamic Testing Association (University of Dayton representative)

Research Interests

  • Experimental Unsteady Low Speed Aerodynamics
  • Experimental Low Reynolds number aerodynamics applied to Micro Air Vehicles (MAVs), Flapping Wing Air Vehicles and Small Unmanned Air Vehicles
  • Experimental Low Reynolds number and Unsteady Low Reynolds number Fluid Mechanics
  • Applied Low Speed Aerodynamics and Testing
  • Unconventional and morphing air vehicle configuration, design, performance and aerodynamics
  • Vertical and Horizontal Axis wind turbine aerodynamics
  • Identification of Aircraft from their turbulent wakes

Media Expertise