Myles Baker - Aerodynamics/Chief Engineer

Myles Baker – Aerodynamics/Chief Engineer

Ph.D. in Mechanical Engineering, University of California, Los Angeles (UCLA).

Dr. Myles Baker has worked inside and outside major aerospace corporations on numerous flight vehicles ranging from commercial transports to UAVs to hypersonic vehicles. Some of the relevant vehicles include the 787, 777, 737, 747, A320, A330, A340, A380, F-35, X-47B, X-37, X-47, C-17, and numerous proprietary development programs. He has also been principal investigator on over 20 programs for USAF, NASA, US Army, and US Navy customers. He has an extensive background in vehicle analysis, configuration optimization, structural analysis and optimization, and aeroelasticity. He is the founder of several companies in the aerospace and clean energy industries, and holds numerous highly regarded structural design patents.

Dr. Baker began his career at Boeing, developing multidisciplinary flight loads analysis software for the Aeroelastic Design Optimization Program (ADOP), and was one of the main process architects for the aeroelasticity and structural optimization processes used on the next generation of commercial and military airplanes. Dr. Baker is a member of the Aerospace Flutter and Dynamics Council, an Associate Fellow of the AIAA, and was responsible for the Design and Analysis Track of the 2003 SAMPE conference in Long Beach. He is recipient of AIAA’s 2003 Lawrence Sperry Award, which is given to an outstanding young professional who has made an exceptional contribution to the aerospace profession. He also is an occasional lecturer at UCLA and UCI in the fields of aircraft design, aircraft structures, and structural dynamics.

Selected Publications

Improved Computation of Balancing Transformations for Aeroservoelastic Models.

Bio-Inspired Armor Protective Material Systems for Ballistic Shock Mitigation.

Analytic and Computational Micromechanics of Clustering and Interphase Effects of Nanotube Composites

Efficient Creation of Aeroservoelastic Models Using Interpolated Aerodynamics Models

Development of an Efficient Uncertainty Quantification Framework Applied to an Integrated Spacecraft System.

Efficient Uncertainty Quantification in Multidisciplinary Analysis of a Reusable Launch Vehicle.

Estimation of Unsteady Loading for Sting Mounted Wind Tunnel Models.

Efficient Simulation of Structural Dynamic Systems with Discrete Nonlinearities.

Balancing High Fidelity MDAO with Robust System Design.

High Fidelity Multidisciplinary Optimization (HFMDO)

Active Aeroelastic Control of the Supersonic Semispan Transport (S4T) Model.