Samuel B Douglass Email & Phone Number

Reno, NV, US

Special projects, robotics, R&D

Reno, Nevada, United States

• Developed data-based predictive models of aerodynamics drag on a Cessna 208 Caravan using a Physics Informed Neural Network (PINN) as part of the investigation into electrifying a FAA Part 121 operator’s fleet.
• Preformed CFD analysis of novel placements of vertical axis wind turbines using OpenFOAM (transient modeling, arbitrary mesh interface, dynamic mesh refinement).
• Developed an autopilot for semi-autonomous helicopter including PID control, model reference (MRC) and adaptive control. Developed and executed flight test cards at the Nevada Test Site to prove durability.
• Designed EO/IR camera array for a NASA high altitude aircraft including design for near-space conditions.
• Led the successful FAA approval of a nation-wide commercial UAS operation, per 49 U.S.C. § 44807. Developed safety risk management program (per FAA Order 8040.4C), operational procedures, and pilot training program.
• Developed and commercialized an IoT-based smart manufacturing SaaS - traxs.io. (Azure, React / Next.js, Python)

• Developed novel techniques for reduced order modeling of fluid-structure interaction using a network-based framework. Investigation included using modern data-analysis techniques such as Spectral Analysis, Singular.
• Developed a network-theoretic framework to quantify the interaction strengths between dissimilar physical systems using multi-layer networks. Published findings in the Journal of Theoretical and Computational Fluid.
• Developed high performance software using FORTRAN and Julia for CFD analysis and validation.
• Created intuitive data visualizations of complex highly transient systems and network-representation of physical systems.
• Analyzed organic odor plume behavior using Direct Numerical Simulation (DNS) and passive scalar transport modeling.

Reno, Nevada, United States

• Designed a large, twin engine, high endurance fixed-wing UAS. Systems integration including design of multiple failover systems. Created Python-based performance and stability, and composite structure analysis tools.
• Performed Computational Fluid Dynamics (RANS) analysis to identify separation bubbles, areas of high drag, and optimal turbulator placement. Used Vortex Lattice Method (VLM) techniques for aerodynamic performance and.
• Designed composite airframes and mold tooling using SolidWorks to minimize labor costs while managing a highly optimized weight budget. Developed structural testing plans in accordance with ASTM requirements.

• Led a team of four and redeveloped an ineffective MRP system by utilizing predictive data models developed by the team. This effort directly led to best-in-industry lead times and a facility-wide 16.5% cost reduction.
• Developed data models for capacity analysis, manufarutinrg KPI management, and just-in-time inventory optimization. Created interactive dashboards using Python to provide concise information for multiple business teams.
• Analyzed Salesforce data to detect component failure trends, directly leading to 3 major product improvements.

• Redeveloped the business unit’s product line as part of an integrated product team to fit a new market segment and a different business model. Created the Torchmate 4400, 4800, and 5100. Structural design focused on.
• Developed, implemented, and managed engineering change management program.

• Investigated mountain wave phenomena and used NOAA sounding data to create custom ANSYS Fluent boundary conditions.
• Analyzed modifications to the trailing edge of the Delft DU97 airfoil using ANSYS Fluent and the Spalart-Allmaras turbulence model.

• Worked with the company’s leadership team on selection of aircraft performance and design-space targets to ensure compliance with light sport aircraft requirements and regulations under ASTM F37.