Public engineering firm profile
Hard Tech for a Better Future
Moshman Research LLC provides modeling and simulation, optimization, machine learning, and control systems engineering to clients across aerospace, defense, energy, and healthcare. Past performance includes government subcontracts with ARPA-E, Space Force, and the Navy, alongside direct work with industry partners. With over 60 years of collective team experience, it applies advanced computational methods - including ANSYS CFD and custom in-house software - to solve high-complexity engineering problems.
CFD, Fluid-Structure Interaction, and Multi-Physics analysis - using ANSYS CFD Enterprise tool suite with Fluent and custom in-house tools - applied to aerospace components, industrial flow systems, and energy devices.
Adjoint-based gradient-descent and smart parameterization techniques that move beyond parameter sweeps to find better designs directly, with applications in aerospace shape optimization, hydrokinetic turbines, and complex flow systems.
Predictive modeling, time series forecasting, computer vision, natural language processing, recommendation engines, and data visualization - delivering actionable insights across aerospace, energy, healthcare, retail, and financial services.
Distributed, real-time, and nonlinear control system design - including feedback and optimal control architectures - for autonomous platforms, swarm systems, and high-performance engineering applications.
2021 | NASA | Space
In collaboration with Professor Venanzio Cichella at the University of Iowa, Moshman Research developed a control framework for autonomously guiding swarms of satellites for future NASA missions.
View project source2021 | ARPA-E | Hydroelectric
Collaborated with ARPA-E on adjoint-based shape optimization of a hydrokinetic turbine, improving the efficiency of clean energy extraction from flowing water.
View project source2021 | Healthcare
Designed a prototype Covid-19 breathalyzer that focuses exhaled bioaerosols onto a detector chip while diverting larger particles that would add noise to the measurement.
View project source2022 | Space
Built a real-time data visualization tool for a client managing space objects and orbital threats, enabling live situational awareness across a highly complex space environment.
View project source2021 | Aerospace
Extended helicopter noise reduction research to demonstrate that active airfoil control at transonic speeds can produce positive lift, opening a path to greater aerodynamic efficiency.
View project sourceFounder
PhD
Nathan Moshman, PhD is passionate about problem solving. Whether it flies in the air, moves in water, travels at the speed of light or goes boom, he loves modeling the physics, implementing a solution in software and optimizing the system.
No public values listed.