Austin Lu Email & Phone Number

North Kingstown, Rhode Island, United States

• Developed PSSA deliverables for perceptions and structures systems following ARP 4761A to drive severity mitigation design• Generated craft, system, and equipment level requirements for perception systems following DO-178C standards and wing-in-ground effect vehicle regulations• Automated components of FHA review using Python scripting and Jama REST API to reduce review time by 50%• Conducted STPA on interactions between crew and perceptions system to identify additional requirements

West Lafayette, Indiana, United States

Awards: Purdue Innovates Back and Gold Grand Prize ($100,000), Purdue New Venture Challenge Grand Prize ($40,000)Patents: Methods and Systems for Power Grid Optimization for Charging Systems of Electric Aircraft• Simulated power demand requirements for UAM vertiports with agent-based modeling in Python Mesa• Modeled digital twin of vertiport interactions with eVTOLs using OCPP to optimize reliance on local energy grid• Developed vehicle flight performance test procedures in Jupyter to validate fleet and energy distribution controllers within 1 minute of accuracy• Implemented agnostic dates and times for variable time simulations using Python pandas to reduce memory usagehttps://www.purdue.edu/newsroom/releases/2023/Q3/purdue-innovates-startup-foundry-awards-200,000-in-equity-investment-to-aerovy-mobility-and-uniform-sierra-aerospace.html

West Lafayette, Indiana, United States

• Automated data acquisition from capillary rheometer using MATLAB scripting to process rheology quantities 25% faster than equipment software• Characterized tensile properties of additively manufactured propellent with Universal Test Machine to understand effects of embedded reactive wire orientation• Designed hand tools using rapid prototyping to shorten powder fill time in filament extruder by 80% • Synthesized energetic material pellets using solvent based casting to stabilize filament extrusion processPurdue Zucrow Propulsion LaboratoriesPI: Professor Steven Son, Professor Jeffrey Rhoads

West Lafayette, Indiana, United States

• Managed group development of engine corrosion data visualizations with Python data science libraries to help users identify engine health monitoring insights • Automated data collection and cleaned data to be prepared for integration into SQL database, expediting data access for peers• Consolidated multiple corrosive factors into single index value using weighted matrix to determine corrosivity of engine flight trajectory

Master Of Science - Ms, Aerospace, Aeronautical And Astronautical Engineering, 3.78/4.00

Specialized in Systems Design with research in system of systems modeling

Bachelor Of Science - Bs, Aerospace, Aeronautical And Astronautical Engineering

GPA: 3.83/4.00 US Citizen Specialization in Aerodynamics and Systems Design