Summary
Greg Sweriduk is an experienced controls and aerospace engineer with nine years of current consulting practice and a multi-decade track record designing flight vehicle and system control, guidance, and simulation algorithms. He has led research programs as principal/co-investigator on government contracts, delivering nonlinear and optimal controllers for aircraft, missiles, UAS, and turbine systems while integrating MATLAB/Simulink, C, and C++ implementations. His work includes novel contributions such as an Eulerian approach to air traffic flow modeling and development of the FARGO flight-deck automation system to reduce fuel, emissions, and noise. Comfortable across modern, robust, optimal, nonlinear, and classical control methods, he also applies optimization and estimation techniques informed by Stanford coursework in robot autonomy and filtering. Based in Sunnyvale, CA, Greg blends hands-on algorithm development with proposal and technical communication skills, making him effective at translating research into practical aerospace solutions. An understated strength is his long experience as both a technical editor and researcher, sharpening both clarity of thought and technical rigor.
9 years of coding experience
15 years of employment as a software developer
Drexel University
Coursera
UCSC Silicon Valley Extension
ASME eLearning
Georgia Institute of Technology
Estimation and Filtering Principles of Robot Autonomy I & II, Estimation and Filtering Principles of Robot Autonomy I & II at Stanford University