Nick Delurgio is a graduate student in Mechanical Engineering at Stanford University. Nick previously received his B.S. in Aerospace Engineering from the University of Texas at Austin, where he developed in interest in Guidance, Navigation, and Control (GNC) for Aerospace applications. At Stanford, Nick is pursuing his interest in GNC through autonomous systems research.
Honors & Awards
Magna Cum Laude, University of Texas at Austin (May 2022)
Russell U. Smith Family Endowed Scholarship, Russell U. Smith Family (2020-2021)
William F. McCombs Scholarship in Aerospace Engineering, Cockrell School of Engineering (2019-2020)
Professional Affiliations and Activities
Student Member, American Institute of Aeronautics and Astronautics (2022 - Present)
Education & Certifications
Master of Science, Stanford University, Mechanical Engineering (2024)
Bachelor of Science, University of Texas at Austin, Aerospace Engineering (2022)
- Space Exploration
- Guidance, Navigation, and Control (GNC)
- Trajectory Design
- Sensor Fusion/State Estimation
- Distributed Space Systems
- Convex Optimization
AIAA Student Space Design Competition, University of Texas at Austin (January 2022 - May 2022)
Collaborated with peers from UT Austin on the design of a mission to the moons of Mars - Phobos and Deimos. Personally designed our vehicle's GNC system as well as the mission trajectory and ConOps. Managed the assembly and integration of our vehicle model.
- Adam Nokes, Lecturer, University of Texas at Austin
For More Information:
Space Force Aerospace Technology Gap Assessment, Center for Space Research - University of Texas at Austin (January 2021 - August 2022)
Worked with Dr. Srinivas Bettadpur and Dr. Barbara Craig to research the technology gaps prohibiting the United States Space Force from meeting its objectives. Identified and informed the USSF of research areas of high importance in achieving its goals. Presented our work to Dr. Joel Mozer, Chief Scientist of the USSF.
- Dr. Srinivas Bettadpur, Director, Center for Space Research
- Dr. Barbara Craig, Research Engineer, Center for Space Research
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Spacecraft GNC Intern, Rocket Lab USA (May 2021 - August 2022)
Developed Attitude, Precession, and Nutation controllers for several spacecraft. Created high-fidelity simulations for satellites using Systems Tool Kit (STK), and programmed a Monte Carlo framework used for statistical analysis of spacecraft missions.
Research Assistant, Autonomous Systems Group - University of Texas at Austin (August 2021 - May 2022)
Developed a Convex Model Predictive Control algorithm used by a chaser robot to intercept a moving ground target. Programmed and implemented a PID control algorithms on TurtleBots to assist in stochastic motion planning research.
GNC Principal Engineer, Texas Rocket Engineering Lab - University of Texas at Austin (February 2020 - January 2022)
Collaborated on the development of a liquid bi-propellant launch vehicle aiming to reach 100 km. Programmed the lab’s 6DOF flight simulation which is used for Monte Carlo analysis, HIL testing, and GNC system design. Designed a 3-axis attitude controller for our Fin Actuation Control System, which uses a linear program to optimize actuator allocation. Developed the architecture for the vehicle’s navigation system and state estimation algorithm, and oversaw extensive IMU testing and analysis.