Tyler A. Presser

PhD Student at USC,
Dept. of Astronautical Engineering.

Associate Astrodynamics and Machine Learning Engineer,
Advanced Space.

Research: The goal of my work is to develop tools that allow space mission designers working in multibody dynamics to design feasible initial trajectories in real time. I am currently focused on using generative neural networks, specifically diffusion models, to hot-start traditional trajectory optimization tools. My research advisor is Dr. Dan Erwin, and our research is graciously funded through a fellowship from Advanced Space LLC. I also work part-time as an Associate Astrodynamics and Machine Learning Engineer at Advanced Space.

Previously Previously, I received my joint B.S. and M.S. in Astronautical Engineering from USC Viterbi in 2021. My previous research at the USC Space Engineering Research Center focused on applying genetic algorithms for safe spacecraft swarm operations. Our patent can be found here. My past internships were as a Space Systems Engineering intern at Northrop Grumman and a Technology Scout and Analyst at the Starburst Aerospace Accelerator.

news

Dec 22, 2023	If you’re interested in applying generative networks for spacecraft mission design, reach out!

selected publications

IAC

Neural Networks for Onboard Maneuver Design

Nathan Parrish Ré, Timothy M. Sullivan, Matthew D. Popplewell, and 4 more authors

2022

73rd International Astronautical Congress (IAC), Paris, FR

Bib

@misc{iac,
  title = {Neural Networks for Onboard Maneuver Design},
  author = {Ré, Nathan Parrish and Sullivan, Timothy M. and Popplewell, Matthew D. and Roerig, Kirk S. and Clayton, Michael and Hanf, Tyler and Presser, Tyler},
  year = {2022},
  note = {73rd International Astronautical Congress (IAC), Paris, FR},
}