dSGP4: differentiable SGP4. Supports differentiability, ML integration & embarassingly parallel computations
A machine learning library for spacecraft collision avoidance
A validated modern C++ implementation of the NASA Standard Breakup Model
Code to train and test ThermoNets: a neural, differentiable, model for the thermosphere density.
Conjunction Analysis and Screening with Python
An ontology of space situational awareness.
Autonomous Space Traffic Risk Analyzer
A Python-based computer vision system for detecting and tracking space debris using OpenCV and YOLOv8. This project simulates real-time space debris detection with advanced tracking algorithms, visualization, and comprehensive analytics.
Space debris identification in Python
Every satellite in orbit, live in your browser, and every close approach between them for the next 7 days, screened on one laptop. SGP4 written from scratch in Go, validated against CelesTrak SOCRATES.
Natural/optimal space debris atmospheric reentry simulation
The Orbital Debris Ontology (ODO) is an ontology of the orbital debris domain, containing classes for orbital entities and concepts, such as the types of orbital debris.
Open-source satellite conjunction assessment pipeline — TLE ingest, SGP4 propagation, collision probability (Foster/Chan/Alfano), 3D CesiumJS globe, fleet ops, maneuver planning
Space Debris Network
Real-time 3D orbital visualization platform — track 10,000+ satellites, space debris, launches, and space weather on an interactive globe
DDPG-based robotic trajectory planning for space debris detumbling using eddy currents and a 6-DOF manipulator.
Bechelor's Graduation Thesis - Xi'an Jiaotong University - 2023
A project to simulate the breakup of a heavenly object.
CASCADE: autonomous LEO collision avoidance engine (C++20) with a React mission console. National Space Hackathon 2026.
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