Archived Research
Completed projects that established the core methodological foundations of ASCLab's research programme.
Prior Work
Completed Projects
Cislunar SDA · M.S. Thesis 2026
Joseph Mergen, Sandeep Singh. M.S. Thesis, now open access. Develops intuition and quantitative metrics relating observer constellation geometry to RSO trackability. Multi-fidelity bridge from CR3BP analytical tools to full-ephemeris propagation.
ML Guidance · AAS 25-524 · Boston 2025
Autonomous Low-Thrust Guidance by Embedding Navigation-Error Awareness in Deep-Learning Model Training
Scott Blender, Sandeep Singh. Hybrid gradient-boosting + temporal convolutional network architecture trained with navigation-error-augmented state distributions. Presented at the 2025 AAS/AIAA Astrodynamics Specialist Conference, Boston, MA.
SDA · Maneuver Detection · AAS 25-774
Kevin Alvarado, Hadley Earl, Sandeep Singh. POD/EDMD modal decomposition of CR3BP trajectories for RSO maneuver detection via innovation analysis in reduced modal subspace. Presented at 2025 AAS/AIAA Astrodynamics Specialist Conference, Boston, MA.
SDA · Constellation Design
Calvin Chan, Sandeep Singh. Information-theoretic constellation sizing and placement for persistent custody retention of RSOs in cislunar orbit families.
Dynamical Systems · Spherical Harmonics
Alex Diehl, Sandeep Singh. Effects of lunar zonal harmonics on Hill three-body periodic orbit families and low-thrust trajectory design.
Trajectory Design · Cislunar Manifolds
Angelina Shayda, Sandeep Singh. Exploits near-heteroclinic connections between L1 and L2 periodic orbit manifolds for efficient bi-impulsive cislunar transfers.
Low-Thrust · Aerospace MDPI 2025
Kevin Alvarado, Sandeep Singh. Parametrically constrained TPBVP solution for manifold-driven low-thrust tours of L1–L2 periodic orbit families in cislunar space.
TRN · Nature Scientific Reports 2024
Ickbum Kim, Sandeep Singh. Probabilistic regression architecture fusing heterogeneous terrain signatures for autonomous TRN at the lunar south pole. Published in Nature Scientific Reports, 2024.
3D Reconstruction · Visual Computer 2025
Ickbum Kim, Sandeep Singh. RANSAC-seeded GP regression for non-parametric point cloud denoising under mixed Gaussian-impulse noise. Published in The Visual Computer, 2025.
Sensor Fusion · ISVC 2023
Ickbum Kim, Sandeep Singh. Bayesian sensor fusion of LiDAR depth priors and stereo photometric consistency for enhanced 3D reconstruction. Presented at ISVC 2023, Lake Tahoe, NV.
ER3BP · Aerospace MDPI 2024
Kevin Alvarado, Sandeep Singh. Station-keeping strategy exploiting homeomorphic orbit segments in the elliptic restricted three-body problem for orbit maintenance. Published in Aerospace, 2024.