Research at ASCLab

Mathematical frameworks, state-of-the-art algorithms at the intersection of astrodynamics, control theory, estimation theory and numerical optimization to advance capabilities in cislunar and deep space.

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Current Research

Concurrent threads spanning SDA design, trajectory optimization, maneuver detection, ML guidance, and sensor fusion.

Cislunar SDA · Observer Network Design

Sensor-Exclusion Informed, Information-Theoretic Design of Lunar Surface Observer Network for Selenocentric Tracking

Submodular D-optimality optimization of lunar surface sensor placements for robust cislunar RSO custody. Integrates terrain-aware bright-body exclusion with IEKF-based FIM tracking over full RSO catalogs using GSDE framework for near-real-time placement.

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Adversarial SDA · Constellation Survivability

Characterizing Adversarial Attrition Rate for Cislunar Observer Constellations Across Periodic Orbit Families

Quantifies how quickly a hostile actor can degrade a cislunar SDA constellation's tracking coverage through targeted removal or denial of individual observer nodes, across L1/L2 Halo, NRHO, and DRO families. Establishes attrition-rate metrics for resilient constellation design under adversarial threat models.

Trajectory Design · Probabilistic Reachability

Surrogate-Based Probabilistic Reachability Level-Sets for Time-Constrained Continuous-Thrust Transfers

GP surrogates with ARD kernels over the optimal cost landscape for low-thrust transfers across NHL/SHL orbit families. Probabilistic reachability level-sets quantify achievable destinations under navigation error without repeated TPBVP solves. Manifold-seeded initialization.

3D Rendering · Traditional Computer Vision

Fast Multi-View Stereo via Sparse Plane Initialization and Iterative Refinement

Computationally efficient multi-view stereo pipeline for resource-constrained onboard planetary lander systems. Sparse plane hypotheses seed dense depth recovery via iterative photometric consistency refinement, enabling high-fidelity 3D terrain reconstruction under tight latency budgets.

Astrodynamics · Invariant Tori · CR3BP

Optimal Transport Architectures for Geometry Reconfiguration through Rephasing on Invariant Tori in CR3BP

Expand reachability framework to leverage quasi-periodic invariant structures seeded from periodic orbits in the CR3BP. Develop cost functions that define novel and relevant metrics and compare solutions in torus and phase spaces.

AFOSR Year-1 Review: RCAT-CS

Title slide: RCAT-CS Year-1 Technical Review
AFOSR · Arlington, VA · October 2026

RCAT-CS: Reconfigurable Constellations for Adaptive Tracking in Cislunar Space

Year-1 technical review (September 2025 to September 2026) presented by Dr. Singh at the AFOSR Physics of Sensing and Astrodynamics Program Review. The slides cover constellation design and optimization with estimator-in-the-loop architecture search over periodic orbit families, maneuver identification through modal innovation analysis, Year-2 efforts on adversarial attrition, reachability maps and lunar surface sensor networks, and publications and student involvement.

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Archived Research

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