Publications

You can find the most up-to-date list of my articles on my Google Scholar profile.

Preprints


PRISM: Efficient and Locally Optimal Probabilistic Planning with Reachability Guarantees

Alex Rose, Christopher Jewison, and Jonathan P. How

arXiv preprint arXiv:2606.26413, 2026

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Efficient Probabilistic Planning with Maximum-Coverage Distributionally Robust Backward Reachable Trees

Alex Rose, Naman Aggarwal, Christopher Jewison, and Jonathan P. How

arXiv preprint arXiv:2510.04807, 2025

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Peer-Reviewed Publications


GUARDIAN: Safety Filtering for Systems With Perception Models Under Adversarial Attack

Nicholas Rober, Alex Rose, and Jonathan P. How

IEEE Control Systems Letters, 2026

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GRAND-SLAM: Local Optimization for Globally Consistent Large-Scale Multi-Agent Gaussian SLAM

Annika Thomas, Aneesa Sonawalla, Alex Rose, and Jonathan P. How

IEEE Robotics and Automation Letters, 2025

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Robust Sampling-Based Covariance Steering for Aerocapture Guidance

Alex Rose, Christopher Jewison, and Jonathan P. How

AAS/AIAA Astrodynamics Specialist Conference, 2025

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REVISE: Robust Probabilistic Motion Planning in a Gaussian Random Field

Alex Rose, Naman Aggarwal, Christopher Jewison, and Jonathan P. How

2025 American Control Conference (ACC), 2025

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Evaluating Rotation-Equivariant Deep Learning Models for On-Orbit Cloud Segmentation

Alex Meredith

37th Annual Small Satellites Conference, 2023

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Efficient collocation of global navigation satellite system radio occultation soundings with passive nadir microwave soundings

Alex Meredith, Stephen Leroy, Lucy Halperin, and Kerri Cahoy

Atmospheric Measurement Techniques, 2023

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Trajectory-Planning Attitude Control System for Satellites with Magnetic Attitude Control and One Reaction Wheel

Patrick McKeen, Alex Meredith, and Kerri Cahoy

AAS/AIAA Astrodynamics Specialist Conference, 2022

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Machine Learning Image Processing Algorithms Onboard OPS-SAT

Shreeyam Kacker, Alex Meredith, Kerri Cahoy, and Georges Labrèche

36th Annual Small Satellites Conference, 2022

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On-orbit rule-based and deep learning image segmentation strategies

Shreeyam Kacker, Alex Meredith, Joe Kusters, Hannah Tomio, Violet Felt, and Kerri Cahoy

AIAA SCITECH 2022 Forum, 2022

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BeaverCube: Coastal Imaging with VIS/LWIR CubeSats

Paula do Vale Pereira, Madeline Garcia, Madeleine Schroeder, Humberto Caldelas, Charles Lindsay, Alex Choi, Kaila Pfrang, Amelia Gagnon, Alex Meredith, et al., and Kerri Cahoy

34th Annual Small Satellites Conference, 2020

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Theses


Applying Rotation-Equivariant Deep Learning to Cloud and Road Segmentation in Satellite and Aerial Imagery

Alex Meredith

Massachusetts Institute of Technology (Master's Thesis), 2023

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