Optimization combining derivative-free global exploration with derivative-based local refinement. - Shahrouz Ryan Alimo; Pooriya Beyhaghi; Thomas R. Bewley (CDC, 2017)

Efficient New Approaches for Data-Driven Global Optimization, with Applications in Computer-Aided Design - Shahrouz Ryan Alimo (2017)

An active subspace method for accelerating convergence in Delaunay-based optimization via dimension reduction. - Muhan Zhao; Shahrouz Ryan Alimo; Thomas R. Bewley (CDC, 2018)

Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models. - Erdem Biyik; Jonathan Margoliash; Shahrouz Ryan Alimo; Dorsa Sadigh (ACC, 2019)

Delaunay-based Derivative-free Optimization via Global Surrogates with Safe and Exact Function Evaluations. - Muhan Zhao; Shahrouz Ryan Alimo; Pooriya Beyhaghi; Thomas R. Bewley (CDC, 2019)

Scheduling Mission Reconfiguration for an Interferometry Synthetic Aperture Radar Using Deep Reinforcement Learning. - Antoni Viros i Martin; Daniel Selva; Ryan Alimo (IGARSS, 2020)

A derivative-free optimization algorithm for the efficient minimization of functions obtained via statistical averaging. - Pooriya Beyhaghi; Ryan Alimo; Thomas Bewley (Comput. Optim. Appl., 2020)

Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks. - Shubham D. Sonawani; Ryan Alimo; Renaud Detry; Daniel Jeong; Andrew Hess; Heni Ben Amor (CoRR, 2020)

Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system. - Dounia Lakhmiri; Ryan Alimo; Sébastien Le Digabel (CoRR, 2020)

Multi-Agent Motion Planning using Deep Learning for Space Applications. - Kyongsik Yun; Changrak Choi; Ryan Alimo; Anthony Davis; Linda Forster; Amir Rahmani; Muhammad Adil; Ramtin Madani (CoRR, 2020)

Delaunay-based derivative-free optimization via global surrogates. Part III: nonconvex constraints. - Ryan Alimo; Pooriya Beyhaghi; Thomas R. Bewley (J. Glob. Optim., 2020)

Sequential Convex Programming Revisited. - Mohsen Kheirandishfard; Fariba Zohrizadeh; Shahrouz Ryan Alimo; Farhad Kamangar; Ramtin Madani (CDC, 2021)

Deep Space Network Scheduling via Mixed-Integer Linear Programming. - Alex Sabol; Ryan Alimo; Farhad Kamangar; Ramtin Madani (IEEE Access, 2021)

AI Agents in Emergency Response Applications. - Aryan Naim; Ryan Alimo; Jay Braun (CoRR, 2021)

Design of IMEXRK time integration schemes via Delaunay-based derivative-free optimization with nonconvex constraints and grid-based acceleration. - Ryan Alimo; Daniele Cavaglieri; Pooriya Beyhaghi; Thomas R. Bewley (J. Glob. Optim., 2021)

MaRF: Representing Mars as Neural Radiance Fields. - Lorenzo Giusti; Josue Garcia; Steven Cozine; Darrick Suen; Christina Nguyen; Ryan Alimo (ECCV Workshops (1), 2022)

Automating Antenna Scheduling Problems Using Quantum Computing and Deep Reinforcement Learning. - Brian Wilson; Edwin Goh; Alex Guillaume; Ryan Alimo; Thomas Claudet; Hamsa Shwetha Venkataram (IGARSS, 2022)

Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming. - Thomas Claudet; Ryan Alimo; Edwin Goh; Mark D. Johnston; Ramtin Madani; Brian Wilson (IEEE Access, 2022)

Anomaly detection for data accountability of Mars telemetry data. - Dounia Lakhmiri; Ryan Alimo; Sébastien Le Digabel (Expert Syst. Appl., 2022)

An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments. - Ali Agha; Kyohei Otsu; Benjamin Morrell; David D. Fan; Sung-Kyun Kim; Muhammad Fadhil Ginting; Xianmei Lei; Jeffrey A. Edlund; Seyed Abolfazl Fakoorian; Amanda Bouman; Fernando Chavez; Taeyeon Kim; et al. (CoRR, 2025)