Shahrouz Ryan Alimo

According to our database, Shahrouz Ryan Alimo authored at least 19 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Anomaly detection for data accountability of Mars telemetry data.

Dounia Lakhmiri, Ryan Alimo, Sébastien Le Digabel

Expert Syst. Appl., 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

Automating Antenna Scheduling Problems Using Quantum Computing and Deep Reinforcement Learning.

Brian Wilson, Edwin Goh, Alex Guillaume, Ryan Alimo, Thomas Claudet, Hamsa Shwetha Venkataram

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

MaRF: Representing Mars as Neural Radiance Fields.

Lorenzo Giusti, Josue Garcia, Steven Cozine, Darrick Suen, Christina Nguyen, Ryan Alimo

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

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

AI Agents in Emergency Response Applications.

Aryan Naim, Ryan Alimo, Jay Braun

CoRR, 2021

Deep Space Network Scheduling via Mixed-Integer Linear Programming.

Alex Sabol, Ryan Alimo, Farhad Kamangar, Ramtin Madani

IEEE Access, 2021

Sequential Convex Programming Revisited.

Mohsen Kheirandishfard, Fariba Zohrizadeh, Shahrouz Ryan Alimo, Farhad Kamangar, Ramtin Madani

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Delaunay-based derivative-free optimization via global surrogates. Part III: nonconvex constraints.

Ryan Alimo, Pooriya Beyhaghi, Thomas R. Bewley

J. Glob. Optim., 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

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

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

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

Scheduling Mission Reconfiguration for an Interferometry Synthetic Aperture Radar Using Deep Reinforcement Learning.

Antoni Viros i Martin, Daniel Selva, Ryan Alimo

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models.

Erdem Biyik, Jonathan Margoliash, Shahrouz Ryan Alimo, Dorsa Sadigh

Proceedings of the 2019 American Control Conference, 2019

2018

An active subspace method for accelerating convergence in Delaunay-based optimization via dimension reduction.

Muhan Zhao, Shahrouz Ryan Alimo, Thomas R. Bewley

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Efficient New Approaches for Data-Driven Global Optimization, with Applications in Computer-Aided Design

Shahrouz Ryan Alimo

PhD thesis, 2017

Optimization combining derivative-free global exploration with derivative-based local refinement.

Shahrouz Ryan Alimo, Pooriya Beyhaghi, Thomas R. Bewley

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017