Shahrouz Ryan Alimo

Orcid: 0000-0001-7957-6755

According to our database1, Shahrouz Ryan Alimo authored at least 19 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Anomaly detection for data accountability of Mars telemetry data.
Expert Syst. Appl., 2022

Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming.
IEEE Access, 2022

Automating Antenna Scheduling Problems Using Quantum Computing and Deep Reinforcement Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

MaRF: Representing Mars as Neural Radiance Fields.
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.
J. Glob. Optim., 2021

AI Agents in Emergency Response Applications.
CoRR, 2021

Deep Space Network Scheduling via Mixed-Integer Linear Programming.
IEEE Access, 2021

Sequential Convex Programming Revisited.
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.
J. Glob. Optim., 2020

Multi-Agent Motion Planning using Deep Learning for Space Applications.
CoRR, 2020

Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system.
CoRR, 2020

Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks.
CoRR, 2020

A derivative-free optimization algorithm for the efficient minimization of functions obtained via statistical averaging.
Comput. Optim. Appl., 2020

Scheduling Mission Reconfiguration for an Interferometry Synthetic Aperture Radar Using Deep Reinforcement Learning.
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.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models.
Proceedings of the 2019 American Control Conference, 2019

2018
An active subspace method for accelerating convergence in Delaunay-based optimization via dimension reduction.
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
PhD thesis, 2017

Optimization combining derivative-free global exploration with derivative-based local refinement.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017


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