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Peng Mun Siew
Peng Mun Siew
Research Scientist, Massachusetts Institute of Technology
Verified email at umn.edu - Homepage
Title
Cited by
Cited by
Year
Atmospheric density uncertainty quantification for satellite conjunction assessment
DJ Gondelach, R Linares, PM Siew
Journal of Guidance, Control, and Dynamics 45 (9), 1760-1768, 2022
172022
Novel Source–Sink Model for Space Environment Evolution with Orbit Capacity Assessment
A D’Ambrosio, S Servadio, PM Siew, R Linares
Journal of Spacecraft and Rockets, 1-15, 2023
92023
Space-based sensor tasking using deep reinforcement learning
PM Siew, D Jang, TG Roberts, R Linares
The Journal of the Astronautical Sciences 69 (6), 1855-1892, 2022
92022
Analysis of the LEO orbital capacity via probabilistic evolutionary model
A D’Ambrosio, S Servadio, PM Siew, D Jang, M Lifson, R Linates
Astrodynamics Specialist Conference, 2022
92022
A deep reinforcement learning application to space-based sensor tasking for space situational awareness
TG Roberts, PM Siew, D Jang, R Linares
Proceedings of the 2021 Advanced Maui Optical and Space Surveillance …, 2021
82021
Optimal tasking of ground-based sensors for space situational awareness using deep reinforcement learning
PM Siew, R Linares
Sensors 22 (20), 7847, 2022
72022
Sensor Tasking for Space Situational Awareness Using Deep Reinforcement Learning
PM Siew, D Jang, R Linares
2021 AAS/AIAA Astrodynamics Specialist Conference, 2021
62021
Simultaneous localization and mapping with moving object tracking in 3d range data using probability hypothesis density (phd) filter
PM Siew, R Linares, V Bageshwar
2018 AIAA Information Systems-AIAA Infotech@ Aerospace, 0507, 2018
62018
Monte Carlo Methods to Model the Evolution of the Low Earth Orbit Population
D Jang, D Gusmini, PM Siew, A D’Ambrosio, S Servadio, P Machuca, ...
33rd AAS/AIAA Space Flight Mechanics Meeting, 2023
52023
Space Situational Awareness Tasking For Narrow Field Of View Sensors: A Deep Reinforcement Learning Approach
D Jang, PM Siew, D Gondelach, R Linares
International Astronautical Congress, 2020
52020
The Effects of Orbit Raising and Decay in Orbital Capacity Models
D Gusmini, A D’Ambrosio, S Servadio, PM Siew, P Di Lizia, R Linares
33rd AAS/AIAA Space Flight Mechanics Meeting, 1-20, 2023
42023
Impact of space weather on space assets and satellite launches
J Briden, N Clark, PM Siew, R Linares, TW Fang
23rd Advanced Maui Optical and Space Surveillance Technologies. Advanced …, 2022
42022
Extended target tracking and shape estimation via random finite sets
PM Siew, R Linares, VL Bageshwar
2019 American Control Conference (ACC), 5346-5351, 2019
42019
Transformer-based Atmospheric Density Forecasting
J Briden, PM Siew, V Rodriguez-Fernandez, R Linares
arXiv preprint arXiv:2310.16912, 2023
22023
Cislunar space situational awareness sensor tasking using deep reinforcement learning agents
PM Siew, D Jang, TG Roberts, R Linares, J Fletcher
2022 Advanced Maui Optical and Space Surveillance Technologies Conference …, 2022
22022
The AEROS mission: multi-spectral ocean science measurement network via small satellite connectivity
C Payne, M Lifson, A Thieu, H Tomio, PM Siew, C Haughwout, A Santos, ...
ASCEND 2021, 4102, 2021
22021
Effects of Orbit Raising and Deorbiting in Source-Sink Evolutionary Models
D Gusmini, A D’Ambrosio, S Servadio, PM Siew, P Di Lizia, R Linares
Journal of Spacecraft and Rockets, 1-14, 2024
12024
Multiple Target Tracking Using Random Finite Sets
PM Siew
University of Minnesota, 2021
12021
Language Models are Spacecraft Operators
V Rodriguez-Fernandez, A Carrasco, J Cheng, E Scharf, PM Siew, ...
arXiv preprint arXiv:2404.00413, 2024
2024
Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions
V Rodriguez-Fernandez, S Sarangerel, PM Siew, P Machuca, D Jang, ...
AIAA SCITECH 2024 Forum, 1673, 2024
2024
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