Samuel Boyle
About
What do I do?
PhD candidate as part of the SmallSatLab for onboard real-time processing on satellites and drones.
Knowledge:
HDL, High-Level-Synthesis, System Verilog, Software, Embedded Linux, Algorithms and Machine Learning
Teaching Duties:
Design of Digital Systems 2 - Spring 2025
Design of Digital Systems 1 - Autumn 2024
Design of Digital Systems 2 - Spring 2024
Design of Digital Systems 1 - Autumn 2023
Other responsibilities
Co-supervision of projects in Smallsat Lab for Onboard Processing, FPGA Accelerators, Algorithms and Machine Learning including compression and remote sensing, Processing Payload Development.
You are welcome to contact me :)
Publications
2025
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Boyle, Samuel;
Mikulowski, Piotr;
Orlandic, Milica.
(2025)
Onboard Accelerator of Hyperspectral Classification For HYPSO.
Mediterranean Conference on Embedded Computing (MECO)
Academic article
2024
-
Boyle, Samuel.
(2024)
Flexible Inference of Arbitrary Precision Neural Network Accelerator for Cloud Detection.
Academic chapter/article/Conference paper
-
Vorhaug, Daniel;
Boyle, Samuel;
Orlandic, Milica.
(2024)
High-Level CCSDS 123.0-B-2 Hyperspectral Image Compressor Verification Model.
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Academic article
2023
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Gundersen, Aksel Lindbæk;
Boyle, Samuel James;
Orlandic, Milica.
(2023)
An Improved Adaptive Weighted Deep Belief Network Autoencoder for Hyperspectral Images.
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Academic article
-
Boyle, Samuel;
Gundersen, Aksel Lindbæk;
Orlandic, Milica.
(2023)
High-level FPGA Design of Deep Learning Hyperspectral Anomaly Detection.
Academic chapter/article/Conference paper
Journal publications
-
Boyle, Samuel;
Mikulowski, Piotr;
Orlandic, Milica.
(2025)
Onboard Accelerator of Hyperspectral Classification For HYPSO.
Mediterranean Conference on Embedded Computing (MECO)
Academic article
-
Vorhaug, Daniel;
Boyle, Samuel;
Orlandic, Milica.
(2024)
High-Level CCSDS 123.0-B-2 Hyperspectral Image Compressor Verification Model.
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Academic article
-
Gundersen, Aksel Lindbæk;
Boyle, Samuel James;
Orlandic, Milica.
(2023)
An Improved Adaptive Weighted Deep Belief Network Autoencoder for Hyperspectral Images.
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Academic article
Part of book/report
-
Boyle, Samuel.
(2024)
Flexible Inference of Arbitrary Precision Neural Network Accelerator for Cloud Detection.
Academic chapter/article/Conference paper
-
Boyle, Samuel;
Gundersen, Aksel Lindbæk;
Orlandic, Milica.
(2023)
High-level FPGA Design of Deep Learning Hyperspectral Anomaly Detection.
Academic chapter/article/Conference paper
Outreach
2024
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PosterChiatante, Corrado; Boyle, Samuel; Døsvik, Kristine; Birkeland, Roger; Orlandic, Milica. (2024) A Design Space Exploration of onboard processing pipeline for Hyperspectral Satellites. Workshop on Model-Based Space Systems and Software Engineering (MBSE2024) , Bremen 2024-05-28 - 2024-05-29
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Academic lectureVorhaug, Daniel; Boyle, Samuel; Orlandic, Milica. (2024) High-Level CCSDS 123.0-B-2 Hyperspectral Image Compressor Verification Model. 14th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing , Helsinki 2024-12-09 - 2024-12-11
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Academic lectureVorhaug, Daniel; Boyle, Samuel; Eine, Simen; Orlandic, Milica. (2024) Development and Integration of CCSDS 123.0-B-2 FPGA Accelerator for HYPSO-1. OBPDC 2024 - 9th International Workshop on On-Board Payload Data Compression , Gran Canaria 2024-10-02 - 2024-10-04
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LectureBoyle, Samuel. (2024) Flexible Inference of Arbitrary Precision Neural Network Accelerator for Cloud Detection. 75th International Astronautical Congress , Milan 2024-10-14 - 2024-10-18
2023
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Academic lectureGundersen, Aksel Lindbæk; Boyle, Samuel; Orlandic, Milica. (2023) An Improved Adaptive Weighted Deep Belief Network Autoencoder for Hyperspectral Images. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing 2023 2023-10-31 - 2023-11-02
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Academic lectureBoyle, Samuel; Gundersen, Aksel Lindbæk; Orlandic, Milica. (2023) High-level FPGA Design of Deep Learning Hyperspectral Anomaly Detection. IEEE Nordic Circuits and Systems Conference (NorCAS) , Aalborg, Denmark 2023-10-30 - 2023-11-01