Samuel Boyle
Om
You are welcome to contact me :)
What do I do?
PhD candidate as part of the SmallSatLab for onboard real-time processing on satellites and drones, involving FPGAs, GPUs, Embedded Systems, Operating Systems and their place in a system together with working as a team uses to manage their development
Knowledge:
VHDL, HLS (High-level-synthesis), System verilog, Software, Embedded Linux
Assisting Duties:
Design of Digital Systems 2 - Spring 2024
Design of Digital Systems 1 - Autumn 2023
Other responsibilities
May be known to occasionaly co-supervise some master students
Publikasjoner
2023
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Boyle, Samuel;
Gundersen, Aksel Lindbæk;
Orlandic, Milica.
(2023)
High-level FPGA Design of Deep Learning Hyperspectral Anomaly Detection.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
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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
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
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
Vitenskapelig artikkel
Del av bok/rapport
-
Boyle, Samuel;
Gundersen, Aksel Lindbæk;
Orlandic, Milica.
(2023)
High-level FPGA Design of Deep Learning Hyperspectral Anomaly Detection.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Formidling
2023
-
Vitenskapelig foredragGundersen, 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