Students

PhD. students

	Erling Rennemo Jellum
	Đorđije Bošković
	Corrado Chiantante
	Cameron Louis Penne
	Samuel Boyle

MSc. students

2022-2023

Katinka Müller	“Optimized Hyperspectral Anomaly Detectors: Improved Performance and Reduced Computational Complexity”
Helene Markeng	“Exploratory Pipeline for Reconstructing Compressive Sensed Images and Small Cloud Removal using 3D convolutional U-nets”
Brage Gåsø Samsonsen	“Enhanced Graph Autoencoders for Hyperspectral Anomaly Detection”
Jonas Gjendem Røysland	“Real-time classification onboard the HYPSO-1 satellite”
Samuel Boyle	Design Space Exploration of FPGA Accelerators for Hyperspectral Anomaly Detection
Cameron Luis Penne
Øyvind Skaaden	“System Integration of the HYPSO-2 SDR: Enabling Fault-Tolerant Payload Operations and an Efficient Development Environment”
Magnus Ramsfjell	[FPGA Accelerated Convolution Layer Implementation for Semantic Segmentation of Hyperspectral Images]
Besjan Tomja	“Enhancing Versatility and Efficiency of the CCSDS-123 Compression Algorithm through Dynamic Partial Reconfiguration for the HYPSO Mission”
Olivier Raphael Lesage Fongue	Effecient Hardware for Principal Component Analysis of hyperspectral images
Adam Gawlik, ARM
Andrew Glover Martey, Nordic

2021-2022

Simen Netteland	“Exploration and Implementation of Large CNN Models for Image Segmentation in Hyperspectral CubeSat Missions”
Kristine Døsvik	“Design space exploration for hyperspectral image processing pipeline in HYPSO mission”
Kåre-Benjamin Rørvik	“Next generation compression algorithm”
Matias Haugum	“Designing a Flow-Through Particle Imaging System for Autonomous Surface Vehicles”
Simen Berg	“Maximizing Payload Utilization of the HYPSO-1 Satellite”
Torbjørn Bratvold	” Near Real-time Hyperspectral Image Classification for In-orbit Decissionmaking HYPSO-1”

2020-2021

Armin Bahadoran	Deconvolution for hyperspectral images
Aksel Gundersen	Anomaly Detection in Hyperspectral Images
Sondre Tagestad	Image classification using Convolutional Neural Networks
Yunus Emre Koc	Cloud segmentation using AI to reduce data transmission
Gil Cristian Morales	An FPGA Implementation of CCSDS 123 Issue 2 Standard
Maria Jakobs	A down-scaled sensor and control system for water electrolysis
Morten Paulsen	Implementation of Sliding window DFT (sDFT) and comparison with FFT
Elvira Aalerud	Hyperspectral Imaging Toolbox

2019-2020

Jon Alvarez Justo	“Compressive Sensing on Ground-Penetrating Radar” Publications: MECO conference 2020
Christoffer Boothby	“A software implementation of the CCSDS 123Issue 2 compression standard”
Joar Gjersund	“A Reconfigurable Fault-Tolerant OnBoard Processing System For The HYPSO CubeSat”
Mohamed Hassan Ismail	“HW/SW Co-design Implementation of Hyperspectral Image Classification Algorithm” Publication: MDPI Algorithms Award: FPGA forum award 2019
Max Montzka	“Fast Spectrograph Corrections on Programmable Logic”
David Barahona Pereira	“Virtual Prototypes for Embedded Software Testing: A SystemC Based Proof of Concept Implementation” Publication: DVCon Conference 2021 Award: Best Poster Award
Motaz Ibrahim Ahmad Thiab	“Virtual prototype of low-power digital architectures in SystemC” Publication: DVCon Conference 2021 Award: Best Poster Award
Kristina Thue	“Accelerating compact CNN models for image segmentation using Vivado HLS”

2018-2019

Karine Avagian	“An FPGA-oriented Hardware Implementation of Richardson-Lucy Deconvolution Algorithm for Hyperspectral Images” Publications: MECO conference article, MDPI Elecronics
Djordjije Boskovic	“Hardware implementation of a target detection algorithm for hyperspectral images” Publications: MECO conference article, MICPRO article Award: NIFRO award 2020
Andreas Varntresk	“Assembly and testing of baseline processing chain”

2017-2018

Johan Fjeldtvedt	“Efficient Streaming and Compression of Hyperspectral Images” Publications: CubeDMA, CCSDS-123 sequential, CCSDS-123 parallel Awards: 2019 NTNU Award for best master’s thesis in microelectronics, FPGA forum award 2019
Lars Bolstad	“JPEG2000 Compression Software/Hardware Codesign”
Espen Moen	“Onboard Data Processing Pipeline and Software/Hardware Implementation of Extended Multiplicative Signal Correction”
Aysel Karimova	“[SmallSat] FPGA Implementation of PCA Dimensionality Reduction Technique”
Martin Haukali	“FPGA Implementation of Hyperspectral Anomaly Detection Algorithm”

2016-2017

Lars Erik Songe Paulsen

“Design and Analysis of HEVC compliant CABAC Architecture” 2018 NTNU Award for best master’s thesis in microelectronics