Ties Robroek (September 2024 - present, formerly Phd student September 2021 - August 2024)
Robert Bayer (August 2023 - present, formerly research assistant January 2022 - July 2023)
Ehsan Yousefzadeh-Asl-Miandoab (November 2021 - present)
Aya Kherrour (January 2025 - April 2025, visiting PhD student from University of Trento)
Joachim Moe Osterhammel (Former research assistant, August 2023 - December 2023)
Neil Kim Nielsen (Former research assistant, July 2023 - November 2023)
Paul Rosero (Former postdoctoral researcher, June 2022 - September 2023)
Next position: Senior Computer Vision Researcher at AIMENAaron Duane (Former postdoctoral researcher, August 2022 - February 2023)
Next position: Data Visualisation and Frontend Developer at Churney.Jon Voigt Tøttrup (Former research assistant, January 2022 - July 2022)
Next position: Software Developer at Solution Management ApS.Sebastian Baunsgaard (Former research assistant, July 2019 - December 2019)
Next position: PhD student at DAMS lab at Graz University of Technology, Austria.Sebastian Benjamin Wrede (Former research assistant, July 2019 - December 2019)
Next position: PhD student at DAMS lab at Graz University of Technology, Austria.
GPU-Initiated Storage Access
Student: Karl Bonde Torp
Co-supervised by Simon LundEfficiency of Data Selection Methods for Machine Learning
Students: Niklas Christiansen, Daniel Sepehri
Co-supervised by Ties RobroekFlexible Data Placement for DuckDB
Students: Emil Houlborg, Andreas Nicolaj Tietgen
Co-supervised by Vivek ShahHybrid power supply for wearables running data-intensive workloads
Student: Jonathan Asibi Drivsholm Ayagiba
Co-supervised by Sebastian Büttrich
ML Serving on Shared GPU Nodes
Student: Kamil Kojs
Co-supervised by Ehsan Yousefzadeh-Asl-MiandoabDuckDB for RADT's Data Management Backend
Students: Kamila Garczynska, Dagmara Kamila Przygocka
Co-supervised by Ties RobroekDISCO2: Camera Control for Constrained Resource Earth Imaging Cubesats
Student: Ívar Óli Sigurðsson
Co-supervised by Julian Priest and Yucheng LuDISCO2: CubeSat Task Scheduling
Student: Nicolaj Valsted
Co-supervised by Robert Bayer and Julian PriestDISCO2: Image Processing Pipeline
Students: Jeppe Lindhard, Daniel Gjesse Kjellberg, Nikolaj Sørensen
Co-supervised by Robert Bayer and Julian Priest
DAPHNE at the Edge
Students: Adelina-Georgiana Mahu, Peter Due Jensen, Signe Frederikke Bramsen HansenData Pre-Processing in ML Pipelines
Student: Joachim Moe OsterhammelEfficient Data Storage and Loading for Deep Learning Frameworks
Student: Neil Kim Nielsen
Co-supervised by Ties RobroekHardware Utilization Estimation with Machine Learning
Student: Hans Kristian Krogshede
Co-supervised by Ehsan Yousefzadeh-Asl-MiandoabImage Analysis on Cubesats
Student: Robert Bayer
Won Best Computer Science MSc Thesis Award in Denmark in 2023
Findings published as Reaching the Edge of the Edge: Image Analysis in Space at DEEM 2024Disk Access Tracing for Data-Intensive Systems
Student: Jonas Aagaard
An Analysis of Multi-Instance GPUs for Machine Learning Workloads
Students: Anders Friis Kaas, Stilyan Petrov Paleykov
Co-supervised by Ties RobroekComputational Storage - Experimental Analysis of ScaleFlux Device
Students: Benjamin Møller Noer, Mark Kristian Kristensen, Servan GülerMicro-architectural Analysis of Learned Indexes
Student: Thomas Tyge AndersenAn Analysis of Data Integration Challenges in Digital Marketing Data
Student: Pernille Lykke Weiercke
Dynamic eCP
Student: Morten Skøtt Knudsen
Co-supervised by Björn Thór JónssonAn Analysis Of New Generation SSDs
Student: Andreas Blanke, Magnus Christian Frydenlund Krøyer
Co-supervised by Philippe BonnetProfiling Unity DOTS
Student: Niels Frederik Ejlersen
Benchmarking time-series systems with an HTAP/IoT workload
Student: Marcus Winding QuistgaardScheduling in Multi-tenant Systems based on Application Characteristics
Student: Peter Hrvola
Scalable Speech Recognition
Students: Sebastian Baunsgaard, Sebastian Benjamin Wrede
Co-supervised by Leon Derczynski
Robustness Analysis of Resource-Constrained Hardware for Space
Student: Burak Özdemir
Co-supervised by Robert BayerIntegrating CarbonTracker into RadT
Students: Sebastian Graakjær Blok, Karl Gustav Løhr
Co-supervised by Ties Robroek
Drift for TinyML
Student: Janusz Jakub Wilczek
Co-supervised by Robert Bayer
Unity Performance with Data Oriented Technology Stack (DOTS)
Student: Anders Parsberg Wagner
Performance profiling of the learned index ALEX against different database indexes
Student: Mikkel Møller Andersen
Later published as Micro-architectural Analysis of a Learned Index at aiDM 2022Optimizing Neural Networks for PYNQ
Students: Neil Kim Nielsen, Robert Bayer
Co-supervised by Zsolt IstvánAnalysis of Multi-GPU Training for Neural Networks
Students: Gustav Sandholm Franck, Jacob August Xander OttenstenExploration of SystemDS
Student: Emil DichmannGathering and presentation of data for CO2 emmision from buildings
Students: Andreas Pries-Brokmann, Jeremy Wernet Rasmussen
Comparing Intel’s oneAPI performance to traditional multithreaded code
Student: Danny Delic
A Study of Partitioning Algorithms For In-Memory Databases
Student: Tobias Skovgaard Jeppesen
Co-supervised by Philippe Bonnet
Reproducing Published BaM-based GPU-Initiated IO Results
Student: Karl Bonde Torp
Co-supervised by Simon LundDuckDB for RADT's Data Management Frontend
Student: Jacob Andreas Sneding Rohde
Co-supervised by Ties Robroek
Performant dynamic focus-depth of WSI from scanning with diagonal camera angle
Student: Jacob Andreas Sneding Rohde
Low-latency Inference for NLP on Specialized Hardware
Students: Neil Kim Nielsen, Robert Bayer
Co-supervised by Zsolt István
Indicators of Compromise in Common Crawl
Student: Anders Højgaard Joensen