PhD Students


Research assistants


  • Robert Bayer (January 2022 - present)


  • Jon Voigt Tøttrup (January 2022 - July 2022, now at Visma)

  • Sebastian Baunsgaard (July 2019 - December 2019, now PhD student at TU Graz, Austria)

  • Sebastian Benjamin Wrede (July 2019 - December 2019, now PhD student at KNOW Center, Graz, Austria)

MSc thesis supervised

Fall 2022 - Spring 2023 / Ongoing

  • DAPHNE at the Edge
    Students: Adelina-Georgiana Mahu, Peter Due Jensen, Signe Frederikke Bramsen Hansen

  • Efficiency of Data Pre-Processing in ML Pipelines
    Student: Joachim Moe Osterhammel

  • Efficient Data Storage and Loading for Deep Learning Frameworks
    Student: Neil Kim Nielsen
    Co-supervised with Ties Robroek

  • Hardware Utilization Estimation with Machine Learning
    Student: Hans Kristian Krogshede
    Co-supervised with Ehsan Yousefzadeh-Asl-Miandoab

  • Image Analysis on Cubesats
    Student: Robert Bayer

  • Disk Access Tracing for Data-Intensive Systems
    Student: Jonas Aagaard

Fall 2021 - Spring 2022

  • An Analysis of Multi-Instance GPUs for Machine Learning Workloads
    Students: Anders Friis Kaas, Stilyan Petrov Paleykov
    Co-supervised with Ties Robroek

  • Computational Storage - Experimental Analysis of ScaleFlux Device
    Students: Benjamin Møller Noer, Mark Kristian Kristensen, Servan Güler

  • Micro-architectural Analysis of Learned Indexes
    Student: Thomas Tyge Andersen

  • An Analysis of Data Integration Challenges in Digital Marketing Data
    Student: Pernille Lykke Weiercke

Fall 2020 - Spring 2021

  • Dynamic eCP
    Student: Morten Skøtt Knudsen
    Co-supervised with
    Björn Thór Jónsson

  • An Analysis Of New Generation SSDs
    Student: Andreas Blanke, Magnus Christian Frydenlund Krøyer

    Co-supervised with Philippe Bonnet

  • Profiling Unity DOTS
    Students: Niels Frederik Ejlersen

Fall 2019 - Spring 2020

  • Benchmarking time-series systems with an HTAP/IoT workload
    Marcus Winding Quistgaard

  • Scheduling in Multi-tenant Systems based on Application Characteristics
    Student: Peter Hrvola

Fall 2018 - Spring 2019

  • Scalable Speech Recognition
    Students: Sebastian Baunsgaard, Sebastian
    Benjamin Wrede

BSc thesis supervised

Fall 2021

  • Unity Performance with Data Oriented Technology Stack (DOTS)
    Students: Anders Parsberg Wagner

Spring 2021

  • Performance profiling of the learned index ALEX against different database indexes
    Students: Mikkel Møller Andersen
    Later published as Micro-architectural Analysis of a Learned Index at aiDM 2022

  • Optimizing Neural Networks for PYNQ
    Students: Neil Kim Nielsen, Robert Bayer
    Co-supervised with
    Zsolt István

  • Analysis of Multi-GPU Training for Neural Networks
    Students: Gustav Sandholm Franck, Jacob August Xander Ottensten

  • Exploration of SystemDS
    Students: Emil Dichmann

  • Gathering and presentation of data for CO2 emmision from buildings
    Students: Andreas Pries-Brokmann, Jeremy Wernet Rasmussen

Spring 2020

  • Comparing Intel’s oneAPI performance to traditional multithreaded code
    Students: Danny Delic

Spring 2019

  • A Study of Partitioning Algorithms For In-Memory Databases
    Student: Tobias Skovgaard Jeppesen
    Co-supervised with
    Philippe Bonnet

Other student projects supervised

Fall 2021

  • Low-latency Inference for NLP on Specialized Hardware
    Students: Neil Kim Nielsen, Robert Bayer
    Co-supervised with Zsolt István

Fall 2018

  • Indicators of Compromise in Common Crawl
    Students: Anders Højgaard Joensen