I enjoy supervising students on research and engineering projects across computer systems, machine learning, and applied computing. My supervision has included topics such as GPU resource management, ML systems, deep learning applications, data processing, and embedded monitoring, with an emphasis on connecting research questions to practical implementation and experimental evaluation.
Master’s Thesis Supervision
| Student |
Project |
Role |
Other supervisor(s) |
Term |
| Danyal Yorulmaz |
Understanding GPU Monitoring Metrics and Collocation Through CUDA Microbenchmarks |
Co-supervisor |
Prof. Pınar Tözün |
Spring 2026 |
| Aiting Lee |
Checkpointing as a Scheduling Primitive for Multi-Tenant Deep Learning Training |
Primary supervisor |
— |
Spring 2026 |
| Kamil Kojs |
Time-series based Preloading of Deep Learning Models on GPU to decrease service latency in ML Serving Systems |
Co-supervisor |
Prof. Pınar Tözün |
Spring 2024 |
| Hans Kristian Krogshede |
Machine Learning for GPU Utilization Estimation: Limitations and Open Challenges |
Co-supervisor |
Prof. Pınar Tözün |
Fall 2022 & Spring 2023 |
Research Projects
| Student(s) |
Project |
Role |
Other supervisor(s) |
Term |
| Danyal Yorulmaz |
Investigating GPU Utilization Metrics Estimation on the GPUMemNet Dataset |
Co-supervisor |
Prof. Pınar Tözün |
Fall 2025 |
| Jesper Terkildsen & Jacob Sonne |
Data Filtering for Saving Downlink on Small Satellites for Monitoring Coasts of Greenland |
Primary supervisor |
— |
Fall 2025 |
| Ai Ting Lee |
Demystifying Fish Species Classification: A Pedagogical Survey of the Deep Learning Workflow |
Co-supervisor |
Sebastian Büttrich |
Fall 2025 |
Independent Projects
| Student |
Project |
Role |
Other supervisor(s) |
Term |
| Niclas Søgaard Hjortkjær |
Beehive Monitoring Project |
Co-supervisor |
Sebastian Büttrich |
Fall 2025 |