Kasper is a PhD Student working on predictive maintenance using high-frequency measurements on machinery. He is particulary interested in the interaction between machine, measurement system, data storage and modelling. Understanding and utilising this infrastructure properly will enable us to use ma ...

Niclas Hedam is a PhD Fellow working on computational storage in the Data-intensive Systems and Applications group. He is particularly interested in the intersection between information security and data systems, aiming to guarantee the availability, integrity, and confidentiality of modern data sys ...

Niels is a PhD Student working with energy systems and large-scale time series data. He is interested in applying data science techniques to adapt our power grids to a low-emission future. He is also interested in sensor networks that collect energy data, playing around with wireless networks and Io ...

Morten is working as a PhD fellow with Philippe Bonnet as a supervisor. His PhD project pertains to the verification of eBPF programs which are supposed to execute on the computational unit of future computational storage devices. He completed his Master’s in Computer Science with a specialization i ...

Dovile is a PhD Fellow working together with Veronika Cheplygina on the project ‘CATS - Choosing a Transfer Source for Medical Image Classification’.

Bethany is a PhD Fellow at the IT University of Copenhagen working together with Veronika Cheplygina and Dovile Juodelyte on the project ‘CATS - Choosing a Transfer Source for Medical Image Classification’. Before joining ITU, she studied at the University of Strathclyde and Bemidji Stat ...

Jon Tøttrup is a research assistant at DASYA lab. Jon is a computer scientist working with Resource-aware Machine Learning on SoC devices, alongside Robert Bayer and Pinar Tözün. He is interested in working with efficient machine learning on new SoC platforms.

Robert Bayer is a PhD Fellow at DASYA lab under supervision of Pınar Tözün Pınar Tözün His research focuses on the area of machine learning on resorce-constrained hardware (TinyML and EdgeML). Specifically, he focuses on the resource management, task colocation, and performance analysis challenges o ...