Ties Robroek | IT University of Copenhagen

About Me

I am a Ph.D. student at the IT University of Copenhagen working on Resource-Aware Machine Learning. Before joining ITU, I studied at the Radboud University Nijmegen, where I graduated with a Masters degree in Data Science with a traineeship focussed on Massively-Parallel acceleration of Machine Learning (via graphics cards) at the University of Copenhagen.

My research focusses on improving accessibility and sustainability of Deep Learning. Notably, I am interested in how we can make reporting resource consumption a given instead of a nuisance. My current research focusses on improving the efficiency of training convolutional neural networks at a slight calculated cost in network performance. Besides Machine Learning, i am interested in the acceleration of algorithms and graphics via graphics cards. My PhD supervisor is Pınar Tozun.

As a researcher I am part of the RAD (Resource-Aware Data Science) team which is part of the DASYA (Data-Intensive Systems and Appplications) group.

Research Interests

Machine Learning Systems: green AI, image classification, training optimisation
High Performance Computing: machine learning acceleration, CUDA, opencl