PhD student in Machine Learning at Blekinge Institute of Technology, in Sweden. I am working under the project Scalable resource- efficient systems for big data analytics funded by the Knowledge Foundation (Sweden), advised by Niklas Lavesson and Håkan grahn.
The main focus of my thesis is on making machine learning algorithms more energy efficiency. In particular, I have studied the energy consumption patterns of streaming algorithms, and then proposed new algorithm extensions that reduce their energy consumption
Projekt och publikationer
|Scalable resource- efficient systems for big data analytics|