Master Thesis Opportunities at CST

Contact	Email	Master Research Themes			More info
Christopher Peters	chpeters@kth.se	Virtual characters, crowds and social robots	Procedural graphics generation	Game technologies	Link
Stefano Markidis	markidis@kth.se	Performance Modeling and Characterization	Physics-Informed Machine Learning	Quantum Computing Applications	Link
Tino Weinkauf	weinkauf@kth.se	Visualization in general	Feature-based Data Analysis	Topology, Trees, Graphs
Robert Lindroos	rlindr@kth.se	Computational Neuroscience	Machine learning	Synaptic plasticity - learning	Link
Arvind Kumar	arvkumar@kth.se	Markerless tracking to detect future epilepsy in infants	Analysis of brain activity data	Computational modelling of biological neural networks	Link
Ivy Peng	bopeng@kth.se	Heterogeneous parallel computing	Memory-centric Computing	Converged Cloud and HPC system	Link
Jörg Conradt	conr@kth.se	Object detection with biological vision	Accelerated biological learning on GPUs	Biological neurons in embedded systems
Pawel Herman	paherman@kth.se	Brain-like computing	Computational neural network modelling of brain cognitive function	Brain-computer interfaces
Martin Rehn	rehn@kth.se	Computational Neuroscience	Machine learning	Quantitative finance
Golnaz Taheri	golnazt@kth.se	Computational biology for cancer detection	Machine learning	Deep learning for drug interaction prediction
Olivia Eriksson	olivia@kth.se	Model extension and model selection of a synaptic plasticity model	Structural Identifiability for models of the brain		Link
Johan Hoffman	jhoffman@kth.se	Numerical analysis	Fluid mechanics	Computational mechanics

Click on the name of each individual above (leftmost column) to be brought to their KTH profile page.

We examine and supervise KTH theses across HCT, CS and IS departments.

Don't hesitate to contact us if you would like to investigate thesis opportunities!