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Version skapad av Christopher Peters 2025-04-25 19:15
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Master Thesis Opportunities at CST
| Name | Research themes | KTH Profile URL | |||
| Theme 1 | Theme 2 | Theme 3 | |||
| Christopher Peters | chpeters@kth.se | Virtual characters and crowds | Procedural graphics generation | Game technologies | https://www.kth.se/profile/chpeters |
| Stefano Markidis | markidis@kth.se | Performance Modeling and Characterization | Physics-Informed Machine Learning | Quantum Computing Applications | https://www.kth.se/profile/markidis |
| Tino Weinkauf | weinkauf@kth.se | Visualization in general | Feature-based Data Analysis | Topology, Trees, Graphs | https://www.kth.se/profile/weinkauf |
| Robert Lindroos | rlindr@kth.se | Computational Neuroscience | Machine learning | Synaptic plasticity - learning | https://www.kth.se/profile/rlindr?l=en |
| Arvind Kumar | arvkumar@kth.se | Markerles tracking to detect future epilepsy in infants | Analysis of brain activity data | Computational modelling of biological neural networks | https://www.kth.se/profile/arvindku |
| Ivy Peng | bopeng@kth.se | Heterogeneous parallel computing | Memory-centric Computing | Converged Cloud and HPC system | https://www.kth.se/profile/bopeng |
| Jörg Conradt | conr@kth.se | Object detection with biological vision | Accelerated biological learning on GPUs | Biological neurons in embedded systems | https://www.kth.se/profile/conr |
| Pawel Herman | paherman@kth.se | Brain-like computing | Computational neural network modelling of brain cognitive function | Brain-computer interfaces | https://www.kth.se/profile/paherman |
| Martin Rehn | rehn@kth.se | Computational Neuroscience | Machine learning | Quantitative finance | https://www.kth.se/profile/rehn/ |
| Golnaz Taheri | golnazt@kth.se | Computational biology for cancer detection | Machine learning | Deep learning for drug intraction prediction | https://www.kth.se/profile/golnazt |
| Olivia Eriksson | olivia@kth.se | Model extension and model selection of a synaptic plasticity model | Structural Identifiability for models of the brain | https://www.kth.se/profile/olivia |