Arthur Andreas Nijdam
I’m a PhD student in privacy-preserving machine learning for Internet of Things devices. My research ultimately revolves around bridging the gap between theoretical machine learning and practical (medical) applications. In my past projects, I’ve worked with deep learning, representation learning and generative learning on point clouds, image data and 1D time series.
Feel free to contact me if you are interested to collaborate, or if you’re a student who’s interested in doing a project with me.