I’m a final year Ph.D. candidate and research associate in the Interaction Lab at the University of Stuttgart. My research is grounded in the domain of Human-Computer Interaction and applies Machine Learning techniques to improve and extend interaction on mobile devices.
Most recently, I am working on new touch-based interaction techniques driven by capacitive sensing processing with deep learning. Model-based input processing enables new application scenarios such as finger-aware input, grip sensing, and the inference of further input properties to solve the current limitations of touch input. I am also interested in modeling hand ergonomics and touch interaction in general to find new ways for improving interaction with mobile devices.
Prior to my Ph.D. work starting in late 2015, I completed a Bachelor’s and Master’s degree in Software Engineering at the University of Stuttgart. Moreover, I worked as a software engineering intern at Daimler TSS and as a visiting researcher at the School of Computing and Communications at the Lancaster University. Don’t hesitate to contact me in case of any questions!
- I’ll present a paper about finger identification on capacitive touchscreens using deep learning at IUI ’19 in Los Angeles, CA, USA.
- Presented a paper about deep learning for finger-aware interaction on fully touch sensitive smartphones at UIST ’18 in Berlin, Germany.
- Co-organized a tutorial on Machine Learning For Intelligent Mobile User Interfaces using Keras and presented a demo at MobileHCI ’18 in Barcelona, Spain.
- Presented two papers (1, 2) and my PhD work at the Doctoral Consortium at CHI ’18 in Montréal, Canada.
- Gave a public talk of my Milestone Presentation about Hand-and-Finger-Aware Touch Interaction on Mobile Devices at the University of Stuttgart.
- Co-organized a tutorial on Machine Learning with Tensorflow for Mobile and Ubiquitous Interaction at MUM ’17 in Stuttgart, Germany.
- Presented a paper about reducing touchscreen latency using neural networks and IMUs at ISS ’17 in Brighton, England.
- Co-organized a tutorial on Machine Learning for Intelligent Mobile User Interfaces Using TensorFlow at MobileHCI ’17 in Vienna, Austria, and at Mensch & Computer 2017 at Regensburg, Germany.
- Machine Learning and Computer Vision for HCI (Lab Course)
- Machine Learning for Human-Computer Interaction (Lab Course)
- Machine Learning for Intelligent Mobile User Interfaces using TensorFlow (Lab Course)
- Media Informatics (Lecture)
- Physical Computing (Lab Course)
- Multimodal Interaction for Ubiquitous Computers (Lecture)
- Mobile Multi-Device Interaction (Lab Course)