I use my background in software engineering to conduct research on improving touch interfaces on mobile devices. In particular, I develop and explore a wide range of novel interaction techniques on mobile devices driven by state-of-the-art machine learning. Most recently, I combine this with the raw data of mutual capacitive touchscreens to identify the source of touch which enables interesting applications. For example, intended palm touches can be used to provide useful shortcuts and improve reachability while being perceived as natural and intuitive by users. I am also interested in modeling touch interaction and hand ergonomics to improve how users interact 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. Don’t hesitate to contact me in case of any questions!
- (April 2018) I will present two papers as first author (1, 2) and my PhD work in the Doctoral Consortium at CHI ’18 in Montréal, Canada.
- (March 2018) I will give a public talk of my Milestone Presentation about Hand-and-Finger-Aware Touch Interaction on Mobile Devices at the University of Stuttgart.
- (November 2017) I will give a tutorial on Machine Learning with Tensorflow for Mobile and Ubiquitous Interaction at MUM ’17.
- (October 2017) I will present a paper about reducing touchscreen latency using neural networks and IMUs at ISS ’17 in Brighton, England.
- (September 2017) I will give 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.