Biography

My main research areas are Augmented and Virtual Reality and Machine Learning, with a focus on both neuroscience and medical aspects.

In 2023, I earned my PhD degree from the City University of Hong Kong, where I had the privilege of being supervised by esteemed professors Prof. Alvaro Cassinelli and Prof. Jan Schnupp. During my time at City University, I was honored to receive the prestigious Hong Kong Ph.D. Fellowship Award (2019 - 2023).

My doctoral research focused on how the human brain and body respond to AR and how we can use these technologies to develop novel medical therapies. This interdisciplinary research was conducted with world-leading neuroscientists, rehabilitation scientists, and psychologists in Hong Kong.

Prior to my PhD, I received my Master’s and Bachelor’s degrees in Computer Science from the University of Oldenburg under the supervision of Prof. Dr.-Ing. Andreas Hein.

During my Master’s degree, I completed several research projects at the Nara Institute of Science Technology in Japan, one of which won the prestigious Best Short Paper Award at the ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (2018). These projects were conducted in collaboration with the Interactice Media Design Laboratory of the Nara Institute of Science and Technology in Japan and the Institute of Computer Graphics and Image Processing of the Graz University of Technology in Austria. Later, I evaluated the system with medical experts from the Assistance Systems and Medical Device Technology group at the University of Oldenburg.

Interests
  • Augmented and Virtual Reality
  • Machine Learning
  • Neuroscience
  • Medical Engineering, Imaging
Education
  • PhD in Human Computer Interaction, 2019 - 2023

    City University of Hong Kong

  • MSc in Computer Science, 2016 - 2018

    Carl von Ossietzy University of Oldenburg

  • BSc in Computer Science, 2013 - 2016

    Carl von Ossietzy University of Oldenburg

Publications

Cardiopulmonary Resuscitation Quality Parameters from Motion Capture Data using Differential Evolution Fitting of Sinusoids