Short curriculum vitae

I was a PhD student in the Distributed Systems Group at ETH Zurich under the supervision of Prof. Friedemann Mattern. I joined the group in April 2016 and completed my PhD in May 2020. Before joining the group, I received both my M.Sc. and B.Sc. in Computer Science from the Karlsruhe Institute of Technology (KIT), Germany. During my studies I stayed at Carnegie Mellon University, US, from October 2013 until February 2014, to compose my Bachelor's thesis. Furthermore, I stayed at LIAAD, INESC TEC in Porto, Portugal, from September 2015 until March 2016 to do my Master's thesis.

Research interests

My research at ETH Zurich focuses in general on machine learning and data mining.

  • Previously, I worked on estimating potential savings in heating energy using occupancy detection to determine whether a household is occupied.
  • Now, I am interested in the field of interactions with smart devices. This includes, e.g., object detection from a video stream on mobile devices, gesture-based control of devices, etc.
Learn more about projects


  • HS 2016 Distributed Systems as teaching assistant
  • FS 2017 Informatik II (D-ITET) as co-head teaching assistant
  • HS 2017 Distributed Systems as teaching assistant
  • FS 2018 Informatik II (D-ITET) as head teaching assistant
  • HS 2018 Informatik I (D-BAUG) as teaching assistant
  • FS 2019 Informatik II (D-ITET) as head teaching assistant
  • HS 2019 Informatik II (D-ITET) as head teaching assistant. Current tutorial website: Link


ETH Research Collection Google Scholar ResearchGate GitHub

Former students

  • Christian Mnuk (now Master's student at ETH)
  • Erfan Abdi (now at Google Zurich)
  • Maximilian Wurm (now at Venios GmbH)
  • Pietro Oldrati (now Master's student at ETH)
  • Linus Fessler
  • Felix Rauchenstein (now at infix development GmbH)
  • Alexander Kayed (now at OneOffix)
  • Sandro Kalbermatter
  • Chenyang Wang



I was a reviewer for the IMWUT journal, The Web Conference 2020, ISWC 2019, Energieinformatik 2017, ACM SAC 2017 (Data Streams track), the Machine Learning Journal (Springer), ACM SAC 2016, IEEE TKDE, and FCT 2016.