Dr. Efe Bozkir

Dr. Efe Bozkir


Technische Universität München

TUM School of Social Sciences and Technology

Lehrstuhl Human-Centered Technologies for Learning

Marsstraße 20-22
80335 München

Arcisstraße 21
80333 München

Raum: 237

Sprechzeiten: Nach Vereinbarung oder einfach vorbeikommen.

Tel.: +49 89 289 24308

E-Mail: efe.bozkir@tum.de


I am a postdoctoral researcher at TU Munich Chair of Human-Centered Technologies for Learning at the School of Social Sciences and Technology, and the University of Tübingen, Department of Computer Science.

Previously, I was a visiting postdoctoral researcher between August 2022 and January 2023 at CyLab Security and Privacy Institute of Carnegie Mellon University, where I conducted research on usable privacy and security with Lorrie Cranor and Lujo Bauer and I was supported by Cluster of Excellence – Machine Learning for Science.

I got my doctoral degree in 2022 from the Human-Computer Interaction Lab of the University of Tübingen, where Enkelejda Kasneci advised me. My dissertation revolved around virtual reality, eye tracking, and information privacy. Before those, I got my M.Sc. and B.Sc. degrees from the Department of Computer Science of TU Munich and the Department of Computer Engineering of Istanbul Technical University in 2016 and 2014, respectively. I have some industry experience as well, where I worked at various places such as Netlight Consulting in Munich and Hamburg as an IT consultant and at Texas Instruments in Freising as a software developer. My focus in the industry was backend development, natural language understanding, and conversational UI. 

Education in a nutshell

  • Dr. rer. nat. in Computer Science, University of Tübingen, 2022.
  • M.Sc. in Computer Science, Technical University of Munich, 2016.
  • B.Sc. in Computer Engineering, Istanbul Technical University, 2014.


My research revolves around human-computer interaction and artificial intelligence in extended reality by involving different sensing modalities such as eye tracking to understand how humans behave and the privacy implications of such settings, focusing both on computational techniques and human factors. My aim is to make virtual and immersive setups more user-centered, intuitive, and usable so that these setups can be adopted by wider communities in everyday life. As very fine-grained information can be obtained about humans in these setups due to the nature of the devices and settings, I think that privacy aspects should be taken into account very carefully so that all those fascinating opportunities are not overshadowed by privacy concerns. 

I am always interested in new academic and industry collaborations and think that interdisciplinary work is key for groundbreaking research and development. If you are interested in what I do, both potentially as a collaborator or as a student, feel free to reach out. I am happy to discuss this as long as we can find a mutual interest.

Find me

My publications are mostly up-to-date on my Google Scholar profile. You can also find me on X , Linkedin, Github, and via my personal page.