Human Computer Interaction

Efe Bozkir

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University of Tübingen
Dpt. of Computer Science
Human-Computer Interaction
Sand 14
72076 Tübingen
Germany

Telephone
+49 - (0) 70 71 - 29 - 70494
Telefax
+49 - (0) 70 71 - 29 - 50 62
E-Mail
efe.bozkir@uni-tuebingen.de
Office
Sand 14, C220
Office hours
on appointment

If you are a master student looking for a thesis in the field of ML/AR/VR, I might have an interesting topic for you.

Research Interests

  • Autonomous Driving
  • Gaze-aware Driver Observation and Assistance Systems
  • AR/VR
  • Machine Learning
  • Privacy-preserving Systems
  • Eye Tracking and Eye Tracking Data Analysis

Education and Academic Degrees

  • Ph.D. Candidate in Computer Science, Eberhard Karls University of Tübingen, Germany, July 2018 - Present
  • M.Sc. in Computer Science, Technical University of Munich, Germany, September 2016
  • B.Sc. in Computer Engineering, Istanbul Technical University, Turkey, February 2014

Professional Experience

  • IT Consultant, Netlight Consulting, Munich&Hamburg, Germany, May 2017 - July 2018
  • Software Developer, Texas Instruments, Freising, Germany, May 2015 - September 2016

Publications

Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework

by Efe Bozkir, Ali B. Uenal, Mete Akguen, Enkelejda Kasneci, and Nico Pfeifer

In Eye Tracking Research and Applications. ACM, 2020.

[BIB]

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Encodji: Encoding Gaze Data Into Emoji Space for an Amusing Scanpath Classification Approach ;)

by Wolfgang Fuhl, Efe Bozkir, Benedikt Hosp, Nora Castner, David Geisler, Thiago C., and Enkelejda Kasneci

In Eye Tracking Research and Applications, 2019.

[PDF] [BIB]

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Person Independent, Privacy Preserving, and Real Time Assessment of Cognitive Load using Eye Tracking in a Virtual Reality Setup

by E. Bozkir, D. Geisler, and E. Kasneci

In The IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Workshops, 2019.

[PDF] [BIB]

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Assessment of Driver Attention During a Safety Critical Situation in VR to Generate VR-based Training

by E. Bozkir, D. Geisler, and E. Kasneci

In ACM Symposium on Applied Perception 2019, 2019.

[PDF] [BIB]

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