Dr. Shahram Eivazi

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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
shahram.eivazi@uni-tuebingen.de
Office
Sand 14, C220
Office hours
on appointment

Research Interests

  • Eye tracking
  • Machine vision
  • Machine learning
  • HCI and Human factors
  • Medical technology
  • Micro-neurosurgery
  • Robotic

Current Projects

  1. EyeMic, a binocular eye tracker that can be attached on top of any microscope ocular. (Video link)
    This is the first step towards unrestricted eye tracking in microscopy procedures for development of future gaze-contingent microscope control systems.
    EyeMic, a binocular eye tracker that can be attached on top of any microscope ocular
    Video

  2. A Head and Eye Tracking method for Hands-free Control of a Robotic system. (video link)
    We are developing a head and gaze-contingent robotic exoscope for camera viewpoint automation. A Head and Eye Tracking method for Hands-free Control of a Robotic system
    Video

  3. Gaze-Telesurgery for the SECTIO CHIRURGICA platform. Here we are developing a live gaze tracking system to be used for online training of surgeons.
    Gaze-Telesurgery for the SECTIO CHIRURGICA platform

Publications

RemoteEye: An open-source high-speed remote eye tracker

by Benedikt Hosp, Shahram Eivazi, Maximilian Maurer, Woflgang Fuhl, David Geisler, and Enkelejda Kasneci

In Behavior Research Methods. Springer, 2020.

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Improving Real-Time CNN-Based Pupil Detection Through Domain-Specific Data Augmentation

by S. Eivazi, T. Santini, A. Keshavarzi, T. C. Kübler, and A. Mazzei

In Proceedings of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA) – To Appear, 2019.

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An Inconspicuous and Modular Head-Mounted Eye Tracker

by S. Eivazi, T. Kübler, T. Santini, and E. Kasneci

In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA) , 2018.

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BORE: Boosted-oriented edge optimization for robust, real time remote pupil center detection

by W. Fuhl, S. Eivazi, B. Hosp, A. Eivazi, W. Rosenstiel, and E. Kasneci

In Eye Tracking Research and Applications, ETRA, 2018.

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Using Eye Tracking to Evaluate and Develop Innovative Teaching Strategies for Fostering Image Reading Skills of Novices in Medical Training

by N. Castner, S. Eivazi, K. Scheiter, and E. Kasneci

In Eye Tracking Enhanced Learning (ETEL2017), 2017.

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Towards Intelligent Surgical Microscopes: Surgeons Gaze and Instrument Tracking

by Shahram Eivazi, Wolfgang Fuhl, and Enkelejda Kasneci

In Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017. ACM, 2017.

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Towards automatic skill evaluation in microsurgery

by Shahram Eivazi, Michael Slupina, Wolfgang Fuhl, Hoorieh Afkari, Ahmad Hafez, and Enkelejda Kasneci

In Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017. ACM, 2017.

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Optimal eye movement strategies: a comparison of neurosurgeons gaze patterns when using a surgical microscope

by S. Eivazi, A. Hafez, W. Fuhl, H. Afkari, E. Kasneci, M. Lehecka, and R. Bednarik

In Acta Neurochirurgica, 2017.

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Automated Visual Scanpath Analysis Reveals the Expertise Level of Micro-neurosurgeons

by T. C. Kübler, S. Eivazi, and E. Kasneci

In MICCAI 15 Workshop on Interventional Microscopy, 2015.

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