Scholar
David C. Schedl
Google Scholar ID: MkEtNhkAAAAJ
University of Applied Sciences Upper Austria
Citations & Impact
Citations
694
H-index
13
i10-index
14
Publications
20
Co-authors
5
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published numerous papers in journals such as Journal of Imaging, IEEE Sensors Journal, Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Nature Machine Intelligence, Nature's Scientific Reports, and Optics Express; research covers areas like airborne optical sectioning, thermal imaging monitoring, and thin-film imaging technology.
Research Experience
- Served as a post-doctoral researcher at the Institute of Computer Graphics at Johannes Kepler University Linz until 2021; involved in multiple research projects including Search and Rescue with Airborne Optical Sectioning, Nesting Observation with Airborne Optical Sectioning, etc.
Education
- Completed his Ph.D. degree at Johannes Kepler University Linz in 2018; graduated from the master's program in Interactive Media at the University of Applied Sciences in Hagenberg in 2011; joined the Rendering Group at Vienna University of Technology in 2012.
Background
- Currently holds the position of Professor of Visual Computing at the Upper Austrian University of Applied Sciences, Campus Hagenberg. Research interests include computer vision, computational photography, machine learning, and drones. Specifically focused on optimal sampling strategies and the development of innovative algorithms for multi-view data, such as light fields.
Miscellany
- Contact: david.schedl (at) gmail.com; mobile: +43 (0) 664 5153 376
