معرفی
Jonas Unger is a Professor at Linköping University's Department of Engineering and Natural Sciences (ITN) and Media and Information Technology (MIT). As a research leader in computer graphics and image processing, he contributes to advanced visualization techniques, GPU computing, and AI applications in healthcare and climate adaptation.
- Specializes in BRDF modeling, spectral light field imaging, and augmented intelligence
- Active in AI4Climateadaptation and Wallenberg Autonomous Systems Program (WASP)
- Recipient of the 2023 Chester Carlson Research Prize
- Develops AI methods for medical imaging (SCAPIS dataset) and autonomous systems
His recent work focuses on deep learning for material acquisition, real-time rendering optimizations, and visual analytics pipelines for disaster response systems. Current projects include multi-agent reinforcement learning for air traffic control and GPU-accelerated signal processing techniques.
Scientific awards include:
- Chester Carlson Research Prize (2023)
He collaborates with Visual Sweden's Augmented Intelligence platform, co-leads major visualization conferences, and contributes to Horizon 2020 Marie Skłodowska-Curie funded research. Contact: jonas.unger@liu.se
