Contact
+49 (711) 685-88364
Email
Universitätsstraße 38
70569
Stuttgart
Deutschland
Room: 1.061
Subject
Current Interests
- Stability of neural networks
- Neural network architectures inspired by numerical methods
- ... And all of the above applied to computer vision and specifically optical flow estimation
Background
- Numerical methods (mostly for PDEs) and scientific computing
- Computer vision
- Machine learning and convolutional neural networks
Previous Projects
- "Preconditioning Techniques for Coupled Stokes Darcy Systems" (Master's thesis, 2019/2020)
- "Learning to Transform: Neural Networks with Sparse Directional Filters for Blind Inpainting" (research project in cooperation with the University of Houston, 2018/2019)
- "Detection of Alternative Splicing in Coral Reef Fish Exposed to Climate Change" (research project with the King Abdullah University of Science and Technology, 2017)
- "Simulation and Adaptation of Contextual Bandit Algorithms for IoT Service Discovery" (Bachelor's thesis in cooperation with the National University of Singapore, 2016)
Winter 2020/2021:
- Computer Vision - Tutorial (Coordinator)
- Bildverarbeitung und Computer Vision - Seminar (Supervision)
- Computer Vision and Intelligent Systems - Colloquium (Organization)
Summer 2020:
- Imaging Science - Tutorial (Coordinator)
Before Summer Term 2020:
- Imaging Science - Tutorial (Tutor)
- Computer Vision - Tutorial (Tutor)
2016
Wanigasekara, N., Schmalfuss, J., Carlson, D., Rosenblum, D. (2016). A bandit approach for intelligent IoT service composition across heterogeneous smart spaces. Proceedings of the International Conference on the Internet of Things (pp. 21-129).