معرفی
Kumari Pooja is a Marie Curie Doctoral Researcher and PhD Student at the Technical University of Denmark (DTU), affiliated with the Department of Applied Mathematics and Computer Science Visual Computing. She contributes to open-source computational tools and geometric modeling.
Research Interests:
- Machine Learning and Deep Learning for imaging
- 3D Visualization and Fiber Tracking
- Medical Imaging and Hyperspectral Data Analysis
- Optimizing Computational Efficiency in Image Reconstruction
Scientific Contributions: Her work spans 3D Python tool development, deep unrolled neural networks, and hyperspectral classification architectures, with a focus on robustness to noise and multi-scale analysis.
Awards:
- Marie Curie Doctoral Researcher Fellowship
Contact: pooja@dtu.dk
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