معرفی
Gautam Pai is a postdoctoral researcher at the Eindhoven University of Technology, affiliated with the School of Mathematics and Computer Science. His work focuses on geometric learning, differential geometry, and the application of partial differential equations (PDEs) to machine learning and computer vision.
- Research Interests: Geometric Deep Learning, Optimal Transport, Cartan Connections, Lie Group Theory, Biomedical Image Analysis, and Structural Health Monitoring.
- Collaborations: Active in interdisciplinary projects involving mathematics, computer science, and biomedical engineering.
- Awards: No explicit scientific awards mentioned in the provided data.
- Advising: No students or advisees listed in the available records.
Recent research output highlights his expertise in designing geometrically equivariant neural networks and applying optimal transport methods to real-world problems like crack detection in steel bridges and vascular tree tracking in retinal imaging. His publications span peer-reviewed journals and conference proceedings, emphasizing the intersection of mathematics and machine learning.
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