Research expertise includes Machine Learning, Recurrent Neural Networks, Statistical Modeling, Deep Learning, Computer Vision, Mathematical Foundations, Manifold Learning, Riemannian Geometry, Statistical Analysis, Optimization. Application areas include Medical Imaging, Signal Processing, Data Analysis, and Scientific Computing.
Background
A research scientist specializing in statistical modeling, machine learning, and manifold-valued data analysis. My work focuses on developing innovative recurrent neural network architectures for complex data structures, with applications in computer vision, medical imaging, and signal processing.
Miscellany
Contact: Email rudrasischa@gmail.com; Academia Google Scholar; Professional LinkedIn; Code GitHub