Developing models which work at the intersection of Applied Mathematics and Machine Learning.
Shreyas Fadnavis is currently a PhD student at Indiana University in the Intelligent Systems Engineering Department who focuses on Optimization, Machine Learning and Applied Mathematics for Neuroimaging Models.
In the past, Shreyas has completed his Bachelor’s from Pune Institute of Computer Technology in Computer Engineering where his main focus was Image Processing, Modeling for Statistical Learning, Stochastic Processes and Simulation Studies.
Model Fitting using Microstructure Imaging of Crossing (MIX): DIPY
Diffusion MRI measures water diffusion in biological tissue, which can be used to probe its microstructure. The most common model for water diffusion in tissue is the diffusion tensor (DT), which assumes a Gaussian distribution. This assumption of Gaussian diffusion oversimplifies the diffusive behavior of water in complex media a…
Shreyas Fadnavis, advised by Prof. Eleftherios Garyfallidis, recently got selected to work as a research intern with the IBM Watson team in New York, USA. As a part of this, he will be working on developing Deep and Shallow Multiple Kernel Learning (MKL) algorithms for volumetric image data. This is a new frontier of AI that will work at the intersection of multi-modality learning and spatial sta…