Surya Prasath

Department of Computer Science
University of Missouri-Columbia
MO 65211 USA
Surya phone +1 573-882-8391 Surya fax +1 573-882-8318 Surya skype id surya.iit
Vita, Resume

Latest News

Paper accepted in International Conference on Image Processing (ICIP), Beijing, China, Sep 2017: Microvasculature segmentation of arterioles using deep CNN.

Old news, Official site, Wife's site, Meaning of my name. Get credit for all your research! figshare!!

Research Interests

work Visual data excites me, and I am slowly turning into a data scientist now. I started in pure mathematics and spent MS and the first few years of my PhD learning Analysis, Topology, and Geometry. Now in the last decade I spent a lot of time in learning image processing and computer vision. My current primary research areas are Analysis, partial differential equations (PDEs), Optimization, Numerical Analysis, Image Processing, and Computer Vision. Wordle: PapersI am interested in Variational-PDE based image restoration, segmentation and qualitative analysis of images. I am also interested in computer vision techniques which has strong mathematical flavor. Currently, I am working on novel computer vision techniques for remote sensing/surveillance, biometrics, biomedical imagery. Apart from this, regularization techniques applied to biomedical image processing, statistical methods, color science, and differential geometric ideas for image processing are my recent interests. For more details about my work, please have a look at my publications list or research page.

Career Interests

Mathematics :
Algebraic Topology (Applied Topology), Algebraic Geometry, Calculus of Variations, Differential Geometry, Mathematical Logic, Differential Equations, Differential Topology, Nonlinear Partial Differential Equations (PDEs), Numerical Analysis of PDEs, Finite Element Method/Analysis (FEM/FEA), Compressed Sensing, Harmonic Analysis, Generalized Inverses.

Applied Mathematics:
Regularization Methods for Inverse Problems (Image Processing, Computer Vision, Machine Learning, Deep Learning), Robust Statistics (Markov Random Fields, M-estimators), Optimization Techniques, Mathematical Image Analysis, Visualization, Level Set Methods, Mathematics for Computational Photography.

Computers :
C, C++, OpenCV, MATLAB, Mathematica, COMSOL, POV-Ray, 3DSlicer, GIMP, Adobe Photoshop, Linux, Windows OS, MS Office, TeX/LaTeX.

Martial Arts, Origami (Intermediate Level), Tangrams, Writing, Cooking, Photography.


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Caught in the web: Owls see in stereo much like humans do (JOV article) - Owls exploit the third dimension like us!!
(Other Old fishes)