Research and Development
I am interested in projects related to Elliptic Partial Differential Equations, Geometric Analysis, and Applied Mathematics with applications to Machine Learning Theory, Control Systems, Diffusion Models, and Biological Signal Processing. In particular I enjoy understanding mathematical questions related to existence, uniqueness, regularity estimates, asymptotic estimates, compactness, and perturbation theory. Applications to Biological Signal processing focus on designing and engineering data systems used in procedure for patients with Cardiac Arrhythmias.
Patents
System and method for electro-anatomical mapping (EAM) based on a surface mesh
Research Papers
Jain, R., 2017. Uniform Estimates for the Penalized Boundary Obstacle Problem. arXiv:1510.06324.
Jain, R., 2017. The Fully Nonlinear Stochastic Impulse Control Problem. arXiv:1510.06394
Jain, R., 2016. The Classical Stochastic Impulse Control Problem. arXiv:1510.06317.
Survey Papers
Jain, R., Jo, J., 2017. The Calabi Conjecture. arXiv:1703.06945.
Selected Presentations
CMS Summer Sectional Meeting, June 2nd, 2018 University of New Brunswick at Fredericton:
AMS Spring Sectional Meeting, April 15th, 2018 Portland State University:
PDE Seminar, November 28th, 2016 Bringham Young University:
AMS Fall Sectional Meeting, October 15th, 2016 St. Paul University:
International Workshop on Elliptic and Kinetic Equations, July 10th, 2015 IMPA:
Introductory School on Free Boundary Problems and Related Topics, January 2015 Isaac Newton Institute for Mathematical Sciences:
PhD Thesis
Outreach
Organizer for Math Research Conferences:
McGill University Geometric Analysis Workshop
PhD Candidacy Exam Committee Member:
Viscosity Solutions, Convergent Schemes for PDEs and PDE Characterization of Convexity
Referee for Mathematical Journal Articles:
AMS Special Session on Nonlocal Operators
Discrete Dynamical Systems A
Organizer for Graduate Math Research Seminars:
Undergraduate Research
Economic Development Seminar Paper: Analyzing Poverty alleviation in the Rural Sector