Yajni Warnapala, Ph.D.
Chair, Department of Mathematics, Professor of Mathematics
B.S. Slippery Rock University
M.S. New Mexico State University
Ph.D. University of Wisconsin-Milwaukee
Areas of Expertise:
Numerical Analysis, Integral Equations, Helmholtz Equation and Radiosity Equation
Grants & Consulting
PRIMETIME INITIATIVE - Consultant for Rhode Island Education Department - Bristol/Warren School District-2003-2005
ROGER WILLIAMS MEDICAL CENTER - Consultant on the Project titled: Evaluation of the Effect of Wound Edge Biopsies on Healing Rates of Chronic Wounds - 2008
ROGER WILLIAMS LAW SCHOOL - Consultant on the Project titled: Determinants of passing the RWU RI/MA bar exams on the first attempt - 2009-2011
MICROSOFT (Baptist Group) consultant on the Project titled: Does Microsoft Sales folks help drive the client to upgrade their operating system (windows)? – Seattle, WA - 2011
NASA Project PI for RI Space Grant titled: The Numerical Solution of the Helmholtz Equation for the Superellipsoid via the Gallerkin Method - Summer 2012
NASA Project PI for RI Space Grant titled: The Numerical Solution of the Helmholtz Equation for the Superellipsoid via the Modified Gallerking Method for the Impedance Boundary Value Condition. Jan - Sep 2014
Other Synergistic Activities
Reviewer for Journal of Student Research and International Journal of Industrial Mathematics
Co-Facilitator for QTLC – Quantitative Teaching and Learning Community.
Team teaching Biostatistics with a colleague in Environmental Science. The course is designed as an interdisciplinary course that bridges statistics and biological phenomenon from the theoretical perspective with the aid of JMP (SAS for Windows) software.
Council of Undergraduate Research (CUR) – National Councilor for Mathematics and Computer Science Division - 2011 - 2014.
Developed and implemented a FORTRAN program for solving Integral equations. Currently working on extending the algorithms to the Radiosity equation and Helmholtz equation for the superellipsoid.
Fall 2013 Biostatistics
Spring 2014 Differential Equations
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