Dinuka Sewwandi De Silva Sobana Handi
Im a positive thinker, quick learner and an innovative researcher interested in solving problems in mathematical biology. Currently, Im developing a mechanochemical model for bleb-based motility together with efficient computational algorithms to clarify how cells translate chemical and mechanical cues into movement.
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Dinuka Sewwandi De Silva Sobana Handi was recognized for graduating
MS in Mathematics
Fall 2017 - Spring 2019 -
Added by Dinuka Sewwandi De Silva
Dinuka Sewwandi De Silva Sobana Handi was recognized for graduating
MS in Mathematics
Added by Dinuka Sewwandi De Silva
Dinuka Sewwandi De Silva Sobana Handi was recognized for earning an academic award
SANDA BRIGGS OUTSTANDING TEACHING ASSISTANT AWARD FOR MATHEMATICS -2022 at Department of Mathematics, Clarkson University, USA.
Added by Dinuka Sewwandi De Silva
Teaching Assistant at Clarkson University
Conducting discussion classes / lectures , grading exams ,projects
July 2019 - Present
A Model for Bleb Expansion Using Level Set Method
Here we are using level set framework coupled with mechanical models to simulate the cell shape changes and translocation during blebbing.
Conferences
A Bayesian approach to Model death rates to COVID-19 Around the World
Here we use the Bayesian statistical approach to estimate the empirical cumulative population death rate due to the coronavirus disease for different countries. According to the data obtain from WHO.org.
Classwork
Developing a composite score for prostate cancer prediction using logistic regression
Here we are training logistic regression models to develop composite scores of biomarkers for predicting whether a patient has a prostate cancer or not.
Research Projects
Modelling and Optimal Placement of Smoke Detectors using Fluent Simulations with Multi-objective Genetic Algorithms
Modelling and Optimal Placement of Smoke Detectors using Fluent Simulations with Multi-objective Genetic Algorithms
Others
Modelling The Equations of Planetary Motion and Their Solution
Here we derive the equations of planetary motion based on the assumption that the masses of the planets can be approximated to point masses and use MATLAB to model the planetary motion.
Classwork