Summary
Neranjaka Jayarathne is a Postdoctoral Research Associate with 11 years of experience applying applied mathematics and computational methods to intelligent systems and multi-agent control. He earned a PhD in Applied Mathematics from Texas Tech University for work on geometric mechanics and optimal control of visual sensor swarms, and was awarded the John T. White scholar award for mathematical talent. His current research at Clarkson’s C3S2, funded by the Office of Naval Research, explores deep autoencoders to expose low-dimensional geometries in complex dynamical systems, bridging theory and modern representation learning. A former lecturer and instructor across universities in Sri Lanka and the U.S., he combines classroom experience with hands-on algorithm development and practical system management (including campus Moodle). Known for clear analytical thinking and a penchant for mentoring, he often supports colleagues and students tackling challenging computational problems. He also pairs academic rigor with applied interests in autonomous systems, evidenced by a Self-Driving Car Nanodegree that complements his theoretical work.
11 years of coding experience
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Texas Tech University
High School, High School at Ananda College - Colombo 10
Self-Driving Car Engineer Nanodegree, Self-Driving Car Engineer Nanodegree at Udacity
Master's degree, Applied Electronics, Master's degree, Applied Electronics at University of Colombo