Bhathiya Rathnayake
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Welcome to My Corner!
I’m currently a PhD candidate in the Department of Electrical and Computer Engineering at UC San Diego, majoring in Intelligent Systems, Robotics, & Control, guided by Professor Mamadou Diagne. During the summer of 2024, I engaged in a remote internship at Los Alamos National Laboratory, where I worked on estimation & control of gas flow in pipelines. Before landing at UCSD, I earned my MS in Computer & Systems Engineering from Rensselaer Polytechnic Institute in 2022 and my BSc in Electrical & Electronic Engineering from the University of Peradeniya, Sri Lanka back in 2017. brm222@ucsd.edu LinkedIn · Google Scholar · InSyNC · ECE · UCSD |
Research Interests
- Currently, I am seeking research opportunities in areas such as power system networks, automated vehicles, and continuum robotics. I aim to apply system modeling, control theory, and data-driven techniques to address challenges including decentralization and safety in modern power systems, where hybrid and nonlinear phenomena are ubiquitous; safe, collision-free navigation and adaptability to diverse road geometries in automated vehicles; and challenges related to underactuation, task-space control, and path planning in continuum robots.
Past & Ongoing Research
- During my PhD research, I developed sampled-data and event-triggered control approaches for PDE systems using PDE backstepping. These approaches have applications in various domains, including battery thermal management, additive manufacturing, traffic flow control, and water flow control. Some key highlights of my research include:
- The first periodic event-triggered control approach with PDE backstepping
- The first self-triggered control approach with PDE backstepping
- Sparsification of event generation using the concept of a performance barrier
- The first global exponential stability result under dynamic event-triggered control with PDE backstepping
- The first event-triggered control design (full-state feedback) with PDE backstepping that requires only event-triggered measurements for the triggering mechanism
Education
- PhD in Intelligent Systems, Robotics, & Control (expected), University of California San Diego, Advisor: Prof. Mamadou Diagne
- MS in Computer & Systems Engineering, Rensselaer Polytechnic Institute, 2022
- BSc in Electrical & Electronic Engineering, University of Peradeniya, 2017