Raj Gunawardena

Raj Gunawardena is a Research Fellow at the Research Centre for Computational Science and Mathematical Modelling at the University of Sheffield. His work focuses on nonlinear dynamics, systems neuroscience, and energy harvesting technologies.

• PhD in Control Systems (University of Sheffield, 2019)
• M.Phil in Control Systems (University of Sheffield, 2014)
• MEng in Control Systems (University of Sheffield, 2014)

His research spans two major domains: systems neuroscience (applying nonlinear manifold learning to Alzheimer's disease characterization) and nonlinear dynamics in engineering (fault diagnosis in rotor-bearing systems and vibration energy harvester optimization). Recent work includes machine learning applications for EEG functional connectivity analysis and nonlinear system modeling in mechanical engineering.

Publications (2018-2024) highlight interdisciplinary work across neuroscience, energy engineering, and applied mathematics, with specific emphasis on Alzheimer's disease, nonlinear dynamics, and electromagnetic energy harvesting. Collaborations include cross-institutional work in computational science and biomedical engineering.