
B.Sc. Eng. (Hons) — Specialized in Electrical & Electronic Engineering
Focused on embedded systems, computer vision, and machine learning. Final year project on medical image analysis.
• I work as a Lecturer & researcher in Computer Engineering — working on Image Processing, AI and robotics.
• I also volunteer in Humanitarian Activities, Climate and Sustainablility, Pre-University STEM Education.
I’m Lakshan Madhushanka, an Electrical and Electronic Engineer turned Lecturer in Computer Engineering with a deep passion for Artificial Intelligence, Robotics, and Intelligent Systems. I graduated from the Faculty of Engineering, University of Peradeniya, where I specialized in Communication, Power Systems, and Advanced Control Systems.
Currently, I serve as a Lecturer at the University of Sri Jayewardenepura, where I contribute to research at the AI and Biomedical Engineering Research Group, focusing on intelligent healthcare systems and medical imaging.
My work has been nationally recognized with awards including the Silver Medal from the Sri Lanka Inventors Commission, the Eng. E.W. Karunarathna Award from the Institution of Engineers, Sri Lanka, the W.P. Jayasekara Prize for the best undergraduate project in Electrical and Electronics Engineering, and the Prof. Suhada Jayasuriya Scholarship Grant for the best Robotics and Control project.
Beyond academia, I am an active IEEE volunteer at section, regional, and global levels, having served with IEEE HTB, IEEE Region 10 SAC, and the IEEE Sri Lanka Section. I was honored as an IEEE STEM Champion in 2023 and received the IEEE Sri Lanka Section Outstanding Volunteer Award (Student Category) in 2022.
Focused on embedded systems, computer vision, and machine learning. Final year project on medical image analysis.
Physical Science Stream
Best results of the school after 1972.
Teaching computer engineering courses; supervising student projects; research in medical imaging and AI.
Built edge‑AI CV pipelines on NVIDIA Jetson and Raspberry Pi; deployed real‑time inference systems.
Recognized for contributions to student engagement and outreach activities.
Awarded for an innovative medical imaging project using deep learning on OCT.