Rukshan Wijesinghe

Conducted research and development of machine-learning-driven solutions, contributed to AI research initiatives and software pipelines, and worked on practical machine learning and AI development activities.

Led AI projects focused on autonomous navigation and intelligent systems, developed and optimized AI solutions for edge-computing devices, and contributed to computer-vision applications including face recognition and number-plate recognition.

Delivered undergraduate modules in Electromechanical Machine Design, Robotics Engineering, Robotics and Flexible Automation, Industrial Control Systems, and Intelligent System Design and Control. Served as Program Lead for Mechatronics Engineering, overseeing academic operations and quality assurance.

Delivered undergraduate lectures in Electronic Circuits and Praxis 1 within the Mechatronics Engineering program.

Conducted tutoring, laboratory instruction, practical-session design, demonstration, and evaluation across mathematics, programming, electrical/electronic engineering, mechanics, and digital systems.

Designed, demonstrated, and evaluated undergraduate laboratory sessions in electrical drives, power-system protection, and insulation coordination.

PhD in Electronic and Telecommunication Engineering. Thesis defense completed in 2026, with graduation scheduled for December 2026.

Grade: Second Upper

B.Sc. of Science of Engineering (Second Upper) from the Department of Electrical Engineering.

Grade: Distinction

Technician Diploma in Electronic Engineering with Distinction.