Kahandawa, Gayan (A/Prof)
Position: | Associate Professor |
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Discipline: | Engineering |
Phone: | 03 5122 8612 |
Email: | g.appuhamillage@federation.edu.au |
Research interests
- Mechatronic systems
- Sensors and signal processing
- Artificial intelligence
- Mobile robot navigation
- Instrumentation
- Structural health monitoring
Short biography
Dr. Gayan Kahandawa, is an expert in mechatronics, sensors, and artificial intelligence (AI). His PhD research yielded an AI-based aerospace structural health monitoring innovation for Boeing Aircraft, leading to the acquisition of a coveted US patent. Currently, Dr. Kahandawa is leading research initiatives encompassing AI-driven machine vision for automation and robotics, AI-centric data processing, cutting-edge sensor technology, and AI-enhanced condition monitoring. He published an edited book “Structural Health Monitoring and Next-Generation Smart Composite Structures” on aerospace structures.
His prolific research output includes the publication of over 70 research papers, with a notable citation count exceeding 600. In addition, he holds four patents and has successfully secured research grants exceeding A$2.6 million to further advance his contributions to the field.
Projects
- AI-based conversion of unrecyclable waste into engineered building products. CRC-P ($215,000)
- Protecting vulnerable road users from turning semi-trailers using the virtual rail concept. Road Safety Innovation Grant ($194000)
- Improving safety for bus passengers using wheelchairs and mobility scooters: Effectiveness of restraint systems, Department of Transport, Victorian Government ($667,000).
- Connected Brake pads and shoes – Innovations Connections Grant ($200,000)
- Monitoring of West gate Bridge using Fiber Optic Sensors, Co-investigator, Funded by VicRoads, Victorian Government ($32744).
- Structure Health Monitoring of Advanced Aerospace Structures using embedded FBG sensors. Principal investigator, Funded by the Boeing Company, USA, United States Patent No: 20130268471
- Ground Unmanned System (GUS) robot, Outlook Industries
- Bio Diesel from Calophyllum species, Co-researcher, Collaborative project funded by Central Queensland University and Uva Wellassa University
- Real-Time Koala Detection Using AI for Sustainable Timber Harvesting, PF Olsen ($175,000)
- Robotics for Baby Broccoli Harvesting and Farm Automation, Bulmer Farms
- Evaluation of UV-C light as a viable source to control selected submersed aquatic weeds in the Macalister irrigation district, Southern Rural Water
Qualifications
- Doctor of Philosophy – University of Southern Queensland 2013
- Master of Science – University of Moratuwa, Sri Lanka 2009
- Bachelor of Science in Engineering - University of Peradeniya, Sri Lanka 2005
Teaching areas
- Mechanics
- Mechanisms and Machine Theory
- Fluids and Pneumatic Control (PLC)
- Mechatronics Components Design
- Intelligent Mechanisms Design
- Industrial Robotics Systems