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Dr. Lasi Piyathilaka

BScEng (Hons) (Moratuwa), MPhil (Moratuwa), PhD (UTS)
Discipline Lead - Industrial Automation  / Senior  Lecturer
School of Engineering and Technology
Coastal Marine Ecosystems Research Centre
Mackay Ooralea
B24 - 1.27
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About Me

Dr Lasitha Piyathilaka is a Senior Lecturer in Engineering at Central Queensland University, the Discipline Lead for Industrial Automation, and the Research Cluster Leader of the Mechatronics Research Group within the School of Engineering and Technology. He holds an undergraduate degree in Electrical Engineering and an M.Phil in Robotics from the University of Moratuwa, Sri Lanka, and a PhD in Robotics from the University of Technology Sydney, Australia.

Dr Piyathilaka’s research focuses on field robotic systems, autonomous sensing platforms, and machine intelligence for environmental monitoring and agricultural applications. His work spans robotic design, perception systems, machine learning–enabled sensing, and intelligent automation architectures. He has led and contributed to multiple high-impact applied research programs in collaboration with industry, government, and research partners.

He has secured major competitive funding, including a significant Australian Economic Accelerator (AEA) grant for the development of an intelligent and adaptable weed management robotic system, as well as an Innovation Connections grant, which enabled the development and successful deployment of an underwater robotic cleaning system. His earlier work at the University of Technology Sydney on robotic inspection systems for water and sewer pipelines received national recognition, winning both the National and NSW Research Innovation Awards from the Australian Water Association.

Dr Piyathilaka has established a strong research presence in robotics and automation at CQUniversity. His current work integrates robotics, automation, sensing technologies, and AI to develop scalable solutions for environmental restoration, agricultural automation, and industrial asset monitoring.  He has extensive teaching experience and contributes to curriculum innovation in Mechatronics and Industrial Automation, embedding cutting-edge technologies such as AI, advanced sensing, and autonomous systems into engineering education.

General
Awards

  • Student Voice Commendation and was the runner-up in the Voice Awards 2022
  • Outstanding research paper award at the 2023 International Conference on Advancements in Computing (ICAC 2023)
  • Runner-up for Best Paper at the 2021 International Conference on E-Learning in Industrial Electronics (ICEI 2021)
  • National Research Innovation Award 2020 (Team Award), Australian Water Association
  • New South Wales Research Innovation Award 2020 (Team Award), Australian Water Association
  • Highly Commended Prize, Best Applied Engineering Project 2019 (Team Award), IESL, 2019
  • IPRS: 2012 International Postgraduate Research Scholarship (IPRS) awarded by the Australian Government Department of Industry and Innovation
  • APA: 2012 Australian Postgraduate Award (APA) awarded by the Australian Government Department of Industry and Innovation for the PhD studies

Professional Memberships

  • Member: IEEE
  • Member: IEEE Robotics and Automation society
  • Member: IEEE Sensor Council
  • Member: IEEE Instrumentation Societ

Research Supervision
Accreditation

I am currently accredited for supervision in the following:

  • 4009 Electronics, sensors and digital hardware
  • 4602 Artificial intelligence
  • 4611 Machine learning

Current Capacity
I am currently available to supervise more research candidates
Complete Supervision
Master of Research
Development of an Exoskeleton to Assist Citrus-Picking
Associate Supervisor
Research Interests
Engineering

Control engineering, mechatronics and robotics - Field robotics

Engineering

Electrical and Electronic Engineering - Control Systems, Robotics and Automation

Engineering

Electrical and Electronic Engineering - Industrial Electronics

Engineering

Mechanical Engineering - Automation and Control Engineering

Publications
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Teaching
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