Personal profile

Biography

Dulan Perera is an Assistant Lecturer in the Department of Human-Centered Computing within the Faculty of IT at Monash University. With a PhD in Biomedical Engineering, his expertise spans real-time data processing, control systems engineering, and intelligent automation solutions. His research interests include driver distraction analysis using EEG, health informatics, and IT / engineering education.

Dulan has previously worked as a Teaching Associate at Swinburne University and Monash University. He played a key role in coordinating the FIT Honors and Masters programs across multiple campuses. He has contributed to the development of the NIBM degree program and the Swinburne University ENG20009 Labs activities, highlighting his commitment to both academic excellence and practical education.

Beyond academia, he has extensive experience in factory automation and PLC programming, having worked as a Project Manager and R&D Engineer at Planet T&S in Thailand. He specializes in Siemens PLC-based automation systems, with additional exposure to Allen Bradley FactoryTalk and Schneider EcoStruxure. His skill set includes systems analysis, mechanical design (AutoCAD), procurement management, and team leadership.

Dulan's interdisciplinary approach integrates data science, usability studies, and industrial automation, making him well-suited for research in health informatics, human-computer interaction, and smart automation systems.

Education/Academic qualification

Biomedical Engineering, doctor of philosophy, Computational Intelligence for Distracted Driving Detection, Swinburne University of Technology

20192024

Award Date: 13 Jun 2024

Mechatronics, Master of Engineering, Development of a Helicopter Flight Simulator, Asian Institute of Technology

20132015

Award Date: 25 Aug 2015

Mechatronics , Bachelor of Science in Engineering (hons), Development of a Training Treadmill for the Exoskeleton users, Asian Institute of Technology

20092013

Award Date: 22 May 2013

Research area keywords

  • Biomedical Engineering
  • EEG
  • Distracted driving
  • machine learning
  • AI and data science
  • Signal Processing
  • Factory Automation
  • Health Informatics