DrNiroshinie Fernando
Senior Lecturer, Software Engineering
Faculty of Science Engineering and Built Environment/School of Information Technology
- Senior Lecturer, Software EngineeringFaculty of Science Engineering and Built Environment/School of Information Technology
- +61 3 924 68160 (Work)
- Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125
BIO
Dr Fernando is an expert in the areas of Internet of Things (IoT) and Software Engineering, with a research focus that bridges technical innovation and societal impact. Her work spans pervasive and distributed computing, Internet of Things (IoT) systems, and the integration of intelligent technologies into real-world applications.
With over $1.35 million in research funding and more than 3,000 citations to date, Niroshinie has led projects resulting in commercialised outcomes beyond the contribution to academic research.
Research Groups
* Software Engineering and Innovation Centre (SEIC)
* Centre for Internet of Things ECOsystems Research and Experimentation (CITECORE)
Opportunities:
Dr Fernando is open to supervising PhD students and collaborating with academic and industry partners on projects in:
- Distributed and mobile edge computing
- Adaptive and inclusive IoT systems
- Smart environments (homes, cities, industries)
- Human-AI/robot interaction
- Applied AI/ML in embedded and real-time systems
- Technology for social inclusion and accessibility
- Quantum Computing
In the classroom, she has played a leadership role in high-enrolling undergraduate and postgraduate units and is actively involved in curriculum development. She currently serves as the Course Director for the Master of Technology and Innovation Leadership (MTIL) Course.
DEAKIN UNIVERSITY CURRENT APPOINTMENT
- Senior Lecturer, Software EngineeringDeakin University, School of Information Technology
DEGREES
- Doctor of PhilosophyLa Trobe University
FIELDS OF RESEARCH
- Distributed computing and systems software
- Software engineering
- Data management and data science
- Human-centred computing
- Pervasive computing
- Artificial intelligence
- Social robotics
- Machine learning
- Energy-efficient computing
- Mobile computing
- Quantum computation
- Integrable systems (classical and quantum)
- Cloud computing
- Stream and sensor data
- Cyberphysical systems and internet of things
- Digital health
AVAILABILITY FOR SUPERVISION
- Masters by Research and PhD supervision
AREA/FACULTY
- Faculty of Science Engineering and Built Environment
DEPARTMENT/SCHOOL/INSTITUTE/DISCIPLINE
- School of Information Technology