Sustainable Smart Cities and Regions
This research stream identifies and prioritises ‘smart’ services that will benefit a specific city or region and optimises computing infrastructure design to deliver them reliably and securely.
A major research push is artificial intelligence (AI) techniques to acquire, manage, and analyse data with machine learning techniques for smart specialisations and to advance AI capability of Australian industries by strategically aligning with the national and state AI initiatives.
This stream seeks to develop and commercialise customised software tools and interfaces that will allow small-to-medium enterprises to seamlessly integrate smart services into their own businesses to accelerate growth and productivity.
Research on next-generation intelligent sensors and systems in the light of the challenges faced by regional Australia (e.g., drought, water shortage) is directed toward remote monitoring, managing and optimising resources for sustainable communities.
Research stream leaders
Professor Manzur Murshed
manzur.murshed@federation.edu.au
Professor Joarder Kamruzzaman
Name | Expertise |
|---|---|
Dr Gayan Appuhamillage | Mechatronics, Internet of Things, machine learning |
Dr Venki Balasubramanian | Distributed computing, Internet of Things, machine learning |
Associate Professor Andrew Barton | Internet of Things in water applications |
Dr Savin Chand | Applied mathematics, machine learning |
Dr Gopi Chattopadhyay | Intelligent asset management, Internet of Things |
Dr Tanveer Choudhury | Internet of Things, machine learning. Mechatronics |
Associate Professor Sisira Colombage | Business intelligence, IT in corporate finance |
Associate Professor Peter Dahlhaus (Associate) | Agro-sensors, geoinformatics, hydroinformatics, federated data |
Dr Minh Dao | Multimedia signal processing, machine learning |
Hasitha Hewawasam | Internet of Things, robotics, machine learning |
Dr Muhammad Imran | Internet of Things, mobile and wireless networks, cloud/edge computing |
Professor Joarder Kamruzzaman (Co-leader) | Distributed computing, Internet of Things, machine learning, data analytics |
Associate Professor Gour Karmakar | Distributed computing, Internet of Things, machine learning, data analytics |
Dr Kathleen Keogh | Internet of Things, agent-based learning |
Dr Manoj Khandelwal | Machine learning applications |
Dr Suryani Lim | Machine learning, emerging technologies, blockchain |
Professor Guojun Lu | Multimedia signal processing, machine learning |
Dr Jiangang Ma | Big data analytics, multimedia signal processing |
Associate Professor Sean Müller | Expert perception, cognition, action, and skill learning |
Professor Manzur Murshed (Co-leader) | Multimedia signal processing, video coding & compression, Internet of Things, machine learning |
Dr Daniel Nguyen | Machine learning, financial forecasting |
Dr Azadeh Noori Hoshyar | Multimedia signal processing, machine learning, agile software |
Dr Giles Oatley | Biosensors, machine learning |
Dr Nathan Robinson (Associate) | Agro-sensors, rapid sensing techniques in soil, soil data analytics |
Dr Adrian Shatte | Multimedia signal processing, machine learning |
Associate Professor Andrew Stranieri | Machine learning, data analytics |
Associate Professor Shyh Wei Teng | Multimedia signal processing, Internet of Things, machine learning, data analytics |
Associate Professor Feng Xia | Big data analytics, machine learning |
For queries about CSA’s research, or to discuss collaborating or researching with us, get in touch with the Centre Directors via the Contact page.