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

joarder.kamruzzaman@federation.edu.au

Name

Expertise

Professor Manzur Murshed (Co-leader)

Multimedia signal processing, video coding & compression, Internet of Things, machine learning

Professor Joarder Kamruzzaman (Co-leader)

Distributed computing, Internet of Things, machine learning, data analytics

Professor Guojun Lu

Multimedia signal processing, machine learning

Associate Professor Shyh Wei Teng

Multimedia signal processing, Internet of Things, machine learning, data analytics

Associate Professor Gour Karmakar

Distributed computing, Internet of Things, machine learning, data analytics

Associate Professor Andrew Stranieri

Machine learning, data analytics

Associate Professor Andrew Barton

Internet of Things in water applications

Associate Professor Feng Xia

Big data analytics, machine learning

Associate Professor Sisira Colombage

Business intelligence, IT in corporate finance

Dr Gayan Appuhamillage

Mechatronics, Internet of Things, machine learning

Dr Gopi Chattopadhyay

Intelligent asset management, Internet of Things

Dr Venki Balasubramanian

Distributed computing, Internet of Things, machine learning

Dr Tanveer Choudhury

Internet of Things, machine learning. Mechatronics

Dr Adrian Shatte

Multimedia signal processing, machine learning

Dr Daniel Nguyen

Machine learning, financial forecasting

Dr Savin Chand

Applied mathematics, machine learning

Dr Suryani Lim

Machine learning, emerging technologies, blockchain

Dr Muhammad Imran

Internet of Things, mobile and wireless networks, cloud/edge computing

Dr Kathleen Keogh

Internet of Things, agent-based learning

Dr Giles Oatley

Biosensors, machine learning

Dr Jiangang Ma

Big data analytics, multimedia signal processing

Dr Minh Dao

Multimedia signal processing, machine learning

Dr Azadeh Noori Hoshyar

Multimedia signal processing, machine learning, agile software

Dr Manoj Khandelwal

Machine learning applications

Dr Nathan Robinson (Associate)

Agro-sensors, rapid sensing techniques in soil, soil data analytics

Associate Professor Peter Dahlhaus (Associate)

Agro-sensors, geoinformatics, hydroinformatics, federated data

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.