Skip to main

Centre for Smart Analytics

The Centre for Smart Analytics (CSA) aims to develop strategies for cost-effective technological, environmental and socio-economic processes to ensure growth and sustainability in regional Australia.

The Centre for Smart Analytics (CSA) – part of the Institute of Innovation, Science and Sustainability – comprises multidisciplinary teams that aim to support smart cities, regional ecosystems and the Australian Government’s digital economy strategy. Technology-driven solutions are a key part of lifting global competitiveness, boosting industrial productivity, strengthening national security and addressing societal challenges.

CSA projects focus on ways to optimise the use of water, energy and natural resources, safeguard Australia’s critical infrastructure and essential services against external and internal cyberattacks, and improve end-to-end product traceability in supply chain management. Teams collaborate with regional communities, government and industry partners, as well as researchers from national and overseas organisations.

CSA in action

Research streams

Sustainable Smart Cities and Regions
Identifies ‘smart’ services that will benefit a specific city or region and develops customised software tools and interfaces that enterprises can use to accelerate growth and productivity.
Securing Australia’s Cybersecurity Landscape
Develops computing that enables devices to connect to the network in a way that is simple, secure and cost-effective. Predicts and detects security breaches and responds to incidents.
Computational and Intelligent Mathematics
Applies optimisation methods and approaches to model and solve real-world problems in machine learning, artificial intelligence, bioinformatics and finance.
Knowledge-Based Smart Business
Explores digital finance and marketing, forecasting and data management to help businesses work more efficiently, improve performance and make smarter decisions. 

Research team

Professor Adil Baghirov (Leader)
Marco Antonio 
Associate Professor Andrew Barton
Dr Savin Chand
Dr Minh Dao
Phan Quoc Kha 
Professor Alex Kruger
Jíří Outrata
Dr Nargiz Sultanova
Dr Sona Taheri
Michel Théra
Associate Professor David Yost

Current projects

The Centre for Smart Analytics team built a robot to help protect rangers in African national parks, and it's about to get a major AI upgrade. Nearly $800,000 in new funding is taking GUS from remote-controlled to fully autonomous. Soon, GUS will be able to navigate tough terrain all by itself. From spotting koalas in Gippsland’s blue gum plantations to helping in military reconnaissance, emergency services, and agriculture, the possibilities are huge. 

Dr Jannatul Ferdush has developed a machine-learning application designed to detect fake news circulating on social media platforms. The system integrates content and comments from multiple platforms and analyses user interactions from diverse sources to provide a more comprehensive view of the information landscape. The process involves continually ‘feeding’ the machine-learning tool fake and real news, training the detection system to identify what is not real.

Completed projects

This project addressed grain traceability specific to the Australian export supply chain. The research team looked at key tests that benefit from automation and sensing technologies, platform functionality and commercialisation steps. They developed a blockchain-based digital traceability pilot platform that uses non-destructive sensing techniques and a quality decay model to track grain in the entire supply chain.

Research team:

  • Professor Shyh Wei Teng
  • Professor Manzur Murshed
  • Associate Professor Paul Pang
  • Dr Priyabrata Karmakar
  • Cuong Van Bui

The Enhanced System Planning (ESP) project was led and managed by C4NET and awarded $340,000 in funding. A team of researchers (including Associate Professor Gour Karmakar, Professor Joarder Kamruzzaman, Dr Rakib Shah and Professor Syed Islam) investigated future electricity demand and supply in Victoria under various what-if scenario analyses. They considered future EV uptake, transition to electricity from gas, and changes in demography and government policies. The aim was to provide stakeholders with the necessary knowledge and tools to make informed decisions in their business operations and future planning.

Funding

  • 2023: Enhanced System Planning Victoria (ESP-V) project, funded by Centre for New Energy Technologies (C4NET) ($340,000)
  • 2024: Research into multi-objective reinforcement learning to enhance the safety of advanced AI systems, funded by Founders Pledge, a UK-based charitable initiative ($127,000)

Research labs

Recent CSA news

Researchers take blockchain tech to grain exports
Read more
New research centre to find digital solutions for a prosperous future
Read more

Engage with us

We're keen to hear from:

  • HDR candidates looking for supervision
  • external researchers who would like to collaborate
  • organisations seeking consultancy services, commissioned research and evaluation or collaborative research partnerships.

Contact us

If you have any questions about CSA or would like to discuss engagement opportunities, please email joarder.kamruzzaman@federation.edu.au or a.bagirov@federation.edu.au.