IoT Platforms and Applications Lab (PAL) carries out world class research, development and experimentation on IoT middleware, platforms, services, systems and algorithms, forming the basis for innovative solutions to today’s most pressing problems. CITECORE PAL focusses on IoT platform benchmarking; Large-scale IoT systems performance and scalability; IoT-enabled context-awareness and reasoning enterprise-wide; IoT  device, data, semantics and context discovery; Real-time machine  learning, analytics and AI for IoT; Context-aware IoT security; Blockchain-enabled IoT for SLAs; Context-aware IoT systems in  fog/edge computing; IoT Service-Oriented Context-Aware Systems with  Nature-Inspired Learning and Adaptation Strategies; IoT-enabled Multi- sensor Fusion with Feeds from Social Media Data Streaming; Swarm robotics as IoT actuating arm; Distributed goal reasoning for dynamic IoT; Cooperative IoT; Big IoT Systems-as-a-Whole Perspectives; Platforms/Middleware for Cooperative IoT; How Things Things/Devices  Can Cooperate; Cooperation in Mobility; Cooperation in Robot  Societies; Machine Learning in Collections of Cooperating Things.

Contacts:
Professor Arkady Zaslavsky,  [email protected]
Professor Seng W.Loke, [email protected]

 

Background

 

The Internet of Things (IoT) is a massively distributed system which incorporates many billions of “things” where things can sense, communicate, compute and actuate. The IoT provides seamless interaction between the digital and physical worlds and is at the convergence of autonomous systems, pervasive computing, artificial intelligence, machine learning, mobile computing, sensor informatics, sensor middleware, big data analytics, robotics, RFID technology just to name a few.  A recent Gartner report (2017) identified IoT as a major disruptive technology, and IoT has already started to permeate and transform many Deakin University disciplines, eg, manufacturing, agriculture, bio-security, energy, marine sciences, advanced materials, environment, defence, etc, wherever sensing, actuation, sensor information processing, discovery of sensors & data, real-time decision support are involved. A recent forecast made by the International Data Corporation (IDC) projects Internet of Things (IoT) and the associated ecosystem to be an $8.9 trillion market by 2020 and include 212 billion connected things. The IoT will fuel a paradigm shift of a “truly connected” world in which everyday objects become inter-connected and smart with the ability to communicate many different types of information with one another. IoT will be a major source of big data and enable robust, dependable, near real-time business analytics and intelligence. According to a recent forecast report from Forbes[1], IoT is ranked as the most important technology even more than artificial intelligence and robotics among others. According to Australian Computer Society report, “Australia’s IoT Opportunity: Driving Future Growth”[2], there will be between 20 and 80 billion IoT devices connected by 2020 and the total IoT spending around the world is estimated to reach US$1,136bn by 2021. In Australia, it is estimated that IoT can potentially achieve a value of A$308bn. While IoT ecosystems and technologies have been identified as a key driver of Digital Transformation strategy around the world, a report released by Australian Department of Industry, Innovation and Science (DIIS) (“Australia’s Tech Future”[3] , ) identified IoT as one of the pillars of Australia’s tech future. These studies clearly exemplify the importance of IoT and its domination across every sector in the next decade. Furthermore, the DIIS report highlights the importance of building capacity and creating the next generation of workforce in technologies such as Internet of Things, which is the most important mission of Deakin University.

IoT Platforms and Applications Lab (PAL) is an integral part of CITECORE centre and addresses challenges of IoT middleware, platforms, tools, services, applications and systems.

 

[1] https://www.forbes.com/insights/intelligent-world-the-state-of-the-iot/#111db715b0d6

[2] https://www.acs.org.au/content/dam/acs/acs-publications/ACS-PwC-IoT-report-web.pdf

[3] https://www.industry.gov.au/sites/default/files/2018-12/australias-tech-future.pdf

 

Membership

Primary & Secondary Members

IoT Platforms and Applications

Directors: Seng Loke and Arkady Zaslavsky

Primary members

Seng Loke

Arkady Zaslavsky

Justin Rough

Iynkaran Natgunanathan

Sasan Adibi

Jan Carlo Barca

Michael Hobbs

Alireza Hassani (new)

Alexey Medvedev (new)

Amin Bakhshandeh- abkenar  (casual RA)

Atul Sajjanhar

Secondary members

Anuroop Gaddam

Thanh Thi Nguyen

Robert Dew

Chandan Karmakar

Frank Jiang

Sutharshan Rajasegarar

Niroshinie Fernando

Jonathan Kua

Research Capacity

 

School of IT has accumulated a significant critical mass in IoT R&D. Research interests of PAL members align with the CITECORE, School of IT, Faculty of SEBE and Deakin University research strategy and include:

• IoT in the cloud, fog, edge computing
• IoT data load balancing in edge computing
• Cooperative IoT
• How Things Things/Devices Can Cooperate
• Cooperation in Mobility
• Cooperation in Robot Societies
• Machine Learning in Collections of Cooperating Things
• Secure and Ethical Cooperation
• Open marketplace for IoT data and services
• Building IoT ecosystems from existing and future IoT silos
• IoT interoperability at semantic, technical, organisational levels
• IoT platforms and middleware
• IoT and big data
• Real-time AI over IoT data streams
• IoT-enabled participatory sensing and crowdsourcing
• Context-aware IoT
• Software Engineering of IoT systems
• IoT actuation, robotics, swarm robotics
• Embedded and machine intelligence in IoT applications

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