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NSW Smart Sensing Network (NSSN)DR ANTHONY MORFA
Business Development Manager, NSW Smart Sensing Network
Ben Eggleton: Nanophotonicsand phononics
Justin Gooding: Surface chemistry & biosensors
Mary O’Kane Chief Scientist and Engineer
How can we better prepare the NSW societyand economy for the upcoming IoT and i4.0revolutions?
Peak
Bod
ies
Indu
stry
Connect Unis to Industry & GovernmentG
over
nmen
t
Focused on NSW
The network comprises:SIX universities
With the mandate to:Perform commissioned research forpublic and private sectors and new businesses
The University of NewcastleThe University of Sydney, UNSW, Macquarie University, UTSUniversity of Wollongong
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Ultralow Limits(water sensing)
New Processes(UV monitors)
Machine Learning(wildlife monitoring)
New Materials (wearables)
We need your expertise to solve diverse challenges.
EnviroTech& AgTech
EnvironmentalMonitoring
Plant Health
Animal Health
Quality Assurance
Provenance/Origin
Harvest Efficiency
NSSN Themes& Subthemes
MedTech
Precision Healthcare
Quality of Life
Chronic Care
PersonalizedMedicine
AutomatedDiagnosis
BuiltEnvironment
Structural Integrity
Air Quality
Smart Services
Infrastructure Maintenance
Dynamic Transport
Resources &Energy
AutonomousVehicles
Remote (Subsurface)Internet/Sensing
DiagnosticMaintenance
Smart Ventilation
Remediation Monitoring
Manufacturing
Predictive Maintenance
In-line QC
Safe Data
SmartWarehouses
Data Communication
What are the benefits of being active in the NSSN?1) Access to unique project and funding opportunities with government and industry2) Opportunity to collaborate with new researchers from different disciplines3) Networking events, including with government and industry:
a) Workshops on themed areasb) ‘Sandpits’ with government and industry partnersc) NSSN member events
How does the NSSN work for you?
The NSSN staff actively scout
government and industry contacts for sensing challenges
Opportunities are shared on our
internal webpage & via Theme Leaders to acquire proposals from the Network
After end-user consideration, a
comprehensive project proposal is agreed to
and sent to universities for contracts
Funds are made available and the
project begins
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Case study: Sandpit
Sydney Water approached the NSSN to help solve pressing
challenges in delivering Sydney Water’s mission
The NSSN is bringing together
sensing experts from seven universities to
pitch solutions to these challenges
Six proposals will be drafted (2
short, 2 medium and 2 long term solutions) to
be sent to Sydney Water
Selected proposals will be
funded and begun
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$
Case study: R&D
The OEH approached the
network with a sensing need.
In July ‘17 a solution was pitched to
the OEH by researchers at the
University of Sydney.
One of three milestones are
complete, with the second milestone
underway.
The initial project is expected to finish in Q3 ’18, with additional
projects under discussion.
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‘Busy’ Research EnvironmentFederal government-funded
research and centres
Federal government-funded, industry-led
centres
Peak body-funded research grants
NSW-funded research network
via BDMsTheme Leaders
to Researchers, First Points of Contact, Heads of School, Etc.
NSSN Communication
NSSN NetworkingMeeting researchers, making a rough map of expertise
Commissioned Project EnquiriesRequesting information about capabilities for project enquiries
Workshop Development and InvitationsUnderstanding the needs for NSW-based thematic workshops, invite to workshops in preparation
Website UpdatesAs enquiries are finalized and posted online, updates will be sent to researchers
NSSN Website Navigation
NSSN Website Navigation
In a private members’ area of our website, we share opportunities with researchers. These opportunities can be anything from:
companies looking to prove their technologies in the real world, to
organisations looking for experts to join their boards, to organisations needing R&D that they cannot perform in
house
These opportunities will have listed deadlines and will require at most, a short proposal.
Project Proposals
We collect information from the end-users and build it into a consistent framework.
If the project is of interest to you, contact the Network, we would discuss personnel, budget and time requirements and work with the end user to develop a mutually beneficial
Current & Recent Opportunitiesis a Brisbane-based start up that produces agricultural sensors and is looking for a local researcher for a field study/demonstration
is a Finnish-based multinational that produces pipe and conduit for water and HVAC applications, they are looking to install their equipment in a local test building
is an NCRIS funded, Australia-wide, research network that monitors the Australian environment, they are looking for machine learning methods to count species and environmental monitoring sensors and equipment
is a Sydney-based accelerator and incubator that is looking for participants to join itsGrowLab program, and for new technological opportunities to share with its network
is the water, wastewater, recycled water and some stormwater service provider for over 5 million people. It recently asked the NSSN to host a ‘sandpit’ where industry challenges were presented and solutions discovered
What’s Next?
Sign up for the website to get updates and access to opportunities• Email [email protected] with questions
Propose solutions to end-user’s challenges
Or suggest new ways that the Network can work for you.
Stay ConnectedFeel free to stay engaged, you are welcome to contact:
Dr. Anthony Morfa
Room 308, A28 Physics Building | The University of Sydney | NSW | 2006+61 2 8627 7007 (office) | +61 401 954 975 (mobile)[email protected] | | nssn.org.au
Questions?
Working with the NSSN:Process Approximate time*
Initiate discussions, Define problem, Share with network (all universities), Receive proposals (incl. approximate costs)
< 6 months
Selection of project, Definition of milestones,Arrange contracts
2-4 months
Project commences between partner and NSSN (timeframe agreed upon by partners)Hiring of staff (with NSSN assistance if needed),Acquisition of materials 1-6 months
NSSN follows up with partner,NSSN follows up with researchers ongoing
Internal & external reporting (supported by NSSN) ongoing
Our Structure
Board
Co-Directors
Members’ Committee
Chief Operating Officer
Project Administration
Business Development
Technical Theme Leaders
Machine LearningIn Nov. 2016, the National Parks Association indicated Koala populations are in decline. The Chief Scientist and Department of Industry engage with the NSSN to develop a simple solution to sense koalas.
Two Objectives were agreed upon: use machine learning to 1) detect koala bellows and 2) accurately identify individual koalas.
Outcome: Machine learning algorithm was developed that correctly identified 87% of koala bellows, with 89% false positives rejected. Additional work with images also correctly identified individual koalas.
Log Audio Detect koala calls
Manually filter false positives Use data
Printed WearableThe Convergent Bio-Nano Science and Technology (CBNS) and NSSN jointly developed a printed UV exposure sensor with food grade materials. Ideally, by using such sensors, families can limit their unhealthy UV exposure.
Two Objectives were agreed upon: to produce a 1) simple to fabricate UV exposure sensor that is also 2) inexpensive.
Outcomes: An inkjet printed sensor was developed, tailor made to respond under normal solar irradiance.
Luminosity Innovations has been founded by Stewart Hay to commercialize this technology
With funding from the NSSN and Organization for Prohibition of Chemical Weapons, a new inexpensive device, based on ion mobility spectroscopy (IMS) is under development to quickly detect chemicals in the field.
Two Objectives were agreed upon: to 1) develop a portable chemical sensor with 2) the ability to separate and detect different chemicals (specifically PFAS, PFOA and PFCs).
Outcome: A low power (< 1 µW) consuming device has been developed that can selectively ionize PFOA. Two surface coatings have been developed to extract PFAS from water with the result that a $50 device can function for up to 50 hours on a 9 V battery. To date, detection limits in the low parts per billion range have been achieved.
Chemical Remediation