UC researchers awarded $5 million for smart ideas
University of Canterbury researchers have been the most successful of all the New Zealand research institutes and
universities in the MBIE Smart Ideas investment process, with five new scientific research projects awarded $5 million
The UC-led initiatives span a range of areas, from developing a battery to directly capture and store solar energy on a
large scale at low cost, to developing a genomics approach to select the best individuals to improve conservation
efforts via captive breeding programmes.
UC Smart Ideas initiatives 2016:
Solar energy capture and store, project leader Aaron Marshall, Chemical and Process Engineering, College of Engineering:
The capture, storage and recovery of renewable solar energy are major global challenges. This research will develop a
solar redox flow battery that could meet these challenges, by directly capturing and storing solar energy on a large
scale at low cost.
Autonomous Forest Pruning and Data Collection, project leader Richard Green, Computer Science and Software Engineering, College of Engineering:
Over 50% of New Zealand forests are too rugged for a land vehicle-based automatic pruning solution. The goal of this
research is to develop a drone capable of autonomously pruning plantation forests.
High temperature electrolytic titanium extraction from waste slag, project leader Matthew Watson Chemical and Process Engineering, College of Engineering:
The waste slag produced by NZ Steel is rich in titanium (Ti). If this Ti could be extracted from the slag, about 37,000
tonnes/year of titanium (Ti) metal could be produced, generating in excess of $700 million in annual revenue. The goal
of this research is to explore ultra-high-temperature electrolytic separation of Ti from NZ Steel waste slag.
A neuromorphic computer chip: computational hardware that works like the brain, project leader Simon Brown, Physics and Astronomy, College of Science:
Neuromorphic devices mimic the behaviour of the networks of neurons in the brain, using nanoscale switches that emulate
synapses. These devices learn from their inputs, providing functionality that is difficult to implement even in software
implementations of neural networks. Computers built from neuromorphic devices are expected to be far superior to
standard computers in some tasks e.g. image recognition. Having discovered neuromorphic behaviour in simple devices
composed of randomly deposited nanoparticles, this research aims to demonstrate the commercial potential of this
technology by building and optimising a next generation of more sophisticated devices.
Maximising genetic diversity in endangered species, project leader Tammy Steeves, School of Biological Sciences, College of Science:
For the recovery programmes of the 400+ species captive bred for release to the wild, including more than 20 such
programmes in New Zealand, the most common question asked is: How can we choose the ‘best’ individuals for captive
pairing to ensure species have sufficient genetic diversity to adapt to environmental change? This research will develop
a forward-thinking, cost-effective and rapid conservation genomics approach that will help conservation managers of
poorly-pedigreed populations to make captive pairing decisions.
UC researchers are also involved in a number of bids led by other organisations for new scientific research programmes,
part of the MBIE’s Research Programme investment process.
Funding of over $26 million will be invested in idea-driven research through the Smart Ideas investment process. Smart
Ideas initiatives catalyse and rapidly test promising, innovative research ideas, and contracts are awarded for two to