National recognition for Murdoch’s IT discipline

September 22, 2016

The team working on the Radiology Assistant Simulator are students from the Game Technology major

The team working on the Radiology Assistant Simulator are students from the Game Technology major

Murdoch University has demonstrated its dominance in Information Technology (IT) education with major recognition on the national stage.

Murdoch IT students and an alumnus collected a bundle of the national iAwards held in Melbourne, receiving national prizes for their innovative development of high quality information and communication technologies (ICT).

The National iAwards, which are run by the Australian Information Industry Association (AIIA), recognise and reward the ICT innovations with the potential to make a positive impact on a local or a global scale.

A radiology assistant simulator and stroke recovery tool developed by Murdoch University students received merit certificates in the Undergraduate Tertiary Students Award category, with Murdoch IT graduate Matthew Schneider winning two major iAwards.

“To see Murdoch University students showcase their work on the national stage was not only fantastic for the students, but wonderful recognition for the calibre of Murdoch’s IT discipline,” said Associate Professor Kevin Wong, Head of Discipline of Information Technology.

“Both teams won merits for their work with our dedicated staff on real-life projects in the IT final year project unit.”

In this unit, clients from industry or organisations provided real world projects for students to develop.

The student teams worked with Dr Hong Xie, Mr Shri Rai, Dr Fairuz Shiratuddin, Mr Kevin Ong and Mr Peter Cole from Murdoch’s School of Engineering and IT.

One team worked on a Radiology Assistant Simulator, which aims to provide cost-effective and easily accessible training to students of radiology. The technology creates a virtual recreation of a radiology suite to allow simulated X-ray imaging of a patient within an immersive and interactive 3D environment.

The Radiology Assistant Simulator student team of Kane Osborn, Matthew Jones, Christopher Snook, Jason Sardi, Nicholas Borowitzka and Daniel Manganaro, also won Best Student Project of the Year Award at the WAITTA INCITE Awards 2016 for the project.

The second student team, Mark Carriedo, Andrew Harrison, Khalid Saleh, Saleh Alanazi, Fahad Alqahtani and Nemanja Jovanovic, were merited for their FlexiBrains project at the iAwards.

This web-based application was developed to assist the rehabilitation of stroke survivors. It presents challenging visual, visuospatial and aural tasks to promote quicker recovery.

Murdoch IT graduate Matthew Schneider, Managing Director of Optika Solutions, collected the Big Data Innovation of the Year Award and was named overall winner of the Innovation of the Year Award for the revolutionary product, Akumen.

Mr Schneider said the winning product, Akumen, was developed to remove the technical complexity of data science processes, allowing users to focus on outcomes.

“Akumen collects data from a variety of systems and uses the data to identify relationships. It then uses its understanding of those relationships to optimise speed, cost-efficiencies and quality of outcomes,” Mr Schneider said.

“It is a complex product with a complex story to deliver but we are thrilled to be recognised by the AIIA as the 2016 iAwards Innovation of the Year.”

The student teams will head to Taiwan in December, 2016 to compete in the Asia Pacific ICT Alliance Awards.

Print This Post Print This Post

Leave a comment

You can use these tags : <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>

We read every comment and will make every effort to approve each new comment within one working day. To ensure speedy posting, please keep your comments relevant to the topic of discussion, free of inappropriate language and in-line with the editorial integrity of this newsroom. If not, your comments may not be published.

Thanks for commenting!