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Artificial Intelligence (AI) in the University Campus

If Australia Universities are to transform into a prosperous economy and keep pace with the technology-advancement that other countries have committed to they must be nimble, inventive and exceptionally capable in the adoption of Artificial Intelligence across many platforms that support the student campus life.

This roundtable will explore selected topics such as machine learning, neural networks, probabilistic reasoning within information computer technology environments. For your University, what would be the critical elements of AI you need in supporting the campus?

Please join your peers from a cross section of Universities, NTT Communications, Hewlett Packard Enterprise and HPE Aruba to discuss advancements in AI in the University Campus.

Time: 11:00am – 2:20pm

Date: Thursday, 24 May, 2018

Location: Melbourne Arts Centre, Hugh Williamson Room, 100 St Kilda Road, Southbank, VIC  3004

decorative corner shape in NTTICT colours

Save Your Seat Now!

Keynote Speakers


Eng Lim Gohs Image






Eng Lim Goh, PhD Vice President & Chief Technology Officer, High Performance Computing & Artificial Intelligence, Hewlett Packard Enterprise.

His current research interest is in the progression from data intensive computing to analytics, inductive machine learning, deductive reasoning and artificial specific-to-general intelligence.

Awarded Singapore Visionary Award



David Quist – Aruba Security Solutions Lead for Australia and New Zealand

David has worked with large government and enterprise customers addressing their incident response challenges for the last 6 years. With security incidents increasing in line with unparalleled data volumes the security challenge is immense. Will adopting artificial intelligence finally provide the reduction in time taken from compromise to discovery to protect our most critical assets?

David Quest2







Welcome and Introductions



Purpose of the Roundtable discussion.

Andrew Chapman


Prediction: Use Science or History?

Traditionally, scientific laws have been applied deductively - from predicting the performance of a pacemaker before implant, downforce of a Formula 1 car, pricing of derivatives in finance or the motion of planets for a trip to Mars. With Artificial Intelligence, we are starting to also use the data-intensive inductive approach, enabled by the re-emergence of Machine Learning which has been fueled by decades of accumulated records.

Eng Lim Goh

PhD Vice President & Chief Technology Officer, High Performance Computing & Artificial Intelligence, Hewlett Packard Enterprise


How will Artificial Intelligence and Machine Learning impact cyber security?

How can AI help fight the Cyber Security battle by automating complex processes for detecting attacks and reacting to breaches? These applications are becoming more and more sophisticated as AI is deployed for security.

David Quist

Security Solutions Lead for Australia and New Zealand, Aruba


2 course lunch



Roundtable discussion: AI is not a new field, but computational power and the availability of data have enabled this renaissance for machine learning and deep learning. How will this enable Australian Universities to be disruptive in an increasingly competitive market?


Moderator: Andrew Chapman




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