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Exploring the complexity of complex (mega) projects

Owing to unexpected emerging behaviour, interdependencies among participating stakeholders and wider scope, today's projects are becoming more complex. Understanding the complex nat more...

Supervisor(s): Uddin, Shahadat (Dr)

Bayesian deep learning for incomplete information

This project will feature a synergy of deep learning, modular and multi-task learning with Bayesian methods to address the problem of decision making given incomplete information. more...

Supervisor(s): Cripps, Sally (Professor), Chandra, Rohitash (Dr)

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING ASSISTED NEWBORN CRITICAL CARE (VIRTUAL CRITICAL CARE MODELING)

The most vulnerable critical care patients are newborn babies both those extremely premature and sick full term. High resolution physiological data is displayed for all patients but more...

Supervisor(s): McEwan, Alistair (Professor)

Characterizing Transport Networks

In an increasingly urbanized world, people remain connected by a complex nexus of roads, rails, paths, and sidewalks that form urban transportation systems and shape travel demand. more...

Supervisor(s): Levinson, David (Professor)

Real-time Low-power Neural Accelerator

This project aims at developing an Application-Specific Integrated Circuit (ASIC) for a low-power learning system processing real-time time-series data. more...

Supervisor(s): Kavehei, Omid (Dr)

Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)

Travel Behaviour Over Time

The Bureau of Transport Statistics of Transport for NSW has conducted an annual Household Travel Survey since 1997 and historically in 1991 and 1981 as a Home Interview Survey. This more...

Supervisor(s): Levinson, David (Professor)