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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)

Do hydrological models cope with complex Australian catchments?

Climate change and rapid land use change has forced a rethink on hydrological models. Non-stationarity (where trends in time-series are non-linear or non-uniform) is now the norm, a more...

Supervisor(s): Vervoort, Willem (Associate Professor), Bishop, Thomas (Associate Professor), Van Ogtrop, Floris (Dr)

Network Econometrics and the Evolution of Transport Systems

Network Econometrics is a new set of methodologies to exploit network information when undertaking econometric analysis. It has uses in both short and long-term traffic prediction. more...

Supervisor(s): Levinson, David (Professor)

Technological Change and the Future of Cities

Many transport analysts envision a forward-looking, ambitious and disruptive cloud commuting-based transport system for future smart cities based on emerging connected, autonomous v more...

Supervisor(s): Levinson, David (Professor)

Closure of the Exponential Embedding of the Nilpotent Cone

Algebra; representation theory; algebraic groups; sheaves; geometry more...

Supervisor(s): Henderson, Anthony (Professor)

Modular Character Sheaves on Lie Algebras

Developing a theory of character sheaves with modular coefficients on the Lie algebras of reductive groups. more...

Supervisor(s): Henderson, Anthony (Professor)

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)

Linking emotional intelligence to emotion regulation using the experience sampling method

Emotional intelligence focuses on differences in people’s capacity to perceive, understand, and regulate emotion, whereas emotion regulation focuses on processes underlying wh more...

Supervisor(s): MacCann, Carolyn (Dr)

Emotional intelligence and the psycho-physiology of stress

Emotional intelligence is known to predict health outcomes as well as better workplace performance. One of the mechanisms underlying these relationships may be the ability to manage more...

Supervisor(s): MacCann, Carolyn (Dr)

Which parts of emotional intelligence matter for well-being and success: The different roles for self- and other-emotion management

Meta-analyses show that emotional intelligence is a critical determinant of success at school, success at work, and of key health outcomes. The different parts of emotional intellig more...

Supervisor(s): MacCann, Carolyn (Dr)