A complete Stochastic Trans-shipment Decision Model (STDM) to assist logistics practitioners to make cost optimised decisions. This project aims to implement a decision-makng model based on a new mathematical theory in dealing with supply and demand problems for businesses. The purpose is to minimise the expected logistics costs for goods trans-shipment operations along the supply chain, thereby maximising profits and enhancing the competitiveness of Australian companies.
Industrial Transformation Training Centres - Grant ID: IC200100022
Funder
Australian Research Council
Funding Amount
$4,883,406.00
Summary
ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge researc ....ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge research, to lift the socio-technical barriers to data driven transformation and develop resilient data pipelines capable of delivering game-changing productivity gains that position Australian organisations at the forefront of technology leadership and value creation from data assets. Read moreRead less
Microcantilevers for multifrequency atomic force microscopy. This project aims to design a microcantilever with high-performing sensors more sensitive and with better noise performance than the typical optical system used in commercial Atomic Force Microscopes (AFMs). The AFM, a nanotechnology instrument, uses a microcantilever (with an extremely shape probe) to interrogate a sample surface. It has made important discoveries in nanotechnology, life sciences, nanomachining, material science and d ....Microcantilevers for multifrequency atomic force microscopy. This project aims to design a microcantilever with high-performing sensors more sensitive and with better noise performance than the typical optical system used in commercial Atomic Force Microscopes (AFMs). The AFM, a nanotechnology instrument, uses a microcantilever (with an extremely shape probe) to interrogate a sample surface. It has made important discoveries in nanotechnology, life sciences, nanomachining, material science and data storage systems. Despite its success, the technique’s spatial resolution and quantitative measurements are limited. This project could lead to breakthrough technologies such as atomic force spectroscopy to study elastic modulus of nanostructures, and establish Australia's prominence in this emerging field.Read moreRead less
System identification of microstructure in the brain using magnetic resonance. Magnetic Resonance Imaging technologies will be exploited to probe the microstructure of the brain, using powerful Bayesian optimisation techniques and innovative uses of magnetic resonance. The project will in particular develop non-invasive imaging methods to quantify iron content in the brain, important for research on dementia and Alzheimer's disease.
Improving transient performance for systems with multiple inputs/outputs. This project aims to develop and test new mathematical techniques for the improvement of transient performance in tracking control systems. The fundamental problem to be addressed will be the design of controllers to rapidly track constant and time varying target reference signals without overshooting or undershooting for multiple-input multiple-output systems/plants. These new methods aim to offer improved accuracy and sp ....Improving transient performance for systems with multiple inputs/outputs. This project aims to develop and test new mathematical techniques for the improvement of transient performance in tracking control systems. The fundamental problem to be addressed will be the design of controllers to rapidly track constant and time varying target reference signals without overshooting or undershooting for multiple-input multiple-output systems/plants. These new methods aim to offer improved accuracy and speed in many engineering applications.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100368
Funder
Australian Research Council
Funding Amount
$396,071.00
Summary
Algorithmic management and the future of work: lessons from the gig economy. The gig economy is at the forefront of ‘algorithmic management’, a major technological disruption of management, work, and employment. Used to replace humans as organisational managers, these systems are projected to spread wide across the Australian economy yet remain poorly understood. This study will systematically interrogate the nature and operations of algorithmic management across platforms operational in the Aus ....Algorithmic management and the future of work: lessons from the gig economy. The gig economy is at the forefront of ‘algorithmic management’, a major technological disruption of management, work, and employment. Used to replace humans as organisational managers, these systems are projected to spread wide across the Australian economy yet remain poorly understood. This study will systematically interrogate the nature and operations of algorithmic management across platforms operational in the Australian gig economy. It will explore the design and oversight of, workers’ experiences with, and the role end-users play in sustaining these systems. The study will generate state-of-the-art academic knowledge and provide guidance to policy makers on how to respond to, and where necessary regulate, algorithmic management.Read moreRead less
Reliable and efficient algorithms for modelling dynamical systems from data. Mathematical and computational models are increasingly important in diverse areas of science and engineering including aircraft and automotive design, robotics, medical sensing, and biology. However, finding an accurate model remains a difficult task. This project will develop new methods to reliably find highly accurate models from recorded data.
A New Approach to High-Performance Control of Nonlinear Systems. The coming generation of robots are highly mobile and will interact significantly with their environment, each other, and human collaborators. However, this leads to highly coupled nonlinear dynamical behaviour, and achieving accurate and reliable control of these systems is pushing current control theory to breaking point. This project aims to develop a new approach to control of nonlinear systems based on contraction theory and c ....A New Approach to High-Performance Control of Nonlinear Systems. The coming generation of robots are highly mobile and will interact significantly with their environment, each other, and human collaborators. However, this leads to highly coupled nonlinear dynamical behaviour, and achieving accurate and reliable control of these systems is pushing current control theory to breaking point. This project aims to develop a new approach to control of nonlinear systems based on contraction theory and convex optimisation, extending the power of optimisation-based control from linear to non-linear systems. The project is expected to lead to new theoretical developments, constructive algorithms and software, and experimental demonstrations on a range of platforms including bipedal walking robots and underwater robots.Read moreRead less
Nano optoelectronic coupling: towards an ultrasensitive sensing technology. This project aims to elucidate ultrasensitive mechanical and thermal sensing effects that are tens of thousands of times better than conventional sensing technologies. This is achieved through controlling interactions between photons and electrons at the interface of two semiconductors. Outcomes of this project include scientific breakthroughs that are expected to revolutionise and disrupt the established sensing technol ....Nano optoelectronic coupling: towards an ultrasensitive sensing technology. This project aims to elucidate ultrasensitive mechanical and thermal sensing effects that are tens of thousands of times better than conventional sensing technologies. This is achieved through controlling interactions between photons and electrons at the interface of two semiconductors. Outcomes of this project include scientific breakthroughs that are expected to revolutionise and disrupt the established sensing technologies. Microscopic low power mechanical and thermal sensors with ultra-high sensitivity have great value to enhance safety, security, and productivity of industry and society. The project is expected to generate new knowledge and place Australia as the world leader in physical sensing and create a new industry.Read moreRead less
Learned Academies Special Projects - Grant ID: LA170100023
Funder
Australian Research Council
Funding Amount
$345,000.00
Summary
Decadal plan for technology research in Australia. This project aims to assess the research needs of key Australian industry sectors, based on likely scenarios for Australia in 2030 and industry’s readiness to adopt new technology. The project expects to highlight opportunities for research organisations and companies to deliver research outcomes and to identify skilled people to support Australian competitiveness. These opportunities can then be mapped against current research efforts to help p ....Decadal plan for technology research in Australia. This project aims to assess the research needs of key Australian industry sectors, based on likely scenarios for Australia in 2030 and industry’s readiness to adopt new technology. The project expects to highlight opportunities for research organisations and companies to deliver research outcomes and to identify skilled people to support Australian competitiveness. These opportunities can then be mapped against current research efforts to help provide a road map for future research strategies. The project outputs will help guide the implementation of programs by industry and research organisations, and ensure a higher quality workforce with skills matched to future demand.Read moreRead less