ORCID Profile
0000-0003-3438-9969
Current Organisation
Deakin University Faculty of Science Engineering and Built Environment
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Robotics And Mechatronics | Control Systems, Robotics and Automation | Control Engineering | Mechanical Engineering | Simulation And Modelling | Artificial Intelligence and Image Processing | Interdisciplinary Engineering Not Elsewhere Classified | Other Engineering | Engineering Instrumentation | Interdisciplinary Engineering | Applied Mathematics | Nanotechnology | Electrical and Electronic Engineering | Neural, Evolutionary and Fuzzy Computation | Signal Processing | Dynamical Systems in Applications | Manufacturing Engineering | Packaging, Storage And Transportation | Safety And Quality | Flexible Manufacturing Systems | Mechanical Engineering | Intelligent Robotics |
Road Safety | Medical instrumentation | Computer software and services not elsewhere classified | Scientific Instruments | Expanding Knowledge in Engineering | Transport equipment | Machinery and equipment not elsewhere classified | Telecommunications | Machinery and equipment | Information processing services | Instrumentation | Injury control | Metals (composites, coatings, bonding, etc.) | Data, image and text equipment | Industrial instrumentation | Voice equipment | Manufacturing not elsewhere classified | Road safety | Automotive equipment | Scientific instrumentation | Air Safety | Expanding Knowledge in the Mathematical Sciences | Other
Publisher: Elsevier BV
Date: 02-2015
Publisher: Institution of Engineering and Technology (IET)
Date: 07-2014
DOI: 10.1049/EL.2014.1480
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2013
Publisher: MDPI AG
Date: 26-04-2023
DOI: 10.3390/EN16093705
Abstract: As the climate crisis worsens, power grids are gradually transforming into a more sustainable state through renewable energy sources (RESs), energy storage systems (ESSs), and smart loads. Virtual power plants (VPP) are an emerging concept that can flexibly integrate distributed energy resources (DERs), managing manage the power output of each DER unit, as well as the power consumption of loads, to balance electricity supply and demand in real time. VPPs can participate in energy markets, enable self-scheduling of RESs, facilitate energy trading and sharing, and provide demand-side frequency control ancillary services (D-FCAS) to enhance the stability of the system frequency. As a result, studies considering VPPs have become the focus of recent energy research, with the purpose of reducing the uncertainty resulting from RESs distributed in the power grid and improving technology related to energy management system (EMS). However, comprehensive reviews of VPPs considering their formation, control techniques, and D-FCAS are still lacking in the literature. Therefore, this paper aims to provide a thorough overview of state-of-the-art VPP technologies for building sustainable power grids in the future. The review mainly considers the development of VPPs, the information transmission and control methods among DERs and loads in VPPs, as well as the relevant technologies for providing D-FCAS from VPPs. This review paper describes the significant economic, social, and environmental benefits of VPPs, as well as the technological advancements, challenges, and possible future research directions in VPP research.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2014
DOI: 10.1137/130915273
Publisher: Institution of Engineering and Technology (IET)
Date: 09-2015
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2019
DOI: 10.1137/18M1224210
Publisher: Wiley
Date: 12-11-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2013
Publisher: IEEE
Date: 10-2006
Publisher: Elsevier BV
Date: 02-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2010
Publisher: Wiley
Date: 20-02-2012
DOI: 10.1002/ACS.2274
Publisher: Elsevier BV
Date: 03-2023
Publisher: IEEE
Date: 07-2006
Publisher: Oxford University Press (OUP)
Date: 11-03-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2021
Publisher: Institution of Engineering and Technology (IET)
Date: 02-08-2016
Publisher: Elsevier BV
Date: 02-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
Publisher: Elsevier BV
Date: 02-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Informa UK Limited
Date: 10-02-2016
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2017
DOI: 10.1137/15M1037676
Publisher: Springer Science and Business Media LLC
Date: 19-09-2016
Publisher: IEEE
Date: 08-2006
Publisher: Elsevier BV
Date: 10-2015
Publisher: Elsevier BV
Date: 02-2013
Publisher: Elsevier BV
Date: 10-2016
Publisher: Elsevier BV
Date: 03-2019
Publisher: Elsevier BV
Date: 11-2016
Publisher: Springer Science and Business Media LLC
Date: 11-05-2010
Publisher: Institution of Engineering and Technology (IET)
Date: 10-2015
Publisher: Elsevier BV
Date: 10-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2003
Publisher: Elsevier BV
Date: 05-2022
Publisher: Elsevier BV
Date: 2016
Publisher: Elsevier BV
Date: 11-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2022
Publisher: Institution of Engineering and Technology (IET)
Date: 28-04-2020
Publisher: Elsevier BV
Date: 05-2023
Publisher: Elsevier BV
Date: 2020
Publisher: Informa UK Limited
Date: 2002
Publisher: Springer Science and Business Media LLC
Date: 21-01-2012
Publisher: Springer Science and Business Media LLC
Date: 12-12-2012
Publisher: Elsevier BV
Date: 09-2021
Publisher: Institution of Engineering and Technology (IET)
Date: 05-1998
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Publisher: Wiley
Date: 03-03-2013
DOI: 10.1002/RNC.2973
Publisher: IEEE
Date: 12-2010
Publisher: Elsevier BV
Date: 11-2021
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2020
DOI: 10.1137/19M1299797
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2019
Publisher: Elsevier BV
Date: 07-2021
Publisher: Elsevier BV
Date: 10-2007
Publisher: Institution of Engineering and Technology (IET)
Date: 18-04-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Publisher: Institution of Engineering and Technology (IET)
Date: 03-1997
Publisher: Informa UK Limited
Date: 07-11-2016
Publisher: Elsevier BV
Date: 12-2017
Publisher: Informa UK Limited
Date: 31-03-2014
Publisher: Elsevier BV
Date: 05-2015
Publisher: Elsevier BV
Date: 05-2015
Publisher: SAGE Publications
Date: 19-04-2018
Abstract: This paper considers the problem of designing positive reduced-order distributed functional observers for positive fractional-order interconnected time-delay systems. The systems under consideration belong to a class of large-scale fractional-order systems where each system is formed by [Formula: see text] ([Formula: see text]) interconnected subsystems with heterogeneous time delays in the interconnections and the local state vectors. First, a necessary and sufficient condition to ensure the positivity of the considered system is derived. Based on this result, [Formula: see text] stand-alone reduced-order positive distributed functional observers for the system are designed. These observers are always nonnegative at any time and they converge asymptotically to the true functional state vectors of the system. The designed observer for each subsystem is based on the local outputs and additional outputs from other subsystems but without the need to exchange the state estimates among the observers. Conditions for the existence of such positive distributed functional observers are derived and they are translated into a linear programming problem. Finally, the effectiveness of the proposed design method is supported by four numerical ex les and simulation results.
Publisher: Wiley
Date: 22-11-2020
DOI: 10.1002/RNC.5330
Publisher: Elsevier BV
Date: 06-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 08-07-2020
Publisher: Elsevier BV
Date: 07-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2017
Publisher: Elsevier BV
Date: 11-2008
Publisher: Elsevier BV
Date: 10-2015
Publisher: Informa UK Limited
Date: 10-10-2004
Publisher: IEEE
Date: 12-2016
Publisher: Elsevier BV
Date: 09-2013
Publisher: IEEE
Date: 10-2006
Publisher: Elsevier BV
Date: 09-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: Elsevier BV
Date: 07-2022
Publisher: Elsevier BV
Date: 08-2014
Publisher: IEEE
Date: 07-2016
Publisher: IEEE
Date: 09-2006
Publisher: IEEE
Date: 08-2007
Publisher: Hindawi Limited
Date: 2016
DOI: 10.1155/2016/2740645
Abstract: This paper examines the design of minimal-order residual generators for the purpose of detecting and isolating actuator and/or component faults in dynamical systems. We first derive existence conditions and design residual generators using only first-order observers to detect and identify the faults. When the first-order functional observers do not exist, then based on a parametric approach to the solution of a generalized Sylvester matrix equation, we develop systematic procedures for designing residual generators utilizing minimal-order functional observers. Our design approach gives lower-order residual generators than existing results in the literature. The advantages for having such lower-order residual generators are obvious from the economical and practical points of view as cost saving and simplicity in implementation can be achieved, particularly when dealing with high-order complex systems. Numerical ex les are given to illustrate the proposed fault detection and isolation schemes. In all of the numerical ex les, we design minimum-order residual generators to effectively detect and isolate actuator and/or component faults in the system.
Publisher: Elsevier BV
Date: 11-2018
Publisher: Informa UK Limited
Date: 24-01-2017
Publisher: Wiley
Date: 26-07-2021
DOI: 10.1002/MMA.7668
Abstract: Design of event‐triggered functional observers for linear systems subject to input and output disturbances is presented in this paper. A new dynamic event‐triggered mechanism is first proposed and then a novel event‐triggered interval functional observer is designed. The designed observer provides upper and lower bounds of the unknown linear function of the state vectors. By constructing a Lyapunov function, conditions ensuring the existence of the event‐triggered functional observer are established. The smallest bound of the estimated error and an effective algorithm for determining observer matrices are also presented. Finally, the obtained results in this paper are used to estimate linear functions of the state vector of a battery and motor circuit model of electric vehicles.
Publisher: MDPI AG
Date: 16-06-2023
Abstract: Energy is the foundation for human survival and socio-economic development, and electricity is a key form of energy. Electricity prices are a key factor affecting the interests of various stakeholders in the electricity market, playing a significant role in the sustainable development of energy and the environment. As the number of distributed energy resources (DERs) increases, today’s power systems no longer rely on a vertical market model and fixed electricity pricing scheme but instead depend on power dispatch and dynamic pricing to match supply and demand. This can help prevent significant fluctuations in supply–load imbalance and maintain system stability. Modern power grids have evolved by integrating information, communication, and intelligent control technologies with traditional power systems, giving rise to the concept of smart electric grids. Choosing an appropriate pricing scheme to manage large-scale DERs and controllable loads in today’s power grid become very important. However, the existing literature lacks a comprehensive review of electricity pricing in power systems and its transformative impact on shaping the energy landscape. To fill this void, this paper provides a survey on the developments, methods, and frameworks related to electricity pricing and energy trading. The review mainly considers the development of pricing in a centralized power grid, peer-to-peer (P2P) and microgrid-to-microgrid (M2M) energy trading and sharing, and various pricing methods. The review will cover the pricing schemes in modern power systems, particularly with respect to renewable energy sources (RESs) and batteries, as well as controllable load applications, and the impact of pricing schemes based on demand-side ancillary services (DSAS) for grid frequency support. Lastly, this review article describes the current frameworks and limitations of electricity pricing in the current energy market, as well as future research directions. This review should offer a great overview and deep insights into today’s electricity market and how pricing methods will drive and facilitate the future establishment of smart energy systems.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: IEEE
Date: 1992
Publisher: Elsevier BV
Date: 09-2004
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2016
DOI: 10.1137/15M1030182
Publisher: Springer Science and Business Media LLC
Date: 27-05-2015
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 05-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2011
Publisher: IEEE
Date: 1992
Publisher: Oxford University Press (OUP)
Date: 03-07-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 10-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2019
Publisher: Elsevier BV
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Informa UK Limited
Date: 06-05-2014
Publisher: IEEE
Date: 06-2010
Publisher: Springer Science and Business Media LLC
Date: 06-04-2013
Publisher: Elsevier BV
Date: 11-2003
Publisher: IEEE
Date: 2006
Publisher: Informa UK Limited
Date: 19-05-2016
Publisher: Elsevier BV
Date: 07-2012
Publisher: Wiley
Date: 26-06-2017
DOI: 10.1002/RNC.3866
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2015
Publisher: Elsevier BV
Date: 05-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2006
Publisher: Institution of Engineering and Technology (IET)
Date: 14-12-2020
DOI: 10.1049/GTD2.12057
Publisher: Elsevier BV
Date: 12-2016
Publisher: Institution of Engineering and Technology (IET)
Date: 28-09-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2010
Publisher: Wiley
Date: 19-10-2020
DOI: 10.1002/RNC.5256
Publisher: Elsevier BV
Date: 06-2023
Publisher: Walter de Gruyter GmbH
Date: 28-12-2012
DOI: 10.2478/V10006-012-0068-8
Abstract: This paper considers the problem of designing an observer-based output feedback controller to exponentially stabilize a class of linear systems with an interval time-varying delay in the state vector. The delay is assumed to vary within an interval with known lower and upper bounds. The time-varying delay is not required to be differentiable, nor should its lower bound be zero. By constructing a set of Lyapunov-Krasovskii functionals and utilizing the Newton-Leibniz formula, a delay-dependent stabilizability condition which is expressed in terms of Linear Matrix Inequalities (LMIs) is derived to ensure the closed-loop system is exponentially stable with a prescribed α -convergence rate. The design of an observerbased output feedback controller can be carried out in a systematic and computationally efficient manner via the use of an LMI-based algorithm. A numerical ex le is given to illustrate the design procedure.
Publisher: Elsevier BV
Date: 02-2021
Publisher: Elsevier BV
Date: 12-2015
Publisher: Informa UK Limited
Date: 25-10-2021
Publisher: Elsevier BV
Date: 06-2016
Publisher: Springer Science and Business Media LLC
Date: 09-04-2020
Publisher: Elsevier BV
Date: 10-2021
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 05-2006
Publisher: IEEE
Date: 12-2013
Publisher: IEEE
Date: 12-2013
Publisher: Elsevier
Date: 2019
Publisher: Cambridge University Press (CUP)
Date: 19-03-2007
DOI: 10.1017/S0263574706003286
Abstract: The paper introduces a family of three-DOFs translational-rotational Parallel-Kinematics Mechanisms (PKMs) as well as the mobility analysis of such family using Lie-group theory. Each member of this family has two-rotational one-translational DOFs. A novel mechanism is presented and analyzed as a representative of that family. The use and the practical value of that modular mechanism are emphasized.
Publisher: IEEE
Date: 10-2014
Publisher: Elsevier BV
Date: 07-2016
Publisher: IEEE
Date: 08-2007
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Wiley
Date: 02-10-2217
DOI: 10.1002/RNC.3960
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2008
Publisher: MDPI AG
Date: 28-07-2015
DOI: 10.3390/S150818315
Publisher: Oxford University Press (OUP)
Date: 18-11-2013
Publisher: IEEE
Date: 20-11-2022
Publisher: Institution of Engineering and Technology (IET)
Date: 06-2016
Publisher: Springer Science and Business Media LLC
Date: 26-09-2015
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 10-2022
DOI: 10.1137/21M1466062
Publisher: Inderscience Publishers
Date: 2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-10-2023
Publisher: Wiley
Date: 29-10-2015
DOI: 10.1002/OCA.2216
Publisher: Elsevier BV
Date: 02-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
Publisher: IEEE
Date: 12-2013
Publisher: Informa UK Limited
Date: 17-11-2019
Publisher: IEEE
Date: 06-2016
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Institution of Engineering and Technology (IET)
Date: 03-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: IEEE
Date: 1992
Publisher: Wiley
Date: 11-04-2022
DOI: 10.1002/RNC.6134
Abstract: We consider the problem of event‐triggered state estimation for recurrent neural networks subject to unknown time‐varying delays by proposing a robust dynamic event‐triggered state observer. A method based on a novel state observer and a dynamic event‐triggered mechanism (ETM) is proposed to provide robust state estimation of the delayed recurrent neural networks. The significance of the new dynamic ETM is that it helps to reduce unnecessary transmissions from the sensors to the observer. A sufficient condition for the existence of the dynamic event‐triggered state observer in terms of a convex optimization problem is proposed based on Lyapunov theory combined with free‐weighting matrix technique and some useful inequalities such as Wirtinger‐based integral inequality, Cauchy matrix inequality and reciprocally convex combination inequality. The effectiveness of the proposed estimation method is demonstrated by two numerical ex les and simulation results. In contrast to the event‐triggered state estimation methods currently available in the literature, which require that the time delays are constant or unknown time‐varying but must be differentiable and event‐triggered conditions depend on continuous supervisions, the one in this article only requires the information of upper and lower bounds of the unknown time‐varying delays and the event‐triggered conditions depend on discrete supervisions, which provides more practicality and potential saving in network bandwidth.
Publisher: Informa UK Limited
Date: 12-2006
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 1992
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Elsevier BV
Date: 10-2004
Publisher: Springer Science and Business Media LLC
Date: 03-02-2021
Publisher: Elsevier BV
Date: 05-2020
Publisher: IEEE
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2016
Publisher: Elsevier BV
Date: 03-1999
Publisher: Elsevier BV
Date: 04-2020
Publisher: Informa UK Limited
Date: 04-2012
Publisher: Elsevier BV
Date: 09-2021
Publisher: IEEE
Date: 12-2011
Publisher: Institution of Engineering and Technology (IET)
Date: 20-04-2017
Publisher: Elsevier BV
Date: 03-2014
DOI: 10.1016/J.ISATRA.2013.12.025
Abstract: This paper deals with the problem of partial state observer design for linear systems that are subject to time delays in the measured output as well as the control input. By choosing a set of appropriate augmented Lyapunov-Krasovskii functionals with a triple-integral term and using the information of both the delayed output and input, a novel approach to design a minimal-order observer is proposed to guarantee that the observer error is ε-convergent with an exponential rate. Existence conditions of such an observer are derived in terms of matrix inequalities for the cases with time delays in both the output and input and with output delay only. Constructive design algorithms are introduced. Numerical ex les are provided to illustrate the design procedure, practicality and effectiveness of the proposed observer.
Publisher: Institution of Engineering and Technology (IET)
Date: 09-2014
Publisher: IEEE
Date: 12-2015
Publisher: Elsevier
Date: 2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2021
Publisher: Wiley
Date: 11-08-2014
DOI: 10.1002/CPLX.21584
Publisher: Elsevier BV
Date: 08-2016
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2018
DOI: 10.1137/16M1104846
Publisher: IEEE
Date: 07-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 04-2015
Publisher: Informa UK Limited
Date: 2000
Publisher: Elsevier BV
Date: 09-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-1997
Publisher: Wiley
Date: 04-08-2020
DOI: 10.1002/ACS.3149
Publisher: Informa UK Limited
Date: 1999
Publisher: Informa UK Limited
Date: 2000
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2020
Publisher: Institution of Engineering and Technology (IET)
Date: 08-2016
Publisher: Informa UK Limited
Date: 14-04-2015
Publisher: IEEE
Date: 10-2006
Publisher: Elsevier BV
Date: 07-2019
Publisher: Informa UK Limited
Date: 2013
Publisher: Elsevier BV
Date: 07-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2018
DOI: 10.1137/16M1092672
Publisher: Elsevier BV
Date: 09-2016
Publisher: Elsevier BV
Date: 02-2020
Publisher: IEEE
Date: 10-2006
Publisher: Elsevier BV
Date: 06-2018
Publisher: Elsevier BV
Date: 2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Location: Australia
Location: Australia
Start Date: 05-2020
End Date: 04-2021
Amount: $475,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 11-2006
End Date: 06-2010
Amount: $275,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2007
End Date: 12-2010
Amount: $151,107.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2021
End Date: 12-2023
Amount: $453,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 09-2007
End Date: 12-2008
Amount: $285,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2015
End Date: 12-2015
Amount: $320,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2004
End Date: 12-2010
Amount: $320,566.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2013
End Date: 04-2017
Amount: $300,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 01-2004
End Date: 11-2004
Amount: $20,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2005
End Date: 12-2008
Amount: $178,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2007
End Date: 12-2008
Amount: $430,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2002
End Date: 12-2003
Amount: $140,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 04-2003
End Date: 12-2004
Amount: $186,000.00
Funder: Australian Research Council
View Funded Activity