Charles Sturt University
Charles Sturt University

Research

Research

Congratulations!

Congratulations on our staff Professor Junbin Gao, Dr Yeslam Al-Saggaf, Dr Manoranjan Paul and Dr Oliver Burmeister winning prestigious ARC research grants.

2015 Gravitational Waves detected 100 years after Einsteins Prediction

Data analysis for the detection of gravitational waves
Investigators: Dr Philip Charlton

http://news.csu.edu.au/latest-news/science/gravitational-waves-detected-100-years-after-einsteins-prediction

2014 ARC Discovery Project

Online Learning for Large Scale Structured Data in Complex Situations
Chief Investigators: Dr Qinfeng (University of Adelaide) Professor Junbin Gao and Professor Sheng Chen (University of Southampton, UK)
Grant: $380,787 From 2014 to 2016

2013 ARC Discovery Projects

A probabilistic framework for nonlinear dimensionality reduction algorithms
Chief Investigators: Professor Junbin Gao and Professor Xia Hong (University of Reading, UK)
Grant: $210,000 From 2013 to 2015

Multiview video coding using cuboid data compression
Chief Investigators: Professor Mohammad Murshed (Monash University) and Dr Manoranjan Paul
Grant: $315,000 From 2013 to 2015

2013 ARC Linkage Project

Investigating which strategies are most effective in overcoming the ethical problems facing information and communications technology professionals
Chief Investigators: Dr Yeslam Al-Saggaf, Dr Oliver Burmeister, Professor John Weckert and John Ridge (Australian Computer Society)
Grant: $102,681.00 From 2013 to 2015

School in National News

Visitor(s)

  • Professor Zhouchen Lin from Peking University of China visited the School (20 July - 17 August 2013).

National Competitive Research Projects in the Last 5 Years

  Project Name Funding Body Investigators

DP140102270: Online Learning for Large Scale Structured Data in Complex Situations

Description:This project is to develop Online Learning algorithms to unlock the potential of such overwhelming data, which can lift existing applications to a new level.  Reducing 1% of the total fraud loss of $3.5 trillion by research, is 35 billion dollars return.  The advances in fraud detection also make Australia a safer nation which attracts more overseas investments.  Advancing social networks by research will secure Australia's future share of the scoial networks market that has massive potential.

 

ARC Discovery

Dr Qinfeng Shi (Uni of Adelaide), Prof Junbin Gao and Prof Sheng Chen (Uni of Southampton, UK)

DP130100364: A probabilistic framework for nonlinear dimensionality reduction algorithms

Description:The Twin Measures Framework is a novel platform for analysing existing dimensionality reduction methods and the invention of new ones.  This research will radically improve image analysis, with beneficial applications from pharmaceutical drug design through to border protection.

 

ARC Discovery

Prof Junbin Gao and Prof Xia Hong (Univ of Reading, UK)

DP130103670: Multiview video coding using cuboid data compression

Description:  This project investigates novel approaches to multiview video coding that use new data compression techniques and explicit occlusion handling.  These new approaches complement the state-of-the-art, improving interactivity with instantaneous view change and VCR functionality, reducing encoding complexity and increasing compression efficiency.

 

ARC Discovery

Prof Manzur Murshed (Monash) and Dr. Manoranjan Paul

Investigating which strategies are most effective in overcoming the ethical problems facing information and communications technology professionals

Description:  This project will investigate what sorts of ethical problems information and communications technology (ICT) professionals commonly face at work and which strategies are most effective in solving them.  An output of this project will be an interactive multimedia-rich website that will enable ICT professionals to deliberate on an ethical problem and come up with the best option for solving it.

 

Linkage Dr. Yeslam Al-Saggaf, Dr. Oliver Burmeister , Professor John Weckert and John Ridge (Australian Computer Society)

Crisis management simulation: developing a methodology for transforming communication response

Description:  This project merges cutting-edge digital games technology with applied drama techniques to produce a crisis management game to simulate conflict and crisis scenarios.  Working closely with the Australian Defence Force to better understand organisational communication under extreme pressure, this new approach will build teamwork and break down barriers to effective crisis management.

 

ARC Linkage Prof John Carrol, Prof David Cameron,Dr. Jim Tulip, Z Hibbert, J Arciuli, and Prof Terry Bossomaier

Scenario driven management in a network environment

Description:  Scenario planning is the process of identifying plausible futures and their inherent risks.  The organisation, the network within which it is embedded and the environment, in which the network operates, form a complex system of non-linear, dynamic interrelationships.  This project will develop a continuous process of scenario planning, capturing learning about the future as it emerges.  The project fuses the use of agents for intelligent data colleciton and negotiation with agent-based modelling to build powerful network-based scenario modelling systems for commercial applications.  This outcome will place Australia on the frontier of smart information use.  partner organisations:  NCR Australia Pty Lrd and IMIA Centre for Strategic Business Studies Pty Ltd.

ARC Linkage Prof Denise Jarratt, Prof Terry Bossomaier , Dr HA Abbass and Prof R Fayed

Government and Industrial Research Projects in the Last 5 Years

  Project Name Funding Source Investigators

WAREIGS: Wavelet-Network-Based Augmented-Reality-Enhanced Image-Guided Surgery

Description:  This research will address issues with the constraint of surgical openings where surgeons cannot see beyond the exposed surfaces and these limitations are accentuated by the even greater restrictions of minimally invasive surgery.  Limited visibility through "keyholes" during endoscopic procedures and through small incisions with ever-diminishing sizes increases the need for intra-operative image guidance.  the project aims to develop a system of augmented reality enhanced image guided surgical surgery, in which the images from cameras are aligned with patient's physical position at the time of surgery.  Such a "see-thorugh" capability makes surgeries safer and more accurate.  two objectives will be achieved: (1) Theoretical research on image registration based on wavelet networks.  (2) Development of an sugmented reality enhanced image-guided surgery with see-through capability.

 

ACSRF, Australian Government Prof Junbin Gao, Dr. Michael Antolovich,
Prof Terry Bossomaier, Dr. Manoranjan Paul=, Dr. Paul Kwan (UNE) and Professor Daming Shi (Univ of Middlesex, UK)

An evaluation of nurse practitioners – aged care models of care program in Australia

Description:  The purpose of the Nurse Practitioner Aged Care Models Program is to develop effective, viable and sustainable models of service, grow Nurse Practitioner numbers, and improve access to primary aged care service.  Amongst the aims to the national evaluation of this Program is to assess the impact of new models in relation to cost-effectiveness, quality of care and health outcomes.

 

DoHA, Australian Government Dr Azizur Rahman

Investigation of Imaging Techniques to Determine Muck Pile Ore Fragment Size In-Situ

Description:  We investigate real-time techniques for detection of larger size ore fragment in muck pile under the production environment.

 

Newcrest Mining Australia Dr. Michael Antolovich and Prof Junbin Gao
       

Selected Other Research Projects in the Last 5 Years

  Project Name Funding Source Investigators

The threats from Data Mining on the privacy of a Facebook User

Description:  In this project we discover various possible ways to breach the privacy of an individual Facebook user by a malicious data miner using sophisticated data mining algorithms.  The main goal of the project is to find out the threats on privacy and increase public awarements.  We also argue that it is a responsibility of the data miners to provide a technical solution to the problem.  We also propose data mining solutions in order to protect the individual privacy of a Facebooker user from the threats of a malicious data miner.

 

Faculty Compact Dr. Yeslam Al-Saggaf and Dr. Zahid Islam

Efficient design for Generalised Linear Models

Description:  Generalised Linear Models (GLMs) provide an extension of the traditional regression and Analysis of Variance models based on the Normal distribution to other distributions.  Designing efficient experiments for these traditional models is comparatively stratightforward because the optimal design does not depend upon the values of the unknown parameters of the linear model.  However, in GLMs, the optimal design does depend upon the unknown parameters, which makes the problem of finding efficient designs more difficult.

 

  Prof Ken Russell

A Concurrent Hybrid Approach to Secure Computer Systems

Description:  This project investigated concurrent application of AI and visualisation techniques for network security.

 

CSU Competitive Maumita Bhattacharya and Xiaodi Huang

Twin Measure Framework for Dimensionality reduction

Description:  This project aimed at developing a family of efficient nonlinear dimensionality reduction algorithms for data visualisation.

 

CSU Competitive Prof Junbin Gao and Dr David Tien

3D Video Coding

Description:  The project investigates the video coding technologies for multiview video coding.

 

Faculty Compact Dr. Manoranjan Paul

Computational Intelligence for Anomaly Detection in Networks: An Investigation

Description:  This project investigates use of computational intelligence (CI) for anomaly detection in computer networks.  Also, comparative performances of existing signature-based and misuse detection approaches are investigated.

 

Faculty Compact Maumita Bhattacharya and Dr. Tanveer Zia

Efficient Low-resolution Image Segmentation

Description:  The similarity measure criteria play a critical role in accurate segmentation.  This project aims at finding an appropriate similarity measure to extract objects in an image efficiently.

 

Faculty Compact Dr. Lihong Zheng and Prof Junbin Gao

Agent Detections for Video Surveillance from Challenging Environment

Description:  This project investigates the strategies to identify active agents such as car, human, etc from a surveillance video sequence.

 

Faculty Compact Dr. Manoranjan Paul

An analytical study of IT Security Governance (ITSG) in Australian organisations from international perspectives

Description:  This study will advance the IT security processes in Australian organistaions and compar it with international standards and guidelines for ITSG.

 

Faculty Compact Dr. Tanveer Zia and Maumita Bhattacharya

Understanding the movement of mobile nutrients in a drip irrigated vineyard with a clay loam soil

Description:

 

  Dr Philip Charlton

"Image Texture Segmentation Based on Wigner Distribution in a Fractional Fourier Domain

Description:  To apply the proposed WD-FrFT to image texture segmentation.  Since coarseness and directionality are two essential perceptual cues used by the human visual system for discriminating different textures, we will adopt two corresponding types of features, spatial - frequency and orientation, which will be extracted by L1 difference of Gaussian (DOG) filters and L2 wedge filters, respectively.

 

Faculty Compact Prof Junbin Gao, Dr. Michael Antolovich, Dr. Manoranjan Paul, Dr. Jim Tulip and Dr. David Tien

Difference equations and the problem of integrability

Description:  The evolution of a number of systems proceeds by steps and can be naturally described by difference equations.l  A special role in this class belongs to integrable equations.  Using tools like algebraic entropy and summetry analysis our aim is to better understand the behaviour of such systems and to develop efficient ways to solve them.

 

Faculty Compact Dr Dmitry Demskoy

2D mesh refinement implementation in OpenFoam

Description:  The project verifies the accuracy of the two-dimensional adaptive mesh refinement for more than one refinements for quaedrilateral meshes by comparing with existing benchmark results.  Wide applications in practice will be followed after the successful accuracy verification of the adaptive mesh refinement method.

 

Faculty Compact Dr Zhenquan Li and

Statistical analysis of near infrared spectrometry

Description:  Near infrared (NIR) spectral analysis is a rapid, non-destructive assessment tool widely used to predict or describe quality parameters of material under investigation.  Important areas where this is applied include agriculture, food quality control, geography and geology, medical diagnostics, remote sending, oil, petrochemical and pharmaceutical industries.  the statisticl technoques of partial least squares or modified partial least squares are currently used in the calibration-prediction process, which relates the NIR spectra to the quality parameter/s.  The calibration process involves using a respresentative sample from the population under consideration, recording the NIR spectra and analysing the sample using usual reference methods, finally the calibration is used to define the relationship between these two measurements.  The current NIR spectral analysis procedures represent a 'black box', little understood by most practitioners, and the output is not easy to interpret.  This research project investigates the statistics underlying the present procedures in NIR analysis.  then we will seek more robust and transparent statistical procedures to replace or strengthen the current statistical practices.

 

  Ms Sharon Nielsen and

Small area estimation of housing stress in Australia

Description:  Housing stress describes a financial situation of households where the cost of housing - either as rent, or as a mortgage repayment - is considered to be significantly high relative to household income.  It is also used to describe inadequate housing for a proportion of the population.  About 1.7 million people in Australia have housing stress.  Rises in housing prices and rents have generated keen interest in understanding who is struggling to afford to buy or rent a house, and what features exist at small area levels.  Housing stress statistics vary with demographic and socioeconomic conditions of households and with geography.  Due to the inavailability of micropopulation survey data in Australia, small area estimates for housing stress are not readily obtainable.  Policy makers need accurate housing stress estimates at local levels to make effective policy decisions on this and related issues such as poverty, social disadvantage, health and various social assistance programs.  This research project is concerned with providing these necessary small area housing stress estimates, using mocrosimulation modelling technollogy to simulate the characteristics of populations at the small area level.

 

Faculty Compact Dr Azizur Rahman

Improving student performance and engagement in mathematics and statistics through video-based resources

Description:  Different video-based resources for mathematics and statistics have been developed.  This project looks at how effective they are through student surveys, usage data and correlation to marks.  In particular, we are interested in how the effect varies across the different mode of study (internal, hybrid and distance).

  Ms Kerrie Cullis, Ms Sharon Nielsen, Dr Michael Kemp and Dr Robert Wood

PhD Research in Computational Intelligence and Robotics

  • Projects in Machine Learning, Data Mining, Computer Vision, Image Analysis, Feature Representation and Learning –
    Email Professor Junbin Gao
  • Projects in Robotics and Machine Vision –
    Email Dr Michael Antolovich
  • Projects in Simulations, Complexity Analysis and Agent-based Modelling –
    Email Professor Terry Bossomaier
  • Projects in Genetic Algorithms, Evolution Algorithm, Artificial Intelligence –
    Email Maumita Bhattacharya
  • Projects in Data Mining, Data Modelling and Data Security Issues –
    Email Dr Zahid Islam
  • Projects in Visualization, Online Social Network Analysis, Internet of Things –
    Email Dr Xiaodi Huang
  • Projects in Video Coding, Video Compression, Computer Vision, Multimedia –
    Email Dr Manoranjan Paul
  • Projects in Spatial Information and Image Processing –
    Email Dr David Tien
  • Projects in Pattern Recognition, Image Processing and Computer Games –
    Email Dr Jim Tulip
  • Projects in Image Processing, Pattern Recognition and Computer Vision –
    Email Dr Lihong Zheng

PhD Research in ICT Security

  • Data Protection in Social Networks Sites -
    Email Dr Yeslam Al-Saggaf
  • Network behaviour analysis –
    Email Dr Lihong Zheng
  • Privacy Preserving Data Mining –
  • Email Dr Zahid Islam
  • Privacy Preserving Trust Models for Business to Business Communication –
    Email Dr Zahid Islam
  • Redefining information security metrics to increase the maturity level of security processes –
  • Email Dr Tanveer Zia
  • Designing deployable information security standards –
  • Email Dr Tanveer Zia
  • Security issues in an increasing interconnected world of large-scale IT infrastructures –
  • Email Dr Tanveer Zia
  • Closing the gap between users mental model of the information security system and the reality of the system –
  • Email Dr Tanveer Zia
  • Data breach prevention strategies for smart devices -
    Email Dr Tanveer Zia
  • Computational Intelligence for Network Security -
    Email Maumita Bhattacharya
  • Integration of Wireless Sensor Network and Artificial Intelligence (AISen), and integration of WSNs and Cloud Computing (C-WSN) -
  • Email Dr Quazi Mamun
  • Security and Privacy in Cloud based eHealth System - 
  • Email Dr Quazi Mamun
  • Developing an active defence system to detect and defend against obfuscated malicious software -
  • Email Dr Rafiqul Islam
  • Assuring the integrity of data storage and processing services from Intrusion entities -
  • Email Dr Rafiqul Islam

PhD Research in Math and Statistics

  • Optimising computations for adaptive designs for clinical trials -
    Email Prof Ken Russell
  • A virtual laboratory for gravitational wave data analysis -
  • Email Dr Philip Charlton
  • Integrated mapping and modeling of water and carbon footprints of agroecosystems -
    Email Dr Philip Charlton
  • Krylov subspace methods -
    Email Dr Michael Kemp
  • Implementation of a two-dimensional mesh refinement method and its applications in fluid flows -
  • Email Dr Zhenquan Li
  • Implementation of a three-dimensional mesh refinement method and its applications in fluid flows -
  • Email Dr Zhenquan Li
  • Modelling shallow fluid dynamics and their numerical simulations -
    Email Dr Zhenquan Li
  • Small Area Estimation of Housing Stress in Australia -
  • Email Dr Azizur Rahman
  • A Bayesian reweighting technology for spatial microdata simulation -
  • Email Dr Azizur Rahman
  • Socio-demographic and spatial inequalities in early childhood health, developments and the school readiness of Australian children -
    Email Dr Azizur Rahman

Welcome to our Honours Program

Our research staff offer a range of Honours projects for undergraduate students to pursue their research career. Please contact relevant supervisors for project details:

  • Threats to personal information in Social Networks Sites -
    Email Dr Yeslam Al-Saggaf
  • Invading privacy at country level: the case of Google -
    Email Dr Yeslam Al-Saggaf
  • Dimension reduction in image analysis –
    Email Dr Lihong Zheng
  • Image retrieval and object detection -
    Email Dr Lihong Zheng
  • Business to Business collaboration while hiding sensitive information -
    Email Dr Zahid Islam
  • A Novel Decision Tree Algorithm for Extraction of Hidden Patterns that are Generally Missed Out by Existing Algorithms -
    Email Dr Zahid Islam
  • Complexity Reduction of Artificial Neural Network Algorithms -
    Email Dr Zahid Islam
  • Vulnerability patching in smart phones -
    Email Dr Tanveer Zia
  • Visualize facebook -
    Email Dr Xiaodi Huang
  • A novel application of Internet of things -
    Email Dr Xiaodi Huang
  • Biologically inspired computation for anomaly detection -
    Email Maumita Bhattacharya
  • Very High Dimensional Function Optimisation: A Meta heuristics Approach -
    Email Maumita Bhattacharya
  • Financial Fraud Detection: A Computational Intelligence Approach -
    Email Maumita Bhattacharya
  • LTSA-based Image Matting Algorithm –
  • Image Filtering with Local Tangent Space Alignment -
    Email Professor Junbin Gao
  • Human/Car detection for video surveillance and security -
    Email Dr Manoranjan Paul
  • Mind reading through eye tracker -
    Email Dr Manoranjan Paul
  • Measuring information flow in herding phenomena in economics and finance -
    Email Professor Terry Bossomaier
  • Usability requirements for the use of Natural User Interface controls in mobile computing devices -
    Email Dr Michael Antolovich
  • Krylov subspace methods for linear ODE systems -
    Email Dr Michael Kemp
  • Mobile gaming power consumption –
  • Opponent Simulation in Computer Games -
    Email Dr Jim Tulip

Our Research Environment

The academic and research staff within the School enjoy several dedicated lab facilities established under the Research Block Grants, formerly Research Infrastructure Block Grants (RIBG).

High Performance Computing Facilities

Research computer system maintained by Spatial Data Analysis Network (SPAN) at Charles Sturt University. The system is configured as 4 x 12 core Intel Xeon E7-8857v2 3GHz processors, 1024Gb RAM, 45 Terrabytes of disk storage, and installed licensed software such as Mathworks MatLab, which is critical to the research staff and students in the School.

To gain access to Ada, researchers can apply by contacting Gary McKenzie at SPAN directly via email: gmckenzie@csu.edu.au or phone 02 6933 2165.

Labs

  • Mining Research Lab
  • 3G Visualization Lab
  • Computer Vision Lab
  • Robotics Lab
  • Intelligent Learning Systems Lab
  • High Performance Computing Lab
  • Advanced Network Lab
  • Research Issues:
    Professor Junbin Gao (Chair of the School Research Committee)
    Email jbgao@csu.edu.au, phone/fax: +61 2 6338 4213
  • PhD/DIT Research Issues:
    Dr Tanveer Zia (PhD Program Coordinator)
    Email: tzia@csu.edu.au, phone/fax: +61 2 6933 2024
  • Honours Research Issues
    Dr Zahid Islam (Honours Program Coordinator)
    Email: zislam@csu.edu.au, phone/fax: +61 2 6338 4214
  • School Seminar Issues
    Dr Manoranjan Paul (Seminar Coordinator)
    Email: mpaul@csu.edu.au, phone/fax: +61 2 6338 4260