Computational Intelligence and Robotics - Faculty of Business

Computational Intelligence and Robotics (CIR)

Research Area leaders: Professor Junbin Gao and Dr Michael Antolovich

Overview
Members
Projects
Current Students
PHD/DIT Topics
Honours Topics

The CIR Research Area (RA) is one of the long term successful and focused research areas within the Faculty of Business. The researchers working in this research area are the key members of Computational Intelligence Research Group within the School of Computing and Mathematics, and their research is well aligned with the major themes of CRiCS (Centre for Research in Complex System).

The aim of this RA is to address real world problems in relation to smart information technologies in industries and Australian public sectors with the mission to serve communities through advancing frontier technology. This RA is well aligned with the national research priority Frontier Technologies for Building and Transforming Australian Industries. Under this RA, the group members are to devote their efforts to the four major themes with a wide spectrum of research concerning smart information use covering:

Intelligent Computation (IC)
Image, Video and Vision Research (IVVR)
Robotics and Automatics (RA)
Data Analytics and Making Sense of Data (DAMSD)

These research themes develop a set of innovative methodologies and techniques for smart information processing and system building for a broad range of practical applications for industries, including mining, engineering, management and health, and public sectors.

The research group accommodates a range of members from earlier career researchers, established researchers and some internationally recognized researchers. Several members have been actively engaged in conducting CRC Projects, ARC Discovery and Linkage Projects, Industry Funded Projects, and Projects funded by international funding body such as National Science Foundation of China (NSFC). Most of their research works have been widely published in internationally top ranked journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks, Neural Computation, Machine Learning, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE on Multimedia and major international conference proceedings such as ICIP, ICASSP, ICME, CEC, GECCO and IJCNN.

The group enjoys several dedicated lab facilities established by CRiCS. The labs include a 3G Visualization Lab, a Computer Vision Lab, a Newcrest Mining lab, Robotics lab and High Performance Computing Lab. These labs not only enable the group members to conduct their research activities but also help PhD students to do their research.

Name	Title/Position	Employer if not Faculty of Business, CSU	Location
Terry Bossomaier	Professor		Bathurst
Junbin Gao	Professor		Bathurst
Michael Antolovich	Senior Lecturer		Bathurst
Xiaodi Huang	Senior Lecturer		Albury
David Tien	Senior Lecturer		Bathurst
Maumita Bhattacharya	Lecturer		Albury
Michael Kemp	Lecturer		Orange
Zahidul Islam	Lecturer		Bathurst
Manoranjan Paul	Lecturer		Bathurst
Jim Tulip	Lecturer		Bathurst
Lihong Zheng	Lecturer		Wagga
Chandana Withana	Lecturer	Study Group, Sydney	Sydney
Sudath Heiyantuduwage	Lecturer	Study Group, Sydney	Sydney
Daming Shi	Professor	Harbin Institute of Technology and Middlesex University	London, UK Harbin, China
Xia Hong	Reader	University of Reading	Reading, UK
Paul Kwan	Senior Lecturer	University of New England	Armidale

+ Current Projects

Project Name	Brief Description	Research Themes	Funding Body	Investigators
Investigation of Imaging Techniques to Determine Muck Pile Ore Fragment Size In-Situ	We investigate real-time techniques for detection of larger size ore fragment in muck pile under the production environment.	IVVR RA	Newcrest Mining Australia	Michael Antolovich and Junbin Gao
Twin Measure Framework for Dimensionality Reduction	This project aimed developing a family of efficient nonlinear dimensionality reduction algorithms for data visualization.	IC DAMSD	CSU Competitive	Junbin Gao
Data Mining Techniques to Increase the Accuracy of Land and Property Valuation	In this project we are using agent based modelling for land and property valuation.	DAMSD	Compact funding	Terry Bossomaier, Junbin Gao and Zahid Islam
Social e-solutions	Make use of social webs such as Facebook and Twitter to provide some business solutions.	DAMSD	European research project	Xiaodi Huang
SITAC( Social Internet of Things-Apps by and for the Crowd)	Design and build a prototype of social Internet of Things.	IC DAMSD	European research project	Xiaodi Huang
Efficient Low-Resolution Image Segmentation	The similarity measure criteria play critical role in accurate segmentation. This project aims at finding an appropriate similarity measure to extract objects in an image efficiently.	IVVR	Compact funding	Lihong Zheng and Junbin Gao
Computational Intelligence for Anomaly Detection in Networks: An Investigation	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 investigate.	IC	Compact funding	Maumita Bhattacharya and Tanveer Zia
Engineering Meta-heuristics for Very High Dimensional Function Optimisation	This project aims at developing enhanced meta-heuristic algorithms for very high dimensional optimisation problems.	IC		Maumita Bhattacharya
3D Video Coding	The project investigates the video coding technologies for multiview video coding.	IVVR	Compact funding	Manoranjan Paul
Understanding Human Behaviour Through EEG Signal and Eye Sensing Technology	The project investigates the perceived quality measurement for audio-visual data by analysing brain and eye tracking signals.	IVVR	CSU International PhD Scholarship	Manoranjan Paul
Agent Detections for Video Surveillance from Challenging Environment	The project investigates the strategies to identify active agents such as car, human, etc. from a surveillance video sequence.	IVVR	Compact funding	Manoranjan Paul
3D Video Compression for Real Time Communications	The project investigates a novel theoretical framework for multiview coding using volumetric data compression for better interactivity.	IVVR RA	ARC Discovery	Manoranjan Paul & Manzur Murshed
Probabilistic Twin Measure Framework for Dimensionality Reduction	Develop nonlinear dimensionality reduction algorithm for data visualization	IC DAMSD	ARC Discovery	Junbin Gao

+ Past Projects

Project Name	Brief Description	Research Themes	Funding Body	Investigators
The Physics of Network Computation	This project combines expertise in nonlinear soliton physics and computational sciences in order to provide new insights into the physics of network computation.	IC	ARC Discovery	Allan Snyder and Terry Bossomaier
Content Based Imagery Retrieval in Spatial Data Mining	This project investigates content based image retrieval for enhancing spatial data mining with a strong focus on Australian satellite and aerial images.	IVVR	CRC for Spatial Information	David Tien, Terry Bossomaier and David Cornforth
Non-vectorial Kernel Machine and its Application in Active Shape Modelling	The project investigates the efficient models for shapes in image or video in order to provide foundation for object recognition.	IC IVVR	National Natural Science Foundation of China	Junbin Gao
Video Coding Focusing on Moving Regions and Occlusion	This project investigates to improve video quality by exploiting block-level moving regions with adaptive pattern templates and handling object-occlusion problems with dynamic background modelling.	IVVR	Monash University Competitive Grant	Manoranjan Paul
Video Signal Processing and Communication	This project investigates the video data correlations and proposes a mathematical modelling for correlation to improve the quality of video processing and communications.	IVVR	ARC Research Network EII	Manoranjan Paul
Efficient Distributed Video Coding	This project investigates the statistical behaviour of video compression using a Wyner-Ziv video codec by comparing video quality.	IVVR	URECA, Nanyang Technological University	Manoranjan Paul
Abnormal Event Detection	The project captures surveillance video data from different locations and uses that for post-incident analysis and then provides support for automatic tracking and early recognition of suspicious activities before any undesirable event happens.	IVVR	URECA, Nanyang Technological University	Manoranjan Paul
Algorithms for Graph Layout	development of efficient algorithms for displaying graphs on a screen in a way that satisfies specified constraints.	IC	University of New England, Competitive Grant	Xiaodi Huang
A Concurrent Hybrid Approach to Secure Computer Systems	This project aims at developing Artificial Immune System-based IDS using a concurrent hybrid approach which incorporates both analysis and visualization of network traffic data.	IC	CSU Competitive Grant	Maumita Bhattacharya and Xiaodi Huang
Visualization of Complex Networks	Design and developments of approaches and algorithms for visualizing large complex networks such as online social networks in an interactive way	IC IVVR	Faculty Seed Grant	Xiaodi Huang
Learning based Boundary/Contour Extraction	Automatic Number Plate Recognition (ANPR) is required due to increasing traffic management. This project will deliver a technology capable of efficiently extracting trustful boundary feature for car number plates.	IVVR	CSU Small Grant	Lihong Zheng
Efficient Character Segmentation in ANPR	This project will deliver a accurate and efficient technology to cut characters from located images of car number plates.	IVVR	Faculty Seed Grant	Lihong Zheng

Student	Award	Topic	Supervisor
Timothy Dobson	Hons	Representation learning in games technology.	Dr Jim Tulip jtulip@csu.edu.au 02 6338 4931
Saliya Wimalartne	Hons	Investigation on a biologically inspired heuristic and its application to computer security.	Dr Maumita Bhattacharya mbhattacharya@csu.edu.au 02 6051 9619

The following opportunities exist in Computational Intelligence and Robotics:

Supervisor	Topic
Dr Manoranjan Paul mpaul@csu.edu.au 02 6338 4260	Conversion of 2D video to 3D video 3D video coding for real time communications Panic-Driven event detection for video surveillance
Professor Junbin Gao jbgao@csu.edu.au 02 6338 4213	Image analysis and computational photography Object recognition in images and scene understanding Machine learning in finance
Dr Zahid Islam zislam@csu.edu.au 02 69332415	Data mining techniques to reduce security and privacy threats Data cleansing and pre-processing to improve data quality Data analysis to predict the future and make better business decision
Dr Lihong Zheng lzheng@csu.edu.au 02 6933 2387	Biomedical image analysis
Dr Maumita Bhattacharya mbhattacharya@csu.edu.au 02 6051 9619	Meta-heuristics for very high dimensional optimisation problems
Dr Xiaodi Huang xhuang@csu.edu.au 02 6051 9652	E-recommendation algorithms and systems Algorithms for visualization of large graphs

Supervisor	Topic
Dr Manoranjan Paul mpaul@csu.edu.au 02 6338 4260 Bathurst Discipline: Computer Science	Fall detection Visual attention modelling
Professor Junbin Gao jbgao@csu.edu.au 02 6338 4213 Bathurst Discipline: Computer Science	Learning image features from web Data clustering in 3D scene learning
Dr Zahid Islam zislam@csu.edu.au 02 69332415 Bathurst Computer Science	Equipment failure prediction through artificial neural networks
Dr Lihong Zheng lzheng@csu.edu.au 02 6933 2387 Wagga Wagga Discipline: Computer Science	Efficient segmentation on low resolution image
Dr Maumita Bhattacharya mbhattacharya@csu.edu.au 02 6051 9619 Albury-Wodonga Discipline: Computer Science	Biologically inspired meta-heuristics for computer security Computational Intelligence for business decision making
Dr Xiaodi Huang xhuang@csu.edu.au 02 6051 9652 Albury-Wodonga Discipline: Computer Science	Visualization in Internet of things Visualization in cloud computing