Information Processing and Computational Intelligence

Mission

Our mission is to promote high-quality research in information processing and computational intelligence, and to solve problems of vital importance to communication networks, multimedia systems, bioinformatics, and intelligent machines.

Lab Co-ordinators

A/Prof Yong Xiang
(Expertise: blind signal/system estimation, digital watermarking, sensor networks, statistical signal processing, compressed sensing, time-frequency analysis, and data classification and clustering.)

Prof Gleb Beliakov
(Expertise: fuzzy systems, aggregation operators, numerical approximation, spline functions, robust regression, continuous global optimisation, computational intelligence techniques, data analysis, and GPU computing.)

Lab members

Dr Shaun Bangay
(Expertise: texture synthesis, image inpainting, terrain synthesis, character modelling, and complex systems.)

Prof Lynn Batten
(Expertise: malicious software, information security and reliability, cryptology, computer forensics, coding theory, and optimization techniques.)

Dr Honghua Dai
(Expertise: Reliability and security issues in knowledge discovery, minimum message length principle based graph discovery, data mining and inexact field leaning, anomaly detection and abrupt emergency monitoring, and data mining for software engineering and knowledge engineering.)

Dr Robin Doss
(Expertise: communication protocols, multi-hop networks, RFID systems, network security, lightweight cryptography, query processing in autonomous networks, secure protocols, security/privacy analysis, and network simulations.)

Dr Jingyu Hou
(Expertise: knowledge discovery from massive interacting data, semantic relation measurement, protein function prediction, biological data reliability, microarray data processing and gene interaction pattern recognition, and Web community and information retrieval.)

Dr Simon James
(Expertise: aggregation operators, fuzzy sets, interval-valued functions, and classification.)

Dr Gang Li
TULIP Lab (Team for Universal Learning and Intelligent Processing - www.tulip.org.au)
(Expertise: data and security issues in web services, data mining and behaviour informatics, and business intelligence.)

Dr Vicky Mak
(Expertise: Logistics, machine and robotics scheduling, vehicle and airline routing, radiotherapy treatment planning and outcome prediction, network design, combinatorial optimisation, meta-heuristics, integer linear programming, constraint programming, and hybrid methods.)

Mr Tim Wilkin
(Expertise: dynamical systems, artificial/computational intelligence, mobile robotics, and simulation.)

Prof Yang Xiang
(Expertise: network and system security, distributed systems, and networking)

Dr Shui Yu
(Expertise: networking theory, mathematical modelling, and cyber security.)

Prof Wanlei Zhou
(Expertise: distributed and parallel systems, network and system security, mobile computing, bioinformatics, and e-learning.)

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Major research themes

Smart information sensing and understanding
We investigate techniques that enable more efficient collection and better understanding of information, such as compressed sensing, statistical signal processing, statistical data analysis, blind estimation, and time-frequency analysis.

Aggregation operators and fuzzy systems
Our focus is on techniques of combining membership degrees, indicators and criteria into a representative value. We study various means, triangular norms and conforms, fuzzy measures and integrals, in particular their empirical identification, fitting to data and usage in applications. We study intuitionistic and interval-valued aggregation, fuzzy implications and applications in image processing and regression.

Data mining
We study modern data analysis and pattern recognition techniques, including classification, regression and clustering, from various perspectives: development of new robust and application-tailored methods, knowledge discovery, casual discovery, reliability, applications to multimedia processing, web services, and tourism and management.

Flexible and reliable information transmission
The focus of this research is on flexible and reliable transmission of information via wireless communication networks, with particular interests in wireless sensor networks, precoder design, MIMO systems, and information security in wireless communication systems.

Numerical optimisation
We research modern global optimisation methods, branch-and-bound techniques, integer programming, and their applications to data analysis, aggregation operators, radiotherapy planning, and scheduling.

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Software

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