Research Themes
Research within the IDA Group is organised into the following four
major themes. There are often, however, strong interactions and
synergies among these
individual themes.
Biomedical Informatics, Genomics, and Systems Biology
This research theme is concerned with the management,
analysis and interpretation of a variety of biological and medical data
to reveal hidden secrets in the health/disease process.
Research topics include DNA microarray data analysis and modelling,
integration of expression data, protein family,
related structural and function data to reveal gene
function, study of associations between genotype and phenotype to
understand the disease process, and research and development of
clinical decision support systems, e.g. in the areas of managing glaucoma
and muscular dystrophy.
Selected Publications
-
V Vinciotti, X Liu, R Turk, E de Meijer and P t Hoen, "Exploiting the Full
Power of Temporal Gene Expression Profiling through a New Statistical Test:
Application to the Analysis of Muscular Dystrophy Data",
BMC Bioinformatics,
7:183, (2006).
-
S Khalid, K Fraser, M Khan, P Wang, X Liu and S Li, "Analysing
Microarray Data using the Multi-functional Immune Ontologiser", Journal of
Integrative Bioinformatics, 3(2):25, (2006).
http://journal.imbio.de/index.php?paper_id=25
-
V Vinciotti, A Tucker, P Kellam and X Liu, "The Robust Selection of Predictive
Genes via a Simple Classifier", Applied Bioinformatics, 5:1-12, (2006).
-
R Khanin, V Vinciotti and E Wit, "
Reconstructing repressor protein levels from expression of gene targets in
E.Coli", PNAS 103(49):18592-6, 2006.
-
N Strouthidis, V Vinciotti, A Tucker, S Gardiner, D Crabb, and D F
Garway-Heath, "Structure and Function in Glaucoma: The Relationship
Between a Functional Visual Field Map and an Anatomical Retinal Map",
Investigative Opthalmology and Visual Science, in press.
-
V Vinciotti, R Khanin, D DAlimonte, X Liu, N Cattini, G Bucca,
O de Jesus, J Rasaiyaah, C Smith, P Kellam and E Wit,
"
An Experimental
Evaluation of Loop versus Reference Design for Two-Channel Microarrays",
Bioinformatics, 21:492-501, (2005).
-
A Tucker, V Vinciotti, X Liu and D Garway-Heath, "A Spatio-Temporal Bayesian
Network Classifier for Understanding Visual Field Deterioration", Artificial
Intelligence in Medicine, 34:163-177, (2005).
-
S Swift, A Tucker, V Vinciotti, N Martin, C Orengo, X Liu and P Kellam,
"
Consensus Clustering and Functional Interpretation of Gene Expression Data
",
Genome Biology, 5:R94, (2004).
-
K Fraser, P O'Neill, Z Wang and X Liu, "Copasetic Analysis: A Framework for the
Blind Analysis of Microarray Imagery", Systems Biology, 1:190-196,
(2004).
-
H Critchlow, A Payne, and D Griffin, "Genes and Proteins Involved in
the Control of Meiosis", Cytogenetic and Genome Research 105:4-10,
(2004).
-
P O'Neill, G Magoulas, and X Liu, "Improved Processing of
Microarray Data using Image Reconstruction", IEEE Transactions on
Nanobioscience, 2(4), 176-183, (2003)
-
S Swift and X Liu, "Predicting Glaucomatous Visual Field Deterioration Through
Short Multivariate Time Series Modelling",
Artificial Intelligence in Medicine, 24:5-24, (2002).
-
P Kellam, X Liu, N Martin, C Orengo, S Swift and A Tucker,
"A Framework for
Modelling Virus Gene Expression Data",
Intelligent Data Analysis, 6:265-279, (2002).
-
D Bessant, A Payne, K Mitton, Q Wang, K Swain,
C Plant, A Bird, D Zack, A Swaroop, S Bhattacharya SS,
"A mutation in the bZIP transcription factor NRL is associated
with autosomal dominant retinitis pigmentosa in a family linked to a
novel locus at 14q11",
Nat Genet.,
21(4):355-6, (1999).
-
K Cho, X Liu, G Loizou and J Wu, "An AI Approach to Dynamic Visual
Field Testing",
Journal of Biomedical Informatics, 31:143-63, (1998).
-
X Liu, G Cheng and J Wu, "AI for Public Health:
Self-Screening for Eye
Diseases",
IEEE Intelligent Systems, 13(5):28-35, (1998).
Data Mining and Intelligent Systems
This research theme aims to develop various computationally
intelligent techniques that will uncover useful knowledge
from large amount of data. Research topics include
Bayesian networks, customisation, evolutionary computation,
human-computer collaboration,
mining cognitive styles, neural networks,
outlier detection and analysis, personalisation,
pattern recognition, robotics, support vector machines,
user modelling, and web
navigation patterns.
Selected Publications
-
Z Wang, Y Liu, M Li, and X Liu, "Stability Analysis for Stochastic
Cohen-Grossberg Neural Networks with Mixed Time Delays", IEEE Transactions on
Neural Networks, in press
-
A Tucker, J Crampton, S Swift, "RGFGA: An Efficient Representation and
Crossover for Grouping Genetic Algorithms",
Evolutionary Computation, 13(4):477-99, 2005.
-
E Frias-Martinez, S Chen, and X Liu, "Data Mining Approaches to User Modeling
for Adaptive Hypermedia: Survey and Future Directions", IEEE Transactions on
Systems, Man and Cybernetics - Part C, in press.
-
S Counsell, J Crampton, and S Swift, "The Interpretation and Utility of
Three Cohesion Metrics for Object-Oriented Design", ACM Transactions on
Software-Engineering and Methodology, in press.
-
S Lauria, G Bugman, T Kyriacou, and E Klein,
"Vision-Based Urban Navigation Procedures for Verbally Instructed Robots",
Robotics and Autonomous Systems, in press.
-
E Frias-Martinez, S Chen, and X Liu, "Automatic Cognitive Style Identification
of Digital Library Users for Personalization", Journal of the
American Society
for Information Science and Technology, in press
-
Y Liu, Z Wang, and X Liu, "Global Exponential Stability of Generalized
Recurrent Neural Networks with Discrete and Distributed Delays",
Neural Networks, in press.
-
W Sheng, S Swift, L Zhang and X Liu, "A Weighted Sum Validity Function for
Clustering With a Hybrid Niching Genetic Algorithm", IEEE Transactions on
Systems, Man and Cybernetics - Part B, 35:1156-1167, 2005.
-
Z Wang, D Ho and X Liu, "State Estimation for Delayed Neural Networks",
IEEE Transactions on Neural Networks, 16:279-284, (2005)
-
Z Wang, Y Liu and X Liu, "On Global Asymptotic Stability of Neural Networks
with Discrete and Distributed Delays", Physics Letters A,
345:299-308, 2005.
-
S Chen, and X Liu, "The Contribution of Data Mining to Information
Science", Journal of Information Science 30:550-558, (2004).
-
S Lauria, G Bugman, T Kyriacou, and E Klein, "Mobile Robot
Programming Using Natural Language", Robotics and Autonomous Systems,
38 (3-4), (2002)
-
X Liu, G Cheng and J Wu, "Analysing
Outliers Cautiously",
IEEE Transactions on
Knowledge and Data Engineering, 14:432-437, (2002).
-
S Lauria, G Bugman, T Kyriacou, J Bos, and E Klein,
"Personal Robot Training Via Natural Language Instructions", IEEE
Intelligent Systems 16(4):38-46, (2001).
-
S Swift, A Tucker, N Martin and X Liu, "Grouping Multivariate Time
Series Variables: Applications to Chemical Process and Visual Field Data",
Knowledge-Based Systems, 14, 147-154, (2001)
-
A Tucker, X Liu and A Ogden-Swift, "Evolutionary Learning of Dynamic
Probabilistic Models with Large Time Lags",
International Journal of Intelligent Systems, 16:621-645, (2001).
-
H Dettmar, X Liu, R Johnson and A Payne, "Knowledge-Based Data Generation",
Knowledge-Based Systems, 11(3-4):167-77, (1998).
-
M Berthold, P Cohen and X Liu, "Intelligent Data Analysis:
Reasoning about Data",
AI Magazine, 19(4):131-4, (1998).
Dynamics, Signals and Time Series
This research theme is concerned with the analysis and synthesis of dynamical
behaviours for a variety of complex systems in signal processing and
multivariate time series with promising applications to bioinformatics,
robotics and communications. Research topics include, but not limited to,
modelling, analysing, filtering, transmitting, estimating, detecting,
synthesising and reproducing multivariate dynamics (signals or time series) by
integrating the latest techniques from mathematics, statistics, dynamical
systems, and computationally intelligent methods.
Selected Publications
-
Z Wang, F Yang, D Ho and X Liu, "Robust H-infinity filtering for stochastic
time-delay systems with missing measurements", IEEE Transactions on Signal
Processing, in press.
-
S Swift, J Kok, and X Liu, "Learning Short Multivariate Time Series
Models through Evolutionary and Sparse Matrix Computation", Natural
Computing,
in press
-
Y Liu, Z Wang and X Liu, "Global Asymptotic Stability of Generalized
Bi-Directional Associative Memory Networks with Discrete and Distributed
Delays", Chaos, Solitons and Fractals, 28(3):793-803, (2006)
-
F Yang, Z Wang, D Ho and X Liu, "Robust H-2 Filtering for A Class of Systems
with Stochastic Nonlinearities", IEEE Transactions on Circuits and Systems -
Part II, 53:235-239, 2006.
-
A Tucker and X Liu, "A Bayesian Network Approach to Explaining Time Series
with Changing Structure", Intelligent Data Analysis, 8:469-480, (2004)
-
Z Wang, J Lam, and X Liu, "Exponential Filtering for Uncertain Markovian Jump
Time-Delay Systems with Nonlinear Disturbances", IEEE Transactions on
Circuits
and Systems - Part II; 51:262-268, (2004).
-
Z Wang and X Liu, "On Designing H-infinity Filters with Circular
Pole and Error Variance Constraints", IEEE Transactions
on Circuits and Systems II, 50:139-43, (2003)
-
Z Wang, D Ho and X Liu, "Variance-Constrained Filtering for
Uncertain Stochastic Systems with Missing Measurements",
IEEE Transactions on
Automatic Control, 48, 1254-1258, (2003)
-
Z Wang, J Lam and X Liu, "Nonlinear Filtering for State
Delayed Systems with Markovian Switching", IEEE Transactions on Signal
Processing, 51, 2321-2328, (2003)
-
Z Wang and H Qiao, "Robust filtering
for bilinear uncertain stochastic discrete-time systems",
IEEE Transactions on Signal Processing, 50:560-567, (2002).
-
Z Wang, J Lam and K J Burnham,
"Stability analysis and observer
design for neutral delay systems",
IEEE Transactions on Automatic Control, 47:478-483. (2002).
-
Z Wang and F Yang, "Robust filtering
for uncertain linear systems with delayed states and outputs",
IEEE Transactions on Circuits and Systems I,
49:125-130, (2002)
-
A Tucker, S Swift and X Liu, "Variable Grouping
in Multivariate Time Series via Correlation",
IEEE Transactions on Systems, Man & Cybernetics: Part B:
Cybernetics, 31:235-245, (2001).
-
Z Wang, B Huang and K Burnham, "Stochastic
reliable control of a class of
uncertain time-delay systems with unknown nonlinearities",
IEEE Transactions on Circuits and Systems I, 48:646-650, (2001)
-
A Tucker, X Liu and A Ogden-Swift, "Evolutionary Learning of Dynamic
Probabilistic Models with Large Time Lags",
International Journal of Intelligent Systems, 16:621-645, (2001).
-
Z Wang and K Burnham, "Robust filtering
for a class of stochastic
uncertain nonlinear time-delay systems via exponential state estimation",
IEEE Transactions on Signal Processing, 49:794-804, (2001).
Visual Computing
This research theme is concerned with the study of broad areas of computer
vision, graphics and visualisation. Current research include the following:
human centered video analysis (including dynamic face recognition, gesture
recognition and visual context computing), sport video annotation, video
surveillance, road sign recognition, texture synthesis, non-photorealistic
rendering, image inpainting, and
amplifiable bi-directional texture functions for 3D high fidelity images.
Selected Publications
-
F Dong, and G Clapworthy, "Volumetric Texture Synthesis for
Non-Photorealistic Volume Rendering of Medical Data", The Visual Computer, 21
(7) : 463-472, (2005)
-
P O'Neill, K Fraser, Z Wang, P Kellam, J Kok, and X Liu, "Pyramidic
Clustering of Large Scale Microarray Images", The Computer Journal,
48:466-479, 2005.
-
F Dong, G Clapworthy, H Lin, "Cutting and Pasting Irregularly-Shaped
Patches for Texture Synthesis", Computer Graphics Forum, 24(1):
17-26,
2005.
-
Y Li, "On incremental and robust subspace learning",
Pattern Recognition, 37:
1509-1518, (2004).
-
Y Li, S Gong, J Sherrah and H Liddell, "Support Vector Machine based
multi-view face detection and recognition", Image and Vision Computing,
22:413-427, (2004).
-
K Fraser, P O'Neill, Z Wang and X Liu, "Copasetic Analysis: A Framework for the
Blind Analysis of Microarray Imagery", Systems Biology, 1:190-196,
(2004).
-
F Dong, G Clapworthy, H Lin, M Krokos, "Volumetric Hatching: Illustration
of Medical Volume Data Using Line Strokes", IEEE Computer Graphics
and Applications, 23(4):44-52, 2003.
-
Y Li, S Gong and H Liddell, "Constructing facial identity surfaces for
recognition", International Journal of Computer Vision, 53:71-92,
(2003).
-
Y Li, S Gong and H Liddell, "Recognising trajectories of facial identities
using Kernel Discriminant Analysis", Image and Vision Computing,
21:1077-1086, (2003).
-
P O'Neill, G Magoulas, and X Liu, "Improved Processing of
Microarray Data using Image Reconstruction", IEEE Transactions on
Nanobioscience, 2(4), 176-183, (2003)
-
F Dong, G Clapworthy, M Krokos, J Yao, "An Anatomy-Based Approach to
Human Muscle Modeling and Deformation", IEEE Trans. on Visualization and
Computer Graphics, 8(2):154-170, 2002