**Professor
Xiaohui Liu (PhD, CEng, FBCS)**

College of
Engineering, Design and Physical Sciences

Department of Computer Science, Brunel
University London, UB8 3PH,
United Kingdom

Tel: (+44)(0)1895 265989 Fax: (+44)(0)1895 251686 Email: Xiaohui.Liu@brunel.ac.uk

I joined
Brunel as Professor of Computing in 2000. Prior to that, I was a member of
academic staff at Birkbeck, University of London in
Computer Science and research staff at Durham and Heriot-Watt Universities in
Engineering. At Brunel, I was Director of Research for the School of
Information Systems, Computing and Mathematics (2006-2014) and Doctoral
Programme Director for Computer Science (2008-2013).

My research
interests include the construction of computationally intelligent algorithms,
software and systems as well as the integration, analysis and visualisation of
large-scale, fast evolving real-world complex data. I chaired the first (see
the conference
report) & second International
Symposia on Intelligent Data Analysis in 1995 & 1997. More recently, I have
been calling for the introduction of a new A-level course in the UK on *Data Analytics* to lay a firm foundation
for next generation data scientists in light of Big Data (see an official
report: A
World Full of Data by Roger Porkess, launched by
the Royal Statistical Society and the Institute and Faculty of Actuaries on 11
September 2013).

I have advised funding agencies on
interdisciplinary research programmes in data analytics, genomics and security
as well as served on grant panels of research councils in the UK, including the
BBSRC, EPSRC and NERC. Recently I have
been named as a 2016
Web of Science Highly Cited Researcher (HCR). Previously I was also
included in the list of Thomson Reuters HCRs in 2014 and in 2015.

**News**: Miqing Li, a PhD student at the Centre for
Intelligent Data Analysis, was announced as the **winner** of
the *Best Student Paper* award at the *IEEE Congress on
Evolutionary Computation (CEC-2014)** *for the paper entitled “A
Test Problem for Visual Investigation of High-Dimensional Multi-Objective
Search”.

**Books/Edited
Collections**

o
G Huang, X Liu, J He, F Klawonn, and G Yao
(Eds.), “Health Information Science”, *Lecture
Notes in Computer Science 7798*, Springer, 2013

o
K Fraser, Z Wang and X Liu, "Microarray Image Analysis: an
Algorithmic Approach", *Chapman & Hall/CRC*, 2010.

o
S Chen, R Macredie, X Liu, and A Sutcliffe, Special Issue on “Data Mining for Understanding
User Needs”, *ACM Transactions on
Computer-Human Interaction*, 17(1), 2010.

o
Z Wang and X Liu (Eds), Special issue on
"Intelligent Computation for Bioinformatics", *IEEE Transactions on Systems, Man, and Cybernetics - Part C,* 38(1),
2008.

o
F Famili, X Liu and J Pena (Eds), *Proceedings of the ECAI Workshop on Data Mining in
Functional Genomics and Proteomics: Current Trends and Future Directions*,
Valencia, 2004.

o
R Bellazzi, B Zupan
and X Liu (Eds), *Proceedings of the 6th
International Workshop on Intelligent Data Analysis in Medicine and
Pharmacology*, London, 2001.

o
X Liu (Ed), Special Issue on “Progress in Intelligent Data Analysis”, *International** Journal of Applied
Intelligence*, 11(3), 1999.

o
X Liu, P Cohen and M Berthold (Eds), Special
Issue on “Reasoning about Data”, *Intelligent
Data Analysis: an International Journal*, 2(2), 1998.

o
X Liu, P Cohen and M Berthold (Eds),
"Advances in Intelligent Data Analysis", *Lecture Notes in Computer
Science 1280*, Springer, 1997.

**Chapters in Encyclopedia
and Books**

o
X Liu (2005) "Intelligent Data Analysis", *Encyclopedia of
Data Warehousing and Mining*, 634-638.

o
S Chen and X Liu (2004) "Data Mining in Practice", *Encyclopedia
of Information Science and Technology*, 723-728.

o
X Liu and P Kellam (2003) "Mining Gene
Expression Data", *Bioinformatics: Genes, Proteins & Computers, C A Orengo, D T Jones & J M
Thornton (Eds)*, BIOS Scientific Publishers,
229-244.

o
X Liu (2003) "IDA Systems and Applications", *Intelligent
Data Analysis: an Introduction, M Berthold and D J Hand (Eds)*,
2nd edition, Springer-Verlag, 429-444.

**Papers in Referred Journals**

o
**M Li**,
S Yang, and X Liu (2016), “Pareto or Non-Pareto: Bi-Criterion Evolution in Multi-Objective
Optimization”, *IEEE Transactions on Evolutionary Computation, *in press.

o
R Hierons, M Li, X Liu, S Segura, and W Zheng (2016), “SIP:
Optimal Product Selection from Feature Models Using Many Objective Evolutionary
Optimisation”, *ACM Transactions on Software Engineering and Methodology, *in press

o
L Zou, Z
Wang, H Gao and X Liu (2016), “State Estimation for Discrete-Time Dynamical
Networks with Time-Varying Delays and Stochastic Disturbances under the
Round-Robin Protocol”, *IEEE Transactions on Neural Networks and Learning
Systems*, in press.

o
D Chen, Y
Tian and X Liu (2016) “Structural Non-Parallel Support Vector Machine for
Pattern Recognition”, *Pattern Recognition*,
60:296-305.

o
W Zheng, R Hierons, M Li, X Liu, and V Vinciotti
(2016), “Multi-Objective Optimisation for Regression Testing”, *Information
Sciences*, 334-335:1-16.

o
J Xie, H Gao, W Xie, X Liu, and P
Grant (2016), “Robust clustering by detecting density peaks and assigning
points based on fuzzy weighted K-nearest neighbours”, *Information Sciences*,
354:19-40.

o
M Li, S Yang
and X Liu (2015), “Bi-Goal Evolution for Many-Objective Optimization Problems”, *Artificial**
Intelligence*, 228: 45-65.

o
L Hu, Z Wang
and X Liu, “Dynamic State Estimation of Power Systems with Quantization
Effects: a Recursive Filter Approach”, *IEEE Transactions on Neural Networks
and Learning Systems*, in press

o
Z Zhu, G
Zhang, M Li and X Liu (2016)“Evolutionary
Multi-Objective Workflow Scheduling in Cloud”, *IEEE Transactions on Parallel and Distributed Systems*,
27(5):1344-1357.

o
L Zou, Z
Wang, H Gao and X Liu, “Event-Triggered State Estimation for Complex Networks
with Mixed Time Delays via Sampled Data Information: the Continuous-Time Case*”, IEEE Transactions on Cybernetics*, in
press.

o
L Hu, Z
Wang, I Rahman and X Liu (2016) “A Constrained Optimization Approach to Dynamic
State Estimation for Power Systems Including PMU Measurements”, *IEEE
Transactions on Control Systems Technology*, 24(2):703-710.

o
D Kaba, Y Wang, C Wang, X Liu,
H Zhu, A G Salazar-Gonzalez and Y Li (2015) “Retina Layer Segmentation Using
Kernel Graph Cuts and Continuous Max-Flow”, *Optics
Express*, 23(6):7366-84.

o
C Cai, Z Wang, J Xu, X Liu and F Alsaadi
(2015) “An Integrated Approach to Global Synchronization and State Estimation
for Nonlinear Singularly Perturbed Complex Networks*”**, IEEE** Transactions on Cybernetics*, 45(8) :1597-1609.

o
A Tarhini, K Hone and X Liu (2015) “A Cross‐Cultural
Examination of the Impact of Social, Organisational and Individual Factors on
Educational Technology Acceptance between British and Lebanese University
Students”, *British Journal of Educational
Technology*, 46(4): 739-755.

o
M Li, S
Yang, and X Liu (2014) “Shift-Based Density Estimation for Pareto-Based
Algorithms in Many-Objective Optimization”, *IEEE Transactions on
Evolutionary Computation*, 18(3): 348-365, 2014.

o
M Li, S
Yang, J Zheng, and X Liu (2014) “ETEA: A Euclidean Minimum Spanning Tree-Based
Evolutionary Algorithm for Multiobjective
Optimization”, *Evolutionary Computation*, 22(2):189-230.

o
N Zeng, Z
Wang, B Zineddin, Y Li, M Du, L Xiao, X Liu and T
Young (2014) “Image-based Quantitative Analysis of Gold Immunochromatographic
Strip via Cellular Neural Network Approach*”,
IEEE Transactions on Medical Imaging*, 33 (5) : 1129- 1136

o
M Li, S Yang, K Li and X Liu (2014) “Evolutionary
Algorithms with Segment-based Search for Multi-objective Optimization
Problems”, *IEEE Transactions on Cybernetics*, 44(8): 1295-1313.

o
M Li, S Yang and X Liu (2014)
“Diversity Comparison of Pareto Front Approximations in Many-Objective
Optimization”, *IEEE Transactions on Cybernetics*, 44(12):2568-2584.

o
A Tarhini, K Hone and X Liu (2014) “The Effects of Individual
Differences on E-learning Users’ Behaviour in Developing Countries: A
Structural Equation Model”, *Computers in
Human Behavior*, 41: 153-163.

o
J He, X Liu,
G Huang, M Blumenstein, and C Leung (2014) “Current and Future Development of
Big Data in Commonwealth Countries”, *The
Bridge*, 44(4):38-45, US National Academy of Engineering, Winter 2014.

o A Salazar-Gonzalez, D Kaba,
Y Li and X Liu (2014) “Segmentation of Blood Vessels and Optic Disc in Retinal
Images”, *IEEE Journal of Biomedical and
Health Informatics*, 18(6):1874-1886.

o
Y Tian, Z
Qi, X Ju, Y Shi, X Liu (2014), “Nonparallel Support
Vector Machines for Pattern Classification”, *IEEE Transactions on Cybernetics*,
44 (7), 1067-1079.

o
N Zeng, Z
Wang, Y Li, M Du, J Cao and X Liu (2013) “Time Series Modelling of Nano-Gold Immunochromatographic Assay via Expectation Maximization
Algorithm”, *IEEE Transactions on Biomedical Engineering*,
60(12):3418-3424.

o
P Louvieris, N Clewley, and X Liu
(2013), “Effects-Based Feature Identification for Network Intrusion Detection”,
*Neurocomputing**,* 121:265-273.

o
Z Wang, H
Wu, J Liang, J Cao and X Liu (2013), “On modeling and
state estimation for genetic regulatory networks with polytopic
uncertainties”, *IEEE Transactions on NanoBioscience*,
12 (1) : 13- 20

o
R Alhajri, S Counsell and X Liu (2013) “Investigating attributes affecting the performance of WBI users”,
*Computers & Education* 68:
117-128.

o
S Yang, M Li,
X Liu, and J Zheng (2013) “A Grid-Based Evolutionary Algorithm for
Many-Objective Optimization”, *IEEE Transactions on Evolutionary Computation*, 17(5):721-736.

o
Z Wang, J Eatock, S McClean, D Liu, X Liu and T Young (2013), “Modeling Throughput of Emergency Departments via Time
Series: an Expectation Maximization Algorithm”, *ACM Transactions on
Management Information Systems*, 4(4), Art. No. 16, doi:
10.1145/2544105.

o
Y Liu, Z Wang, J Liang and X Liu (2013),
“Synchronization of Coupled Neutral-Type Neural Networks with
Jumping-Mode-Dependent Discrete and Unbounded Distributed Delays”, *IEEE
Transactions on Cybernetics*, 43:102-114.

o J Liang, Z Wang, X Liu and P Louvieris (2012), “Robust synchronization for
two-dimensional discrete-time coupled dynamical networks”, *IEEE Transactions on Neural Networks and Learning Systems*,
23(6):942-953

o
B Shen, Z
Wang and X Liu (2012), “Sampled-Data Synchronization Control of Complex
Dynamical Networks with Stochastic Sampling”, *IEEE Transactions on Automatic Control*, 57(10):2644-2650.

o
J Liang, Z
Wang, B Shen and X Liu, (2012) “Distributed State Estimation in Sensor Networks
with Randomly Occurring Nonlinearities Subject to Time-Delays”, *ACM
Transactions on Sensor Networks*, 9(1), doi:
10.1145/2379799.2379803.

o
N Zeng, Z
Wang, Y Li, M Du, and X Liu (2012), “A
Hybrid EKF and Switching PSO Algorithm for Joint State and Parameter Estimation
of Lateral Flow Immunoassay Models”, *IEEE/ACM
Transactions on Computational Biology and Bioinformatics*, 9(2):321-329

o
C Wei, S
Chen, and X Liu (2012) “Mammogram Retrieval on Similar Mass Lesions”. *Computer Methods and Programs in Biomedicine*,
106:234-248.

o
B Shen, Z
Wang, and X Liu (2011), “Bounded
H-infinity Synchronization and State Estimation for Discrete Time-Varying
Stochastic Complex Networks over a Finite Horizon” *IEEE Transactions on Neural Network* 22(1):145-157.

o
N Zeng, Z Wang, Y Li, M Du, and X Liu (2011), “Inference
of Nonlinear State-Space Models for Sandwich-Type Lateral Flow Immunoassay
Using Extended Kalman Filtering”, *IEEE Transactions on Biomedical Engineering*,
58(7) : 1959- 1966.

o
B Zineddin, Z Wang and X Liu
(2011), “Cellular Neural Networks, Navier-Stokes Equation and Microarray Image
Reconstruction”, *IEEE Transactions on
Image Processing*, 20 (11):3296- 3301.

o
J Liang, Z
Wang, and X Liu
(2011), “Distributed State Estimation for Discrete-Time Sensor Networks with
Randomly Varying Nonlinearities and Missing Measurements”, *IEEE Transactions on Neural Networks* 22(3):486-496.

o
A Ruta, Y Li, and X Liu (2010)
“Real-Time Traffic Sign Recognition from Video by Class-Specific Discriminative
Features”, *Pattern Recognition* 43 (1)
: 416- 430

o
N Clewley, S Chen, and X Liu
(2010), “Cognitive Styles and Search Engine Preferences: Field Dependence/Independence
vs Holism/Serialism”, *Journal of
Documentation* 66 (4) : 585- 603.

o
Z. Wang, Y.
Wang and Y. Liu (2010), “Global synchronization for discrete-time stochastic
complex networks with randomly occurred nonlinearities and mixed time-delays”, *IEEE Transactions on Neural Network*,
21(1):11-25.

o
J Liang, Z Wang, and X Liu (2010) “On Passivity and Passification of Stochastic Fuzzy Systems with Delays: the
Discrete-Time Case”, *IEEE Transactions on
Systems, Man and Cybernetics, Part B *40 (3) : 964- 969

o
A Ruta, Y Li, and X Liu (2010),
“Robust Class Similarity Measure for Traffic Sign Recognition*”, IEEE Transactions on Intelligent
Transportation Systems* 11 (4) : 846- 855

o
Z Wang, Y Liu,
G Wei and X Liu (2010), “A note on control of a class of discrete-time
stochastic systems with distributed delays and nonlinear disturbances”, *Automatica*, 46(3):543-548

o
J Liang, Z
Wang, X Liu (2009) “Global Synchronization in an
Array of Discrete-Time Neural Networks with Nonlinear Coupling and Time-Varying
Delays”, *International Journal of
Neural Systems* 19(1): 57-63.

o
J Liang, Z
Wang and X Liu (2009), "State Estimation for Coupled Uncertain Stochastic
Networks with Missing Measurements and Time-Varying Delays: The Discrete-Time
Case", *IEEE Transactions on Neural Networks*, 20 (5) : 781- 793.

o
Z Wang, X
Liu, Y Liu, J Liang and V Vinciotti (2009) "An
Extended Kalman Filtering Approach to Modelling
Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time
Series", *IEEE/ACM Transactions on Computational Biology and
Bioinformatics*, 6 (3): 410- 419.

o
Y Liu, Z
Wang, J Liang and X Liu (2009) “Stability and synchronization of discrete-time
Markovian jumping neural networks with mixed mode-dependent time-delays”, *IEEE Transactions on Neural Networks*,
20(7):1102-1116.

o
F Yang, Z Wang, G Feng and X Liu
(2009), “Robust Filtering with Randomly Varying Sensor Delay: The
Finite-Horizon Case”, *IEEE** Transactions on Circuits and Systems – Part I*, 56(3):664-672.

o
G Wei, Z Wang, J Lam, K Fraser, G Rao, and X Liu, (2009)
“Robust filtering for stochastic genetic regulatory networks with time-varying
delay”, *Mathematical Biosciences* 220
(2) :73- 80

o
Y Liu, Z
Wang and X Liu (2009) "Asymptotic Stability for Neural Networks with Mixed
Time-Delays: the Discrete-Time Case", *Neural Networks*, 22(1):67-
74.

o
W Sheng, X
Liu and M Fairhurst (2008), "A Niching Memetic
Algorithm for Simultaneous Clustering and Feature Selection", *IEEE
Transactions on Knowledge and Data Engineering*, 20:868-879.

o
Z Wang, J
Lam, G Wei, K Fraser and X Liu (2008), "Filtering for Nonlinear Genetic
Regulatory Networks with Stochastic Disturbances", *IEEE Transactions on
Automatic Control*, 53: 2448-2457.

o
J Liang, Z
Wang, Y Liu and X Liu (2008), "Robust Synchronization of an Array of
Coupled Stochastic Discrete-Time Delayed Neural Networks", *IEEE
Transactions on Neural Networks*, 19:1910-1921.

o
J Liang, Z
Wang, Y Liu and X Liu (2008), “Global Synchronization Control of General
Delayed Discrete-Time Networks with Stochastic Coupling and Disturbances”, *IEEE Transactions on Systems, Man, and
Cybernetics - Part B*, 38:1073-1083.

o
S Chen and X
Liu (2008), "An Integrated Approach for Modeling
Learning Patterns of Students in Web-Based Instruction: A Cognitive Style Perspective",
*ACM Transactions on Computer Human Interaction*, 15(1):1-28.

o
Z Wang, F
Yang, D Ho, S Swift, A Tucker and X Liu (2008),
"Stochastic Dynamic Modelling of Short Gene Expression Data", *IEEE
Transactions on Nanobioscience*, 7:44-55.

o
M Hirsch, S Swift
and X Liu (2007) "Optimal Search Space for Clustering Gene Expression Data
via Consensus", *Journal of Computational Biology*, 14(10):1327-1341.

o
E Panteris, S Swift, A Payne and X Liu (2007), "Mining Pathway
Signatures from Microarray Data and Relevant Biological Knowledge", *Journal
of Biomedical Informatics*, 40(6):698-706.

o
E
Frias-Martinez, S Chen, R Macredie and X Liu (2007),
"The Role of Human Factors in Stereotyping Behavior
and Perception of Digital Library Users: a Robust Clustering Approach", *User
modeling and User-Adapted Interaction*,
17:305-337.

o
Z Wang, F Yang, D Ho, and X Liu (2007) "Robust H-infinity Control
for Networked Systems with Random Packet Losses", *IEEE Transactions on
Systems, Man and Cybernetics - Part B*, 37:916-924.

o
E Frias-Martinez,
S Chen, and X Liu (2007) "Automatic Cognitive Style Identification of
Digital Library Users for Personalization", *Journal of the American
Society for Information Science and Technology*, 58:237-251.

o
Y Liu, Z Wang, A Serrano and X Liu (2007)
“Discrete-time Recurrent Neural Networks with Time-Varying Delays”, *Physics Letters A*, 362:480-488.

o
V Vinciotti, X Liu, R Turk, E de Meijer and P t Hoen (2006) "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.

o
Z Wang, Y
Liu, M Li, and X Liu (2006) "Stability Analysis for Stochastic Cohen-Grossberg Neural Networks with Mixed Time Delays", *IEEE
Transactions on Neural Networks*,
27:814-820.

o
F Yang, Z
Wang, D Ho and X Liu (2006) "Robust H-2
Filtering for A Class of Systems with Stochastic Nonlinearities", *IEEE
Transactions on Circuits and Systems - Part II: Analog and Digital Signal
Processing*, 53:235-239.

o
E
Frias-Martinez, S Chen and X Liu (2006) "Survey of Data Mining Approaches
to User Modeling for Adaptive Hypermedia", *IEEE
Transactions on Systems, Man, and Cybernetics: Part C*, 36:734-749.

o
Z Wang, F
Yang, D Ho and X Liu (2006) "Robust H-infinity
Filtering for Stochastic Time-Delay Systems with Missing Measurements", *IEEE
Transactions on Signal Processing*, 54: 2579-2587.

o
Y Liu, Z
Wang, and X Liu (2006) "Global Exponential Stability of Generalized
Recurrent Neural Networks with Discrete and Distributed Delays", *Neural
Networks*, 19:667-675.

o
Z Wang, Y Liu, L Yu and X Liu
(2006) “Exponential Stability of Delayed Recurrent Neural Networks with
Markovian Jumping Parameters”, *Physics
Letters A*, 356:346-352

o
P O'Neill, K
Fraser, Z Wang, P Kellam, J Kok,
and X Liu (2005) "Pyramidic Clustering of Large
Scale Microarray Images", *The Computer Journal*, 48:466-479.

o
A Tucker, V Vinciotti, X Liu and D Garway-Heath
(2005) "A Spatio-Temporal Bayesian Network
Classifier for Understanding Visual Field Deterioration", *Artificial
Intelligence in Medicine*, 34:163-177.

o
V Vinciotti, R Khanin, D DAlimonte, X Liu, N Cattini, G Bucca, O de Jesus, J Rasaiyaah, C
Smith, P Kellam and E Wit (2005) "An
Experimental Evaluation of Loop versus Reference Design for Two-Channel
Microarrays", *Bioinformatics*, 21:492-501.

o
Z Wang, D Ho and X Liu (2005) "State Estimation for Delayed
Neural Networks", *IEEE Transactions on Neural Networks*, 16:279-284.

o
W Sheng, S
Swift, L Zhang and X Liu (2005) "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.

o
S Swift, A Tucker, V Vinciotti,
N Martin, C Orengo, X Liu and P Kellam
(2004) "Consensus Clustering and Functional Interpretation of Gene
Expression Data", *Genome Biology*, 5:R94.

o
S Chen and X
Liu (2004) "The Contribution of Data Mining to the Field of Information
Science", *Journal of Information Science*, 30:550-558.

o
A Tucker and
X Liu (2004) "A Bayesian Network Approach to Explaining Time Series with
Changing Structure", *Intelligent Data Analysis*, 8:460-480.

o
Z Wang, J
Lam and X Liu (2003) "Nonlinear Filtering for State Delayed Systems with
Markovian Switching", *IEEE Transactions on Signal Processing*,
51:2321-2328.

o
P O'Neill, G
Magoulas and X Liu (2003) "Improved Processing
of Microarray Data Using Image Reconstruction Techniques", *IEEE
Transactions on Nanobioscience*, 2(4):176-183.

o
Z Wang, D Ho and X Liu (2003) "Variance-Constrained Filtering
for Uncertain Stochastic Systems with Missing Measurements", *IEEE
Transactions on Automatic Control*, 48:1254-1258.

o
X Liu, G
Cheng and J Wu (2002) "Analysing Outliers Cautiously", *IEEE
Transactions on Knowledge and Data Engineering*, 14:432-437.

o
Swift and X
Liu (2002) "Predicting Glaucomatous Visual Field Deterioration Through Short
Multivariate Time Series Modelling", *Artificial Intelligence in
Medicine*__, __24:5-24.

o
S Swift, A Tucker, N Martin and X Liu (2001)
“Grouping Multivariate Time Series Variables: Applications to Chemical Process
and Visual Field Data”, *Knowledge-Based
Systems*, 14, 147-154.

o A Tucker, S Swift and X Liu (2001)
"Variable Grouping in Multivariate Time Series via Correlation", *IEEE
Transactions on Systems, Man and Cybernetics - Part B*, 31:235-245.