SELECTED PUBLICATIONS

Books

• Tobin DJ, Hair in Toxicology – an important bio-monitor” [ISBN: 0-85404-587-2], August 2005.

• Bioactive Lipids, Anna Nicolaou & George Kokotos Edts, Oily Press (2004) Bridgewater, England (2004) LINK

Chapters in Books

• Tobin DJ. The biology of hair pigmentation. ‘Hair and Scalp Disease’, Whiting D, Tosti A, Trüeb R, Blume-Peytavi U Eds. (Springer Verlag), 2007

• Tobin DJ. Biotechnology of Hair Care: Hair Coloring and Gray Hair, In: Biotechnology of Personal Care. Lad R ed. Taylor & Francis, pp297-322

• Gilbert MTP, Tobin DJ, Wilson AS. Hair as a source of ancient DNA. In “Molecular markers, PCR, Bioinformatics & Ancient DNA - Technology, Troubleshooting & Applications”. Ed. Dorado G. Science Publishers, New York. 2005

• Tobin DJ. The Biogenesis and Growth of Human Hair. In “Hair in Toxicology – an important biomonitor. Ed. Tobin DJ. The Royal Society of Chemistry (Springer-Verlag) Summer 2005. 

• Tobin DJ. Pigmentation of Human Hair. In “Hair in Toxicology – an important biomonitor. Ed. Tobin DJ. The Royal Society of Chemistry (Springer-Verlag) Summer 2005

• Tobin DJ. The Human Hair Fiber. In “Hair in Toxicology – an important biomonitor. Ed. Tobin DJ. The Royal Society of Chemistry (Springer-Verlag) Summer 2005

• Tobin DJ. Hair in Toxicology – an important biomonitor: A Perspective on Future Directions Ed. Tobin DJ. The Royal Society of Chemistry (Springer-Verlag) Summer 2005

• Jiang P., Peng Y.H., Mair Q. and Yuan M. (2005): "A Variabl Resolution Virtual Sensor in Social Behaviour Networks", Self-Organization and Automatic Informatics (I), H. Czap, R. Unland, C. Branki, and H. Tianfield (eds.), ISO Press, ISBN: 1-58603-577-0, pp. 86-94.

Journal Publications (since 2002)

• Peng Y.H. (2006): "A Novel Ensemble Machine Learning for Robust Microarray Data Classification" International Journal of Computers in Biology and Medicine (PMID: 15978569), Elsevier, 36 (6): 553-573. For more information see: http://dx.doi.org/10.1016/j.compbiomed.2005.04.001

• Peng Y.H., Yao B. and Jiang J (2006): "Knowledge-Discovery Incorporated Evolutionary Search for Microcalcification Detection in Breast Cancer Diagnosis" Artificial Intelligence in Medicine (PMID: 16343872), Elsevier, 37 (1): 43-53. For more information see: http://dx.doi.org/10.1016/j.artmed.2005.09.001

• Nicolaou A. and Peng Y.H. (2006): "Lipidomics: Current Developments, Challenges and Opportunities." Lipid Technology Journal, PJ Barnes & Associates, 18 (3): 53-57. For more information see: http://www.pjbarnes.co.uk/lt/lipidtechnology.htm

• Peng Y.H. (2006): "Empirical Model Decomposition based Time-Frequency Analysis for Tool Breakage Detection" Journal of Manufacturing Science and Engineering - Trans of The ASME, American Society of Mechanical Engineers (ASME), 128 (1): 154-166.
  For more information see: http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JMSEFK000128000001000154000001&

• Thabtah F., Cowling P.I. and Peng Y.H. (2006): "Multiple Labels Associative Classification" Knowledge and Information Systems , Springer-Verlag London Ltd , 9 (1): 109-129.
  For more information see: http://www.springerlink.com/app/home/contribution.asp?wasp=a9ada7d670e84cca94089f19d753b382&referrer

• Jiang P, Chen H and Bamforth L (2006): "A universal iterative learning stabilizer for a class of MIMO systems" Automatica, 42 (6): 973-981.
  For more information see: http://www.inf.brad.ac.uk/~pjiang/Papers/automaticaPJ.pdf
  　
• Jiang P, Mair Q and Newman J (2006): "The application of UML to the design of processes supporting product configuration management" International Journal of Computer Integrated Manufacturing, 19 (4): 393-407. For more information see: http://www.inf.brad.ac.uk/~pjiang/Papers/LR_393-408.pdf
  　
• Wang G. and Jiang P. (2006): "Extraction of robot primitive control rules from natural language instructions" International Journal of Automation and Computing, 3 (2): 282-290. For more information see: http://www.inf.brad.ac.uk/~pjiang/Papers/IJAC09-308.pdf
  　
• Zhan Y., Halliday D., Jiang P., Liu X. and Feng J. (2006): "Detecting time-dependent coherence between non-stationary electrophysiological signals—A combined statistical and time–frequency approach " Journal of Neuroscience Methods , Elsevier, 156 (1-2): 322-332.
• Jiang P. and Chen Y.Q. (2005): "A Repetitive Segmented Training Neural Network Controller with Applications to Robot Visual Servoing" Control and Intelligent Systems, 33 (3): 210-221.For more information see: http://www.inf.brad.ac.uk/~pjiang/Papers/nnra%20v2a.pdf

• Peng Y.H. (2004): "On the Performance Enhancement of Self-Tuning Adaptive Control for Time-Varying Machining Processes" International Journal of Advanced Manufacturing Technology, Springer-Verlag London, 24 (5-6): 395-403. For more information see: http://www.springerlink.com/index/10.1007/s00170-003-1678-y

• Peng Y.H. (2004): "Intelligent Condition Monitoring using Fuzzy Inductive Learning" Journal of Intelligent Manufacturing, Kluwer Academic, 15 (3): 373-380.For more information see: http://dx.doi.org/10.1023/B:JIMS.0000026574.95637.36

• Chen H.D. and Jiang P. (2004): "Adaptive Iterative Learning Control for Nonlinear Systems with Unknown Control Gain" ASME Journal of Dynamic Systems, Measurement and Control, 126 (4).
  For more information see: http://www.inf.brad.ac.uk/~pjiang/Papers/ASME.pdf
• Jiang P, Li Z.Y. and Chen Y.Q. (2004): "Iterative Learning Neural Network Control for Robot Learning from Demonstration" Control Theory and Applications, 21 (3): 447-452.
• Wang W.P., Peng Y.H. and Li X.Y. (2002): "Fuzzy-grey Prediction of Cutting Force Uncertainty in Turning" Journal of Materials Processing Technology, Elsevier, 129 (1-3): 663-666.
  For more information see: http://www.sciencedirect.com/science/journal/09240136

• Chen H.D. and Jiang P. (2003): "Adaptive Iterative Feedback Control for Nonlinear Systems with Unknown Control Gain" Control Theory and Applications, 20 (5): 691-684.

• Wang G and Jiang P (2003): "A support-vector rule based method for the construction of motion controllers via natural language training" WSEAS TRANSACTIONS on CIRCUITS, 2 (1): 246-251.

• Jiang P and Unbehauen R (2002): "Iterative learning neural network control for nonlinear system trajectory tracking" Neurocomputing, 48 141–153.
  For more information see: http://www.inf.brad.ac.uk/~pjiang/Papers/Neurocomputing.pdf

• Jiang P, Woo P. and Unbehauen R (2002): "Iterative learning control for manipulator trajectory tracking without any control singularity" Robotica, 20 149–158. For more information see: http://www.inf.brad.ac.uk/~pjiang/Papers/pjiang_robotica.pdf

• Jiang P and Unbehauen R (2002): "Robot Visual Servoing With Iterative Learning Control" IEEE Trans. on System, Man, and Cybernetics—Part A: System and Humans, 32 (2): 281-287. For more information see: http://www.inf.brad.ac.uk/%7Epjiang/Papers/visualservoingPJ.pdf

• Jiang P. and Unbehauen R (2002): "Nonsingular indirect iterative learning control and its application to robot movement imitation" ACTA Automatica Sinica, 28 (6): 888-896.

Conference Contributions

• Ma Y.T. and Peng Y.H. (2006): "Co-expression Gene Discovery from Microarray for Integrative Systems Biology", International Conference on Advanced Data Mining and Applications (ADMA'06) , Xi'An, China.
  For more information see: http://dx.doi.org/10.1007/11811305_88

• Wu Y., Huang Q., Peng Y.H. and Situ W. (2006): "Detection of Microcalcifications in Digital Mammograms Based on Dual-Threshold", International Workshop on Digital Mammography 2006.

• Wu Z., Jiang J., Peng Y.H. and Gulsrud T.O. (2006): "A Filter-Based Approach towards Automatic Detection of Microcalcification", International Workshop on Digital Mammography 2006.

• Wang G. and Jiang P. (2006): "Tristability in model neurons", International Joint Conference on Neural Networks, pp. 3999-4004.
  For more information see: http://www.inf.brad.ac.uk/~pjiang/Papers/tristability.pdf

• Wang G.H. and Jiang P. (2006): "Autapse Modulated Bursting", Advances in Neural Networks- ISNN 2006, Lecture Notes in Computer Science, Vol. 3971 , Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, (ed.), Springer, pp. 334 - 343. For more information see: http://www.inf.brad.ac.uk/~pjiang/Papers/ISSN2006Autapse.pdf
• Peng Y.H., Huang Q., Jiang P. and Jiang J. (2005): "Cost-Sensitive Ensemble of Support Vector Machines for Effective Detection of Microcalcification in Breast Cancer Diagnosis", International Conference on Fuzzy Systems and Knowledge Discovery (FSKD-05), Changsha, China.
  For more information see: http://dx.doi.org/10.1007/11540007_59

• Peng Y.H. (2005): "Robust Ensemble Learning for Cancer Diagnosis based on Microarray Data Classification", International Conference on Advanced Data Mining and Applications (ADMA05) , Wuhan, China.
  For more information see: http://dx.doi.org/10.1007/11527503_67

• Yuan M., Jiang P. and Newman J. (2005): "An energy-driven Social Behaviour Network Architecture", Self-Organization and Automatic Informatics(I), H. Czap, R. Unland, C. Branki, H. Tianfield (eds.), ISO Press, pp. 77-85. For more information see: http://www.inf.brad.ac.uk/~pjiang/Papers/SoasEnergyv3-2.pdf
• Jiang P. and Chen H. (2005): "Nussbaum Gain Based Iterative Learning Control for a Class of Multi-input Multi-output Nonlinear Systems", 44th IEEE Conference on Decision and Control and European Control Conference, Seville, Spain. For more information see: http://www.inf.brad.ac.uk/~pjiang/Papers/2626.pdf

• Thabtah F, Cowling P.I. and Peng Y.H. (2004): "MMAC: A New Multi-class, Multi-label Associative Classification Approach", Fourth IEEE International Conference on Data Mining (ICDM'04), Brighton, UK.
  For more information see: http://icdm04.cs.uni-dortmund.de/

• Yao B, Jiang J and Peng Y.H. (2004): "A CBR Driven Genetic Algorithm for Microcalcification Cluster Detection", 14th International EKAW Conference (Lecture Notes in Computer Science), UK.
  For more information see: http://www.springerlink.com/index/5PR2Y8MHLT9QWR4L

• Thabtah F., Cowling P.I. and Peng Y.H. (2004): "MCAR: Multi-class Classification based on Association Rule", The 3rd ACS and IEEE International Conference on Computer Systems and Applications., Cairo, Egypt.

• Jiang P and Peng Y.H. (2004): "Concept Mining for Distributed Alliance in Multi-agent Based Virtual Enterprises", 2004 IEEE Conference on Cybernetics and Intelligent Systems (CIS), , Singapore..
  For more information see: http://cis-ram.nus.edu.sg/

• Peng Y.H. (2003): "Time Series Data Mining at Multi-level: A Case Study on Internet Traffic Characterization", UKCI-2003, ISBN: 0862925371, Bristol, England.
  For more information see: http://www.enm.bris.ac.uk/ai/ukci2003/abstracts/53.html

• Peng Y.H., Falch P.A., Soares C. and Brazdil P. (2002): "Improved Dataset Characterisation for Meta-Learning", The 5th International Conference on Discovery Science, pages 141-152. Springer-Verlag, January 2002., Luebeck, Germany. For more information see: http://www.cs.bris.ac.uk/Publications/Papers/1000692.pdf

• Peng Y.H., Flach P.A., Brazdil P. and Soares C. (2002): "Decision Tree-Based Data Characterization for Meta-Learning", ECML/PKDD-2002 Workshop IDDM-2002, Helsinki, Finland.

• Tse P.W. and Peng Y.H. (2002): "Class Discrimination Measure and Feature Selection for Machine Fault Diagnosis", The Ninth International Congress on Sound and Vibration, 8 Jul 2002, Orlando, USA.

• Peng Y.H. and Flach P.A. (2001): "Soft Discretization to Enhance the Continuous Decision Tree Induction ", Proceedings of ECML/PKDD-2001 Workshop IDDM-2001, Freiburg, Germany.

• Peng Y.H. and Chen T.J. (2000): "Fuzzy Inductive learning in Data Mining and its Application to Machine Fault Diagnosis", Proceedings of 2000'AMSMA International Conference, 158-163 , Guangzhou, China.

• Tse P.W. and Peng Y.H. (2000): "Wavelet Analysis Provides a More Efficient Bearing Fault Diagnostic Method", Proceedings of the 7th International Congress on Sound and Vibration, 507-514, Garmish-Partenkirchen, Germany.