Researcher Portfolio

Li Xiang (Dr)
Senior Scientist II
6510 1613
Manufacturing Execution and Control
Introduction:

Dr. Li Xiang is currently a Senior Scientist and Team Lead at Singapore Institute of Manufacturing Technology. Dr Li has more than 20 years of experience in research on machine learning, data mining and artificial intelligence, such as neural networks, fuzzy logic systems, expert systems and multiple regression models. She has led many research projects as PI with local and overseas universities such as NTU, NUS, Carnegie Mellon University, etc and supervised many PhD and Master Students. She has also led many industrial projects such as density-grid hybrid clustering method for multivariate anomaly detection to achieve zero defective product with minimum  false reject rate in Semiconductor test process, data stream clustering for online fault detection on work piece in milling machining process, smart recipe tuning for quality control in coating process, fuzzy regression modelling for tool degradation detection in milling machining process, advanced techniques for handling imbalanced and unlabeled data for classification for Aerospace MRO, pogo pin anomaly detection in Semiconductor test process, Semiconductor production data warehousing. She is an IEEE member.

Research Interest:Her research interests include big data analytics, machine learning, data mining, data warehousing, decision support systems, knowledge-based systems and energy efficiency analytics.
BioNotes:Ph.D (2000, Nanyang Technological University, Singapore).

MEng(1987, Northeastern University, China).

BEng (1982, Northeastern University, China).
Publications:

Journal Papers

1.    J. W. Hu, M. Zhou, X. Li and Z. Xu, "Online model regression for nonlinear time-varying manufacturing systems", Automatica, pp. ,  vol. , Apr. 2017

2.    Amin. J. Torabi,M. J. Er, X. Li, B. S. Lim, "Sequential Fuzzy Clustering Based Dynamic Fuzzy Neural Network for Fault Diagnosis and Prognosis", Journal of Neurocomputing, pp. 31-41, vol. 196, Jul 2016

3.    K.Javed, R.Gouriveau, X.Li, N.Zerhouni, “Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model”, Journal of Intelligent Manufacturing, pp. 1-18, Apr. 2016.

4.    A.J.Torabi,  M.J. Er, X.Li,  B.S. Lim,  L. Zhai,  R.J. Oentaryo,  G.O. Peen,  J.M. Zurada,  “A Survey on Artificial Intelligence Based Modeling Techniques for High Speed Milling Processes”, IEEE Systems Journal, Vol. 9 (3), page(s) 1069-1080, 2015.

5.    Y.P. Pan, M.J.Er, X. Li, H.Y.Yu, R. Gouriveau, “Machine Health Condition Prediction via Online Dynamic Fuzzy Neural Networks” Engineering Applications of Artificial Intelligence” Vol. 35, pp.105–113, 2014.

6.    Y. J. Ou, J. Hu, X. Li and S. Haridy, “An Incipient On-line Anomaly Detection Approach for the Dynamic Rolling Process”, International Journal of Precision Engineering and Manufacturing, Vol. 15(9), pp. 1-10, 2014

7.    J. Oentaryo, M. J. Er, S. Linn, and X. Li, "Online probabilistic learning for fuzzy inference systems," Expert Systems with Applications, vol. 41, no. 11, pp. 5082-5096, September 2014.

8.    M. Pratama, M. J. Er, X. Li, R. J. Oentaryo, E. Lughofer and I. Arifin, "Data Driven Modeling Based on Dynamic Parsimonious Fuzzy Neural Network", Neurocomputing, Vol. 110, Page 18-28, 13 June 2013.

9.    G. Omid, J. X. Xu, J. H. Zhou and X. Li, "A Physically Segmented Hidden Markov Model Approach for Continuous Tool Condition Monitoring: Diagnostics and Prognostics", IEEE Transactions on Industrial Informatics, vol. 8(4), pp. 964-973, November 2012

10.  L. Y. Zhai, M. J. Er, X. Li, O. P. Gan and S. Linn, "Wavelet-based Analysis of Force Signals for Monitoring and Prediction of Cutting Performance in High-speed Milling Processes", Engineering Letters, vol. 19(3), pp. 155-158  24th August 2011

11.  X. Li, M.J. Er, B.S. Lim, J.H. Zhou. O.P. Gan and L. Rutkowski, “Fuzzy Regression Modelling for Tool Performance Prediction and Degradation Detection”, the Special Issue of International Journal of Neural Systems, Vol. 20, No. 5, pg. 405-419, October 2010.

12. N. Wang, M.J. Er, X. Meng and X. Li, “An Online Self-organizing Scheme for Parsimonious and Accurate Fuzzy Neural Networks”, the Special Issue of International Journal of Neural Systems, Vol. 20, No. 5, pg 389 – 403, October 2010 

13. X. Li, D. M. Shi, V. Charastrakul and J. H. Zhou, "Advanced P-Tree Based K-Nearest Neighbors for Customer Preference Reasoning Analysis", Journal of Intelligent Manufacturing, vol. Number 5(October), pp. 569-579, 2009

14. Y. L. Huang, H.F. Liu, W. K. Ng, W.F. Lu, B. Song, X. Li., "Automating Knowledge Acquisition for Constraint-based Product Configuration", Journal of Manufacturing Technology Management, Vol. 19, No. 6, 2008, pp. 744-754.

15. H. F. Liu, V. Gopalkrishnan, W. K. Ng, B. Song and X. Li, "An Intelligent System for Estimating Full Product Life Cycle Cost at the Early Design Stage", International Journal of Product Lifecycle Management, vol. 3(2/3), 2008, pp. 96-113.

16. X. Li, C.L. Ang, R. Gay, “An Intelligent Business Forecaster for Strategic Business Planning”, Journal of Forecasting, Vol. 18, 1999, pp. 181-204.

17. X. Li, C.L. Ang, R. Gay, “An Intelligent Scenario Generator for Strategic Business Planning”, Computers in Industry, 34/3, December 1997, pp. 261-269.

18. X. Li , “Econometric Modelling of Anshan Iron and Steel Company”, The Keizai Gaku, Annual Report of the Economic Society, Tohoku University, Japan, Vol. 51 No. 2, 1989, pp. 67-85.

Conference Papers

1.      C. Nguyen, Xin Li, R.D. Blanton, Xiang Li, “Partial Co-Training for Quality Control in Manufacturing”, IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 12-Sep-2017 to 15-Sep-2017, Limassol, Cyprus.

2.      Z. Min, Z. Q. Guo and X. Li, "Design of Model Predictive Control for Time-Varying Nonlinear System Based on Gaussian Process Regression Modeling ", IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 06-Sep-2016 to 09-Sep-2016, Berlin, Germany, Paper #77.

3.      S. Xu,X. Li,W. F. Lu, "Randomized K-d Tree ReliefF Algorithm for Feature Selection in Handling High Dimensional Process Parameter Data", IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 06-Sep-2016 to 09-Sep-2016, Berlin, Germany, Paper #131

4.      O. Geramifard, Y.Z. Zhao, X.Li,  "Power-Signature-Based Bayesian Multi-Classifier for Operation Mode Identification", IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 06-Sep-2016 to 09-Sep-2016, Berlin, pp. 01-06, vol. N.A.

5.      J. Wu, X. Li, S. Xu, M.J.Er, L. Wei, W.F.Lu, “Machine Learning Approach for Shaft Crack Detection through Acoustical Emission Signals”, The 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2015), 8-Sep  to 11-Sep-2015, paper # 121, Luxembourg.

6.      X.F. Qian, X. Li, S.Xu, W.F.Lu, “Critical Component Life Prediction and Cost Estimation for Decision Support In Remanufacturing”, The 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2015), 8-11 Sep 2015, paper # 141, Luxembourg.

7.      H. C. Yang, J. H. Zhou and C. K. Pang, Li Xiang, “Parameter Update and PDF Prediction of Unobservable Degradation Using Stage-Based Gamma Process”, paper #316, 20th International Conference on ETFA, 8-11 Sep 2015, Luxemburg.

8.      T.T. Aye, F. Yang, L, Wang, K. K. Lee, X. Li, J.W.Hu, M. C. Nguyen, “Data Driven Framework for Degraded Pogo Pin Detection in Semiconductor Manufacturing”, 15 – 17 June 2015, Auckland, New Zealand,

9.      J. Hu, X. Li and Y. J. Ou, "Online Gaussian Process Regression for Time-Varying Manufacturing Systems", The 13th International Conference on Control, Automation, Robotics and Vision, 10-Dec-2014 to 12-Dec-2014, Singapore, vol. 1, pp. 1118-1123

10.   Y. J. Ou, J. Hu and X. Li, "MIMO Time-Weighted Condition-based Multivariate Statistical Process Control at the Incipient Stage", IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 16-Sep-2014 to 19-Sep-2014, Spain, vol. 914, pp. 1-8

11.   A. Naganathan, H.Li, J. Li, M.J. Er, X. Li, H.L. Chan, G. Vachtsevanos, “Complete Parametric Estimation of the Weibull Model with an Optimized Inspection Interval”, S3.08 Systems Engineering Part 1, 2013 IEEE International Conference on Prognostics and Health Management, June 24-27, 2013, Maryland, USA, 2013.

12.   Y. P. Pan, X. Y. Hu, M. J. Er, X. Li and R. Gouriveau, "Bearing Condition Prediction Using Enhanced Online Learning Fuzzy Neural Networks ", 20th CIRP International Conference on Life Cycle Engineering, Singapore, 2013, 17-Apr-2013 to 19-Apr-2013, Singapore, vol. 1, pp. 175-182, 2013

13.   L. Y. Zhai, W. F. Lu, Y. Liu, X. Li and G. Vachtsevanos, "Analysis of Time-to-Failure Data with Weibull Model in Product Life Cycle Management", 20th CIRP International Conference on Life Cycle Engineering, Singapore, 2013, 17-Apr-2013 to 19-Apr-2013, Singapore, vol. 1, pp. 699-703, 2013

14.   X. Li, M. J. Er, H. L. Ge, S. Huang, L. Y. Zhai, S. Linn and A. J. Torabi, "Adaptive Network Fuzzy Inference System and Support Vector Machine Learning for Tool Wear Estimation in High Speed Milling Processes", IEEE Industrial Electronics Society (IECON), 25-Oct-2012 to 28-Oct-2012, ÉTS Montréal, Québec, Canada, vol. 1, pp. 2809-2814, 2012

15.   B. Hu, M. Luo, C. K. Pang, X. Li and H. L. Chan, "A Two-Stage Equipment Predicitive Maintenance Framwork for High-Performance Manufacturing System", IEEE Conference on Industrial Electronics and Applications (ICIEA), 18-Jul-2012 to 20-Jul-2012, Singapore, 2012

16.   C. C. T. Ching, J. H. Zhou, X. Li, X. L. Li, H. Cao and D. Woon, "Hybrid Rebalancing Approach to Handle Imbalanced Dataset for Fault Diagnosis in Manufacturing Systems", IEEE Conference on Industrial Electronics and Applications (ICIEA), 18-Jul-2012 to 20-Jul-2012, Singapore, vol. 1, pp. 1211-1216, 2012

17.   O. Geramifard, J. X. Xu, J. H. Zhou, X. Li and O. P. Gan, "Feature Selection For Tool Wear Monitoring: A Comparative Study", IEEE Conference on Industrial Electronics and Applications (ICIEA), 18-Jul-2012 to 20-Jul-2012, Singapore, vol. 1, pp. 1217-1222, 2012

18.   A. T. Jahromi, M. J. Er, X. Li, B. S. Lim, L. Zhai, S. Linn, O. P. Gan and C. T. Ching, "Application of Classical Clustering Methods for Tool Condition Monitoring in High Speed Milling Processes", IEEE Conference on Industrial Electronics and Applications (ICIEA), 18-Jun-2012 to 20-Jun-2012, Singapore, vol. 1, pp. 1236-1241, 2012

19.   K. Javed, R. gouriveau, N. Zerhouni, R. Zemouri and X. Li, "Robust, Reliable and Applicable Tool Wear Monitoring and Prognostic: Approach Based On An Improved-Extreme Learning Machine", IEEE International Conference of the Prognostics and Health Management Society (PHM), 18-Jun-2012 to 21-Jun-2012

20.   M. Pratama, M. J. Er, X. Li, O. P. Gan, R. J. Oentaryo, S. Linn, L. Y. Zhai and I. Arifin, "Tool Wear Prediction Using Evolutionary Dynamic Fuzzy Neural (EDFNN) Network", Annual Conference of the IEEE Industrial Electronics Society (IECON), 07-Nov-2011 to 10-Nov-2011, Melbourne Australia, 2011

21.   G. Omid, J. X. Xu, J. H. Zhou and X. Li, "A Multi-Modal Hidden Markov Model Based Approach for Continuous Health Assessment in Machinery Systems", IEEE Industrial Electronics Society  (IECON), 11-Jul-2011 to 11-Oct-2011, Melbourne, Australia, vol. 0, pp. 2219-2224, 2011

22.   O. geramifard, J. X. Xu, J. H. Zhou and X. Li, "Continuous Health Condition Monitoring: A Single Hidden Semi-Markov Model Approach ", IEEE International Conference of the Prognostics and Health Management Society (PHM), 19-Jun-2011 to 23-Jun-2011, Denvor, USA, 2011

23.   R. J. Oentaryo, M. J. Er, S. Linn, Y. Zhai and X. Li, "Bayesian ART-Based Fuzzy Inference System: A New Approach to Prognosis of Machining Processes ", IEEE International Conference of the Prognostics and Health Management Society (PHM), 20-Jan-2011 to 23-Jan-2011, Denver, Colorado, USA, 2011

24.   H. Sheng, X. Li, O.P. Gan, “Tool Wear Estimation using Support Vector Machines in Ball-nose End Milling”. the Annual Conference of the Prognostics and Health Management Society 2010 (PHM2010), October 10-16, 2010, Portland, Oregon, USA, 2010.

25.   A.J. Torabi, M.J. Er, X. Li, B.S. Lim, L.Y. Zhai, S.Huang, S.Linn and O.P.Gan, “Fuzzy Clustering of Wavelet Features for Tool Condition Monitoring in High Speed Milling Process”, the Annual Conference of the Prognostics and Health Management Society 2010 (PHM2010), October 10-16, 2010, Portland, Oregon, USA, 2010.

26.   L.Y. Zhai, M.J. Er, X. Li, O.P. Gan, S.J. Phua, S. Huang, J.H. Zhou, S.Linn and A.J. Torabi, “Intelligent Monitoring of Surface Integrity and Cutter Degradation in High-speed Milling Processes”, the Annual Conference of the Prognostics and Health Management Society 2010 (PHM2010), October 10-16, 2010, Portland, Oregon, USA, 2010.

27.   L. San, M. J. Er,X. Li, L. Y. Zhai, A. J. Torabi, O.P.Gan, “An Enhanced Online Self-organizing Fuzzy Neural Network”, the 11th International Conference on Control, Automation, Robotics and Vision (ICARCV2010), 7-10 Dec. 2010, Singapore, pg 2214-2220, 2010.

28.   A.J.Torabi, O.Massol, M.J.Er, X.Li, B.S. Lim, S.Huang, S.R. Gopikrishnan, L.Y.Zhai, S.Linn, “Flute based Analysis of Ball-Nose Milling Signals Using Continuous Wavelet Analysis Features” the 11th International Conference on Control, Automation, Robotics and Vision (ICARCV2010), 7-10 Dec. 2010, Singapore, pg 1359-1364, 2010.

29.      M. Olivier,  X. Li, R. Gouriveau, J. H. Zhou, O.P.Gan, “An exTS based Neuro-Fuzzy Algorithm for Prognostics and Tool Condition Monitoring”, the 11th International Conference on Control, Automation, Robotics and Vision (ICARCV2010), 7-10 Dec. 2010, Singapore, pg 1329-1334, 2010.

30.   O,Geramifard,J.X. Xu, J.H. Zhou , X. Li, “Continuous Health Assessment Using a Single Hidden Markov Model” , the 11th International Conference on Control, Automation, Robotics and Vision (ICARCV2010), 7-10 Dec. 2010, Singapore, pg 1347-1352, 2010

31.   O. Geramifard, J. X. Xu, J. H. Zhou and X. Li, "Data-Driven Approaches in Health Condition Monitoring – A Comparative Study", 8th IEEE International Conference on Control & Automation, 09-Jun-2010 to 11-Jun-2010, Xia Men, China, vol. FrA7.3, pp. 1618-1622. 2010

32.   Z. W. Zhong, X. Li, K. W. Thong and J. H. Zhou, "Fault Characterization of Partial Discharge", 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 15-Jul-2010 to 17-Jul-2010, Qingdao, China, vol. 1, pp. 392-397, 2010

33.   X. Li, B. S. Lim, J. H. Zhou, S. Huang, S. J. Phua, K. C. Shaw and M. J. Er, " Fuzzy Neural Network Modeling for Tool Wear Estimation in Dry Milling Operation", The online proceeding of 2009 Annual Conference of Prognostics and Health Management (PHM 2009), 27-Sep-2009 to 01-Oct-2009, San Diego, USA, Online Conference Proceeding, phmc0968, 2009

34.   Si Jie Phua, Xiang Li, Wee Keong Ng, Beng Siong Lim, Wei Xiang Zhong, and Junhong Zhou, “Signal Stream Clustering for Tool-Revolution-Level Tool Condition Monitoring in Milling Process”, Online proceeding of 2009 Annual Conference of Prognostics and Health Management (PHM 2009), 27-Sep-2009 to 01-Oct-2009, San Diego, USA, Online Conference Proceeding, phmc0947, 2009.

35.   X. Li, K. Choo and D. M. Shi, J. H. Zhou, S. J. Phua, B. S. Lim, , "Fuzzy Self-Organizing Maps for Detection of Partial Discharge Signals", CD proceeding of 2009 IEEE International Conference on Advanced Intelligent Mechatronics, 14-Jul-2009 to 17-Jul-2009, Singapore, pp. 1683-1688, 2009

36.   Y. Z. Zhao and X. Li, "A Dual-Momentum Hybrid Wavelet Neural Net (DM-HWNN): Its Performance Evaluation and Application", IEEE International Conference on Industrial Informatics (INDIN), 24-Jun-2009 to 26-Jun-2009, Cardiff, UK, vol. 1, pp. 325-330, 2009

37.   A. J. Torabi, M. J. Er, X. Li, B. S. Lim, L. Y. Zhai, S. J. Phua, S. Linn, S. Huang and J. T. T. Tijo, "A Survey on Artificial Intelligence Technologies in Modeling of High Speed End-Milling Processes ", The 2009 IEEE International Conference on Advanced Intelligent Mechatronics, 14-Jul-2009 to 17-Jul-2009, Singapore, vol. WB3.1, pp. 320-325, 2009

38.   Y. Z. Zhao and X. Li, "A Dual-Momentum Hybrid Wavelet Neural Net (DM-HWNN): Its Performance Evaluation and Application", IEEE International Conference on Industrial Informatics (INDIN), 24-Jun-2009 to 26-Jun-2009, Cardiff, UK, vol. 1, pp. 325-330, 2009

39.   M. Luo, X. Li, D. H. Zhang, Y. Z. Zhao and P. C. Lim, "Categorical Data Analysis for Equipment Failure Analysis", to appear in the 34th Annual Conference of the IEEE Industrial Electronics Society (IECON 2008), 10–13 Nov, Orlando, Florida, USA, 2008

40.   Y. Z. Zhao, N. K. Vuong and X. Li, "A Novel Hybrid Wavelet Neural Networks and Its Performance Evaluation", IEEE International Conference on Industrial Informatics (INDIN), 13-16 Jul, Daejeon, Korea, Vol.CDR, pp.1097-1102, 2008

41.   J. H. Zhou, R. S. Ng and X. Li, "Ant Colony Optimization and Mutual Information Hybrid Algorithms for Feature Subset Selection in Equipment Fault Diagnosis", International Conference on Control, Automation, Robotics and Vision (ICARCV), 17-20 Dec, hanoi, Vietnam, 2008

42.   N. K. Vuong, Y. Z. Zhao and X. Li, "Classification Using Improved Hybrid Wavelet Neural Networks", 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI’08), 15-Dec-2008 to 18-Dec-2008, Vietnam, vol. LNAI 5351, pp. 1092-1097, 2008

43.   X. Li, D. Shi, B. Song, W.K. Ng, “Customer Preference Reasoning Analysis through Text Categorization”, International Conference on Engineering Design,(ICED2007) , 28-31 Aug, CITE DES SCIENCES ET DE L INDUSTRIE, PARIS, FRANCE, 2007.

44.   X. Li, M. Luo, X. W. Yang and Z. W. Zhong, "Application of Neural Network for Prediction of Slip Free Temperature Offsets in Semiconductor Epitaxial Process ", Proceeding of the Second World Congress on Engineering Asset Management and the Fourth International Conference on Condition Monitoring, 11-14 Jun, Harrogate, UK, pg. 1250-1258, 2007

45.   P.C. Lim, X. Li, J.B. Zhang and D. Shi, "Feature Discretization by Support Vector Clustering", JOINT CONFERENCE ON INFORMATION SCIENCES 2007 (JCIS07), 18-24 Jul, Salt Lake Marriott City Center, 2007.

46.   L. Wang, B. Song, X. Li and W. K. Ng, "A Product Family Based Life Cycle Cost Model for Part Variety and Change Analysis", Proceedings of the 16th International Conference on Engineering Design, 28-Aug-2007 to 31-Aug-2007, Paris, France, 2007.

47.   S. J. Phua, W. K. Ng, H. Liu, B. Song and X. Li, "A Rule Mining Approach to Emotional Design in Mass Customization", 16th International Conference on Engineering Design (ICED'07), 28-Aug-2007 to 31-Aug-2007, Paris, France, 2007.

48.   S.J. Phua, W. K. Ng, H. Liu, B. Song, X. Li, "Customer Information System for Product and Service Management: Towards Knowledge Extraction from Textual and Mixed-Format Data", 4th IEEE International Conference on Service Systems and Service Management (ICSSSM2007), Chengdu, China, Jun 9-11, 2007.

49.   Y. L. Huang, W. K. Ng, H. Liu, W. F. Lu, B. Song and X. Li, "Semantic Modeling and Extraction for Cross-family Product Configuration", 4th International Conference on Service Systems and Service Management (ICSSSM2007), 09-Jun-2007 to 11-Jun-2007, Chengdu, China, 2007.

50.   Y. Huang, H. Liu, W. K. Ng, B. Song, X. Li, "Towards automatically generating constraint-based configuration knowledge", International Conference on Manufacturing Automation, Singapore, May 2007, Highly Recommended Papers Award. 2007

51.   H. Liu, Y. L. Huang, W. K. Ng, B. Song, X. Li, W. F. Lu, “Deriving Configuration Knowledge and Evaluating Product Variants through Intelligent Techniques”, the sixth International Conference on Information, Communications and Signal Processing (ICICS 2007), Singapore, December 2007

52.   H. Liu, V. Gopalkrishnan, W. K. Ng, B. Song, X. Li. “Estimating Product Lifecycle Cost Using a Hybrid Approach”, The Second International Conference on Digital Information Management (ICDIM 2007), Lyon, France, October 2007

53.   H. Liu, W. K. Ng, B. Song, X. Li, W. F. Lu, "Enabling Mass Customization Through Semantic Web Services", IEEE Asia-Pacific Services Computing Conference (APSCC 2007), Tsukuba, Japan, 11-14 Dec 2007.

54.   X. Li, J.H. Zhou, H. Zeng, Y.S. Wong and G. S. Hong, “An Intelligent Predictive Engine for Milling Machine Prognostic Monitoring”, CD Proceeding of the 4th IEEE International Conference on Industrial Informatics, 16-18 Aug., Singapore, pp 1075-1080, 2006.

55.   J.H.Zhou, X. Li, O. P. Gan, S. Han, W. K. Ng, “Genetic Algorithms for Feature Subset Selection in Equipment Fault Diagnosis”, CD proceeding of the World Congress on Engineering Asset Management (WCEAM), 11-14, July, 2006, Gold Coast, Australia, pp 1114-1123, 2006

56.   H. Zeng, T.B. Thoe, X. Li, J. Zhou, “Multi-modal Sensing for Machine Health Monitoring in High Speed Machining”, CD Proceeding of the 4th IEEE International Conference on Industrial Informatics, 16-18 August 2006, Singapore, pp 1217-1222.2006

57.   B. Song, X. Li, W. K. Ng, “A Framework for An Intelligent Design-support System Based on Product Lifecycle Data”, CD Proceeding of the 3rd International Conference on Product Lifecycle Management, Bangalore, India, 10-12 July, 2006 ISBN: 0-907776-26-4, 2006, pp151-163.2006

58.   X. Li, J.H. Zhou, J.X. Ren, Q.Z.Yang and W.F. Lu, “Customer Demand Discovery for New Product Design”, CD proceedings of The 15th International Conference on Engineering Design (ICED 05), ID-333.65, Melbourne, Australia, 15-18 Aug. 2005.

59.   Junhong Zhou, Xiang Li, Anton J.R. Andernroomer, Hao Zeng, Kiah Mok Goh, Yoke San Wong, Geok Soon Hong  “Intelligent Prediction Monitoring System for Predictive Maintenance in Manufacturing”, Proceedings of the 31st Annual Conference of the IEEE Industrial Electronics Society –IECON’05, North Carolina, USA, 6-10 Nov 2005, IEEE Cat. No: 05CH37699C, ISBN 0-7803-9253-1, pp 2314-2319, (c)2005 IEEE.

60.   Beng Siong Lim, Xiang Li, JunHong Zhou, Kiah Mok Goh, Tin Wee Tan, Wee Keong Ng, “Online Self-Learning Design of An Integrated Automated Laboratory Line”, Proceedings of the 31st Annual Conference of the IEEE Industrial Electronics Society –IECON’05, North Carolina, USA, 6-10 Nov 2005, IEEE Cat. No: 05CH37699C, ISBN 0-7803-9253-1, pp 2290-2295, (c)2005 IEEE.

61.    Hao Zeng, Beng Siong Lim, Geok Hong Phua, Zhongqiang Ding, Leck Leng Aw, Toh Khoong Tan, Xiang Li, Pin Tat Hee, Kiah Mok Goh, Pin Tat Hee, Yan Chuan Goh, Kok Kee Yuen, “Electrode Verification and Management System for Automation of EDM Process in Mould Industry”, Proceedings of the 31st Annual Conference of the IEEE Industrial Electronics Society –IECON’05, North Carolina, USA, 6-10 Nov 2005, IEEE Cat. No: 05CH37699C, ISBN 0-7803-9253-1, pp 474-479, (c)2005 IEEE.

62.   R. Tilani, D. M.Shi, X. Li and A. Harkisanka, “Product Demand Forecasting with a Fuzzy Cerebellar Model Articulation Controller”, Proceedings of 24th International Symposium on Forecasting (ISF2004), Sydney, Australia, 4-7 July, 2004.

63.   X. Li, K.J. Hee, Y.S. Cheng, “A Web-based Intelligent Forecasting System”, the Proceeding of 7th International Conference in Knowledge-Based Intelligent Information & Engineering System (KES2003), Part II, 3-5 September, 2003, University of Oxford, United Kingdom, pp 993-999.

64.   Yew-Kwong Woon, Xiang Li, Wee-Keong Ng, Wen-Feng Lu, “Parameterless Data Compression and Noise Filtering Using Association Rule Mining”, the Proceeding of 5th International Conference on Data Warehousing and Knowledge Discovery (DaWaK2003), September 3-5, 2003, Prague, Czech Republic, pp278-287.

65.   Yew-Kwong Woon, Wee-Keong Ng, Xiang Li, Wen-Feng Lu, “Efficient Web Log Mining for Product Development”, 2003 International Conference on CYBERWORLDS, 3-5 December 2003, Singapore, pp294-301.

66.   Qizhen Yang and Xiang Li, “Representation and Execution of Building Codes for Automated Code Checking”, the Proceeding of Computer Aided Architectural Design Futures 2001, July 2001, Netherlands, pp. 315-329.

67.   X. Li, A. Tay and C. L. Ang, “A Fuzzy Neural Network for Virtual Equipment Design”, CD-ROM Proceedings of Intelligent Automation in New Millennium, IEEE Sixth International Conference on Control, Automation, Robotics and Vision, Dec. 5-8, 2000, Singapore, paper #443.

68.   Zhiqi Shen, Xiang Li, Robert Gay, Yuan Miao and Zhonghua Yang ,      “An Intelligent Agent Architecture for Business Forecasting”, International Symposium on Multi-Agents and Mobile Agents in Virtual Organizations and E-Commerce (MAMA'2000), December 2000, USA

69.   X. Li, C.L. Ang, R. Gay, “An Intelligent Business Forecaster”, Proceedings of 1997 Annual Meeting of the Decision Sciences Institute, San Diego, California, USA, November 22-25, 1997, pp. 1039-1041.

70.   X. Li, C. L. Ang & P. Z. Wang, “An Intelligent Scenarios Generator”, Proceedings of 1994 IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, Texas, USA, October 2-5, 1994, pp. 177-182.

 

Book Chapters:

1.      X. Li, W.F.Lu, L.Y.Zhai, M.J.Er, Y.P.Pan, “Remaining Life Prediction of Cores Based on Data-driven and Physical Modeling Methods”, Invited Book Chapter in Handbook of Manufacturing Engineering and Technology, edited by Andrew Y. C. Nee, Springer Reference, ISBN 978-1-4471-4670-4 (eBook), Springer-Verlag London, pp 3239-3264, 2015.

2.      X. Li, J.H. Zhou, W.F. Lu, “Quantification of Customer Multi-Preference and Motivation Through Data and Text Mining in New Product Design”, Invited Book Chapter in X.F.Zha, R.j.Howlett (eds): Frontiers in Artificial Intelligence and Applications: Integrated Intelligent Systems for Engineering Design, IOS Press, Amsterdam / Berlin / Oxford / Tokyo / Washington DC, ISBN: 1-58603-675-0, Chapter 6,  2006, pp 99-118.

3.      X. Li, C.L. Ang, R. Gay, “An Intelligent Hybrid System for Business Forecasting”, Invited Book Chapter in Cornelius T. Leondes (ed): Intelligent Knowledge-Based Systems: Business and Technology in the New Millennium , Kluwer Academic Publishers, Boston/Dordrecht/London, ISBN: 1-4020-7829-3, Vol 4,  2005, pp147-211.

4.      Z. Shen, R. Gay, X. Li and Z.H. Yang, "An Agent Approach for Intelligent Business Forecasting", Book Chapter in Cornelius T. Leondes (ed): Intelligent Systems, Technology and Applications, Volume V: Manufacturing, Industrial and Management Systems, CRC Press LCC, Boca Raton, Florida, USA. 2002, pp 153-175.

Awards:

IES Prestigious Engineering Achievement Award 2011, issued by The Institution of Engineers, Singapore on 11 Nov. 2011

The award is for the research project entitled “Development of Intelligent Techniques for Modelling, Controlling and Optimising Complex Manufacturing Systems” which is granted by A*STAR SERC Singapore Poland Joint Research Programme (2008-2011)