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Publications

A suitable acknowledgement of the RGC funding should be included in any equipment purchased and any publication arising from the work done on the project funded in whole or in part by the RGC. The following format of acknowledgement should be used:

“The work described in this paper (or “This equipment”) was fully/substantially/partially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. [T32-101/15-R])”.

List of publications

  1. Bensoussan, A., Xie, Y., & Yan, H. (2019). Joint inventory-pricing optimization with general demands: An alternative approach for concavity preservation. Production and Operations Management, 28(9), 2390-2404. doi:10.1111/poms.13059
  2. Cai, B., Liu, Y., & Fan, Q. (2016). A multiphase dynamic bayesian networks methodology for the determination of safety integrity levels. Reliability Engineering and System Safety, 150, 105-115. doi:10.1016/j.ress.2016.01.018
  3. Chan, N. H., Cheung, S. K. C., & Wong, S. P. S. (2020). Inference for the degree distributions of preferential attachment networks with zero-degree nodes. Journal of Econometrics, 216(1), 220-234. doi:10.1016/j.jeconom.2020.01.015
  4. Chan, N. H., Ing, C. -., & Zhang, R. (2019). Nearly unstable processes: A prediction perspective. Statistica Sinica, 29(1), 139-163. doi:10.5705/ss.202016.0069
  5. Chang, J., Chen, Z., Wang, X., & Zhang, J. (2020). The determination of comprehensive importance ratings of electric vehicle's technical characteristics based on QFD under uncertain context. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 26(1), 103-113. doi:10.13196/j.cims.2020.01.011
  6. Chang, J. -., Chen, Z. -., Liu, X. -., Kong, W. -., Xiong, S. -., & Martinez, L. (2019). Paradigm shift toward aggregation strategies in proportional hesitant fuzzy multi-criteria group decision making models of advanced practice for selecting electric vehicle battery supplier. IEEE Access, 7, 172534-172561. doi:10.1109/ACCESS.2019.2956393
  7. Chang, J. -., Chen, Z. -., Xiong, S. -., Zhang, J., & Chin, K. -. (2019). Intuitionistic fuzzy multiple criteria group decision making: A consolidated model with application to emergency plan selection. IEEE Access, 7, 41958-41980. doi:10.1109/ACCESS.2019.2906879
  8. Chen, K., Huang, R., Chan, N. H., & Yau, C. Y. (2019). Subgroup analysis of zero-inflated poisson regression model with applications to insurance data. Insurance: Mathematics and Economics, 86, 8-18. doi:10.1016/j.insmatheco.2019.01.009
  9. Chen, Y., Zhao, Y., & Tsui, K. L. (2019). Clustering-based travel pattern recognition in rail transportation system using automated fare collection data. Paper presented at the 2019 Prognostics and System Health Management Conference, PHM-Qingdao 2019, doi:10.1109/PHM-Qingdao46334.2019.8943009 Retrieved from www.scopus.com
  10. Chen, Z. -., Chin, K. -., Mu, N. -., Xiong, S. -., Chang, J. -., & Yang, Y. (2017). Generating HFLTS possibility distribution with an embedded assessing attitude. Information Sciences, 394-395, 141-166. doi:10.1016/j.ins.2017.02.025
  11. Chen, Z. -., Chin, K. -., & Tsui, K. -. (2019). Constructing the geometric bonferroni mean from the generalized bonferroni mean with several extensions to linguistic 2-tuples for decision-making. Applied Soft Computing Journal, 78, 595-613. doi:10.1016/j.asoc.2019.03.007
  12. Chen, Z. -., Li, M., Kong, W. -., & Chin, K. -. (2019). Evaluation and selection of hazmat transportation alternatives: A PHFLTS-and TOPSIS-integrated multi-perspective approach. International Journal of Environmental Research and Public Health, 16(21) doi:10.3390/ijerph16214116
  13. Chen, Z. -., Liu, X. -., Chin, K. -., Pedrycz, W., Tsui, K. -., & Skibniewski, M. J. (2021). Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in china. Information Fusion, 69, 22-39. doi:10.1016/j.inffus.2020.11.010
  14. Chen, Z. -., Liu, X. -., Rodriguez, R. M., Wang, X. -., Chin, K. -., Tsui, K. -., & Martinez, L. (2020). Identifying and prioritizing factors affecting in-cabin passenger comfort on high-speed rail in china: A fuzzy-based linguistic approach. Applied Soft Computing Journal, 95 doi:10.1016/j.asoc.2020.106558
  15. Chen, Z. -., Martinez, L., Chang, J. -., Wang, X. -., Xionge, S. -., & Chin, K. -. (2019). Sustainable building material selection: A QFD- and ELECTRE III-embedded hybrid MCGDM approach with consensus building. Engineering Applications of Artificial Intelligence, 85, 783-807. doi:10.1016/j.engappai.2019.08.006
  16. Chen, Z. -., Martinez, L., Chin, K. -., & Tsui, K. -. (2018). Two-stage aggregation paradigm for HFLTS possibility distributions: A hierarchical clustering perspective. Expert Systems with Applications, 104, 43-66. doi:10.1016/j.eswa.2018.03.013
  17. Chen, Z. -., Xu, M., Wang, X. -., Chin, K. -., Tsui, K. -., & Martinez, L. (2018). Individual semantics building for HFLTS possibility distribution with applications in domain-specific collaborative decision making. IEEE Access, 6, 78803-78828. doi:10.1109/ACCESS.2018.2885342
  18. Chen, Z. -., Yang, L. -., Rodriguez, R. M., Xiong, S. -., Chin, K. -., & Martinez, L. (2021). Power-average-operator-based hybrid multiattribute online product recommendation model for consumer decision-making. International Journal of Intelligent Systems, doi:10.1002/int.22394
  19. Chen, Z. -., Yang, Y., Chin, K. -., & Li, Y. -. (2017). Corrigendum to 'Proportional hesitant fuzzy linguistic term set for multiple criteria group decision making'[information sciences 357 (2016) 61-87] (S0020025516302353)(10.1016/j.ins.2016.04.006). Information Sciences, 396, 182-184. doi:10.1016/j.ins.2017.02.047
  20. Chen, Z. -., Yang, Y., Wang, X. -., Chin, K. -., & Tsui, K. -. (2019). Fostering linguistic decision-making under uncertainty: A proportional interval type-2 hesitant fuzzy TOPSIS approach based on hamacher aggregation operators and andness optimization models. Information Sciences, 500, 229-258. doi:10.1016/j.ins.2019.05.074
  21. Chen, Z. -., Yu, C., Chin, K. -., & Martinez, L. (2019). An enhanced ordered weighted averaging operators generation algorithm with applications for multicriteria decision making. Applied Mathematical Modelling, 71, 467-490. doi:10.1016/j.apm.2019.02.042
  22. Chen, Z. -., Zhang, X., Govindan, K., Wang, X. -., & Chin, K. -. (2021). Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach. Expert Systems with Applications, 166 doi:10.1016/j.eswa.2020.114051
  23. Chen, Z. -., Zhang, X., Pedrycz, W., Wang, X. -., Chin, K. -., & Martinez, L. (2021). K-means clustering for the aggregation of HFLTS possibility distributions: N-two-stage algorithmic paradigm. Knowledge-Based Systems, 227 doi:10.1016/j.knosys.2021.107230
  24. Chen, Z. -., Zhang, X., Pedrycz, W., Wang, X. -., & Skibniewski, M. J. (2020). Bid evaluation in civil construction under uncertainty: A two-stage LSP-ELECTRE III-based approach. Engineering Applications of Artificial Intelligence, 94 doi:10.1016/j.engappai.2020.103835
  25. Chen, Z. -., Zhang, X., Rodriguez, R. M., Wang, X. -., & Chin, K. -. (2019). Heterogeneous interrelationships among attributes in multi-attribute decision-making: An empirical analysis. International Journal of Computational Intelligence Systems, 12(2), 984-997. doi:10.2991/ijcis.d.190827.001
  26. Cheng, C. H., Chow, C. L., & Chow, W. K. (2021). A simulation study of tenability for passengers in a railway tunnel with arson fire. Tunnelling and Underground Space Technology, 108 doi:10.1016/j.tust.2020.103679
  27. Cheng, J., & Chan, N. H. (2019). Efficient inference for nonlinear state space models: An automatic sample size selection rule. Computational Statistics and Data Analysis, 138, 143-154. doi:10.1016/j.csda.2019.03.010
  28. Chin, K. -., Yang, Q., Chan, C. Y. P., Tsui, K. L., & Li, Y. -. (2019). Identifying passengers' needs in cabin interiors of high-speed rails in china using quality function deployment for improving passenger satisfaction. Transportation Research Part A: Policy and Practice, 119, 326-342. doi:10.1016/j.tra.2018.12.004
  29. Chow, W. K., Gao, Y., Zhao, J. H., Dang, J. F., & Chow, N. C. L. (2016). A study on tilted tunnel fire under natural ventilation. Fire Safety Journal, 81, 44-57. doi:10.1016/j.firesaf.2016.01.014
  30. Chow, W. K., Gao, Y., Zou, J. F., Liu, Q. K., Chow, C. L., & Miao, L. (2018). Numerical studies on thermally-induced air flow in sloping tunnels with experimental scale modelling justifications. Fire Technology, 54(4), 867-892. doi:10.1007/s10694-018-0713-3
  31. De, A., Wang, J., & Tiwari, M. K. (2021). Fuel bunker management strategies within sustainable container shipping operation considering disruption and recovery policies. IEEE Transactions on Engineering Management, 68(4), 1089-1111. doi:10.1109/TEM.2019.2923342
  32. De, A., Wang, J., & Tiwari, M. K. (2020). Hybridizing basic variable neighborhood search with particle swarm optimization for solving sustainable ship routing and bunker management problem. IEEE Transactions on Intelligent Transportation Systems, 21(3), 986-997. doi:10.1109/TITS.2019.2900490
  33. Dong, G., Yang, F., Wei, Z., Wei, J., & Tsui, K. -. (2020). Data-driven battery health prognosis using adaptive brownian motion model. IEEE Transactions on Industrial Informatics, 16(7), 4736-4746. doi:10.1109/TII.2019.2948018
  34. Dui, H., Li, S., Xing, L., & Liu, H. (2019). System performance-based joint importance analysis guided maintenance for repairable systems. Reliability Engineering and System Safety, 186, 162-175. doi:10.1016/j.ress.2019.02.021
  35. Dui, H., Si, S., & Yam, R. C. M. (2018). Importance measures for optimal structure in linear consecutive-k-out-of-n systems. Reliability Engineering and System Safety, 169, 339-350. doi:10.1016/j.ress.2017.09.015
  36. Fan, W., Li, Y., Tsui, K. L., & Zhou, Q. (2018). A noise resistant correlation method for period detection of noisy signals. IEEE Transactions on Signal Processing, 66(10), 2700-2710. doi:10.1109/TSP.2018.2813305
  37. Gao, Y., & Wang, J. W. (2021). A resilience assessment framework for urban transportation systems. International Journal of Production Research, 59(7), 2177-2192. doi:10.1080/00207543.2020.1847339
  38. Ghafoor, I., Tse, P. W., Rostami, J., & Ng, K. M. (2021). Non-contact inspection of railhead via laser-generated rayleigh waves and an enhanced matching pursuit to assist detection of surface and subsurface defects. Sensors, 21(9) doi:10.3390/s21092994
  39. Gu, C., He, Y., Han, X., & Xie, M. (2017). Comprehensive cost oriented predictive maintenance based on mission reliability for a manufacturing system. Paper presented at the Proceedings - Annual Reliability and Maintainability Symposium, doi:10.1109/RAM.2017.7889713 Retrieved from www.scopus.com
  40. Han, X., Wang, Z., Xie, M., He, Y., Li, Y., & Wang, W. (2021). Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence. Reliability Engineering and System Safety, 210 doi:10.1016/j.ress.2021.107560
  41. He, K., Liu, B., Xie, M., Do, P., Iung, B., & Kuo, W. (2021). Reliability analysis of systems with discrete event data using association rules. Quality and Reliability Engineering International, doi:10.1002/qre.2942
  42. He, Y., Xu, Z., Zhao, Y., & Tsui, K. -. (2019). Dynamic evolution analysis of metro network connectivity and bottleneck identification: From the perspective of individual cognition. IEEE Access, 7, 2042-2052. doi:10.1109/ACCESS.2018.2885712
  43. He, Y., Zhao, Y., & Tsui, K. L. (2021). An adapted geographically weighted LASSO (ada-GWL) model for predicting subway ridership. Transportation, 48(3), 1185-1216. doi:10.1007/s11116-020-10091-2
  44. He, Y., Zhao, Y., & Tsui, K. L. (2020). Modeling and analyzing modeling and analyzing impact factors of metro station ridership: An approach based on a general estimating equation factors influencing metro station ridership: An approach based on general estimating equation. IEEE Intelligent Transportation Systems Magazine, 12(4), 195-207. doi:10.1109/MITS.2020.3014438
  45. He, Y., Zhao, Y., & Tsui, K. -. (2019). Geographically modeling and understanding factors influencing transit ridership: An empirical study of shenzhen metro. Applied Sciences (Switzerland), 9(20) doi:10.3390/app9204217
  46. He, Y., Zhao, Y., Wang, H., & Tsui, K. L. (2020). GC-LSTM: A deep spatiotemporal model for passenger flow forecasting of high-speed rail network. Paper presented at the 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020, doi:10.1109/ITSC45102.2020.9294700 Retrieved from www.scopus.com
  47. Hong, N., Li, L., Yao, W., Zhao, Y., Yi, C., Lin, J., & Tsui, K. L. (2020). High-speed rail suspension system health monitoring using multi-location vibration data. IEEE Transactions on Intelligent Transportation Systems, 21(7), 2943-2955. doi:10.1109/TITS.2019.2921785
  48. Huang, C., Wang, L., Zhang, Z., Shun-Cheung Yeung, R., Bensoussan, A., Bensoussan, A., . . . Shu-Hung Chung, H. (2020). A novel spline model guided maximum power point tracking method for photovoltaic systems. IEEE Transactions on Sustainable Energy, 11(3), 1309-1322. doi:10.1109/TSTE.2019.2923732
  49. Huang, J., Obracht-Prondzynska, H., Kamrowska-Zaluska, D., Sun, Y., & Li, L. (2021). The image of the city on social media: A comparative study using 'Big data' and 'Small data' methods in the tri-city region in poland. Landscape and Urban Planning, 206 doi:10.1016/j.landurbplan.2020.103977
  50. Huang, Z., & Chan, N. H. (2020). Walsh fourier transform of locally stationary time series. Journal of Time Series Analysis, 41(2), 312-340. doi:10.1111/jtsa.12509
  51. Huang, Z., Yang, F., Xu, F., Song, X., & Tsui, K. -. (2019). Convolutional gated recurrent unit-recurrent neural network for state-of-charge estimation of lithium-ion batteries. IEEE Access, 7, 93139-93149. doi:10.1109/ACCESS.2019.2928037
  52. Ivanov, M. L., Peng, W., Wang, Q., & Chow, W. K. (2021). Sustainable smoke extraction system for atrium: A numerical study. Sustainability (Switzerland), 13(13) doi:10.3390/su13137406
  53. Jiang, F., Tan, M. H. Y., & Tsui, K. -. (2021). Multiple-target robust design with multiple functional outputs. IISE Transactions, 53(9), 1052-1066. doi:10.1080/24725854.2020.1823532
  54. Jiang, F., Yuen, K. K. R., & Lee, E. W. M. (2020). A long short-term memory-based framework for crash detection on freeways with traffic data of different temporal resolutions. Accident Analysis and Prevention, 141 doi:10.1016/j.aap.2020.105520
  55. Jiang, F., Yuen, K. K. R., & Lee, E. W. M. (2020). Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology. Journal of Safety Research, 75, 292-309. doi:10.1016/j.jsr.2020.09.004
  56. Kang, D., & Chan, A. (2019). Crowd counting by adaptively fusing predictions from an image pyramid. Paper presented at the British Machine Vision Conference 2018, BMVC 2018, Retrieved from www.scopus.com
  57. Kang, D., Dhar, D., & Chan, A. B. (2017). Incorporating side information by adaptive convolution. Paper presented at the Advances in Neural Information Processing Systems, , 2017-December 3868-3878. Retrieved from www.scopus.com
  58. Kang, D., Dhar, D., & Chan, A. B. (2020). Incorporating side information by adaptive convolution. International Journal of Computer Vision, 128(12), 2897-2918. doi:10.1007/s11263-020-01345-8
  59. Kang, D., Ma, Z., & Chan, A. B. (2019). Beyond counting: Comparisons of density maps for crowd analysis tasks-counting, detection, and tracking. IEEE Transactions on Circuits and Systems for Video Technology, 29(5), 1408-1422. doi:10.1109/TCSVT.2018.2837153
  60. Kong, X., Ai, M., & Tsui, K. L. (2018). Flexible sliced designs for computer experiments. Annals of the Institute of Statistical Mathematics, 70(3), 631-646. doi:10.1007/s10463-017-0603-3
  61. Li, C., Wang, X., Li, L., Xie, M., & Wang, X. (2020). On dynamically monitoring aggregate warranty claims for early detection of reliability problems. IISE Transactions, 52(5), 568-587. doi:10.1080/24725854.2019.1647477
  62. Li, C. -., & Li, F. (2020). Rescheduling production and outbound deliveries when transportation service is disrupted. European Journal of Operational Research, 286(1), 138-148. doi:10.1016/j.ejor.2020.03.033
  63. Li, G., Hwai-yong Tan, M., & Hui Ng, S. (2019). Metamodel-based optimization of stochastic computer models for engineering design under uncertain objective function. IISE Transactions, 51(5), 517-530. doi:10.1080/24725854.2018.1504355
  64. Li, G., Ng, S. H., & Tan, M. H. -. (2020). Bayesian optimal designs for efficient estimation of the optimum point with generalised linear models. Quality Technology and Quantitative Management, 17(1), 89-107. doi:10.1080/16843703.2018.1542965
  65. Li, J., Li, Y. F., Bi, Q., Li, Y., Chow, W. K., Cheng, C. H., . . . Chow, C. L. (2019). Performance evaluation on fixed water-based firefighting system in suppressing large fire in urban tunnels. Tunnelling and Underground Space Technology, 84, 56-69. doi:10.1016/j.tust.2018.10.020
  66. Li, J., Li, Y. F., Cheng, C. H., & Chow, W. K. (2019). A study on the effects of the slope on the critical velocity for longitudinal ventilation in tilted tunnels. Tunnelling and Underground Space Technology, 89, 262-267. doi:10.1016/j.tust.2019.04.015
  67. Li, Y., Chan, N. H., Yau, C. Y., & Zhang, R. (2021). Group orthogonal greedy algorithm for change-point estimation of multivariate time series. Journal of Statistical Planning and Inference, 212, 14-33. doi:10.1016/j.jspi.2020.08.002
  68. Li, Y., Chen, Y., Shou, B., & Zhao, X. (2019). Oligopolistic quantity competition with bounded rationality and social comparison. International Journal of Production Economics, 211, 180-196. doi:10.1016/j.ijpe.2019.01.020
  69. Li, Y., & Shou, B. (2021). Managing supply risk: Robust procurement strategy for capacity improvement. Omega (United Kingdom), 102 doi:10.1016/j.omega.2020.102352
  70. Li, Z., Lo, S. M., Liu, S., Ma, J., & Huang, D. (2021). Modeling metro passengers being eager to get aboard during the alighting and boarding process. Transportmetrica A: Transport Science, 17(4), 714-738. doi:10.1080/23249935.2020.1809548
  71. Li, Z., Lo, S. M., Ma, J., & Luo, X. W. (2020). A study on passengers' alighting and boarding process at metro platform by computer simulation. Transportation Research Part A: Policy and Practice, 132, 840-854. doi:10.1016/j.tra.2019.12.017
  72. Liang, R., Wang, J., Huang, M., & Jiang, Z. -. (2020). Truthful auctions for e-market logistics services procurement with quantity discounts. Transportation Research Part B: Methodological, 133, 165-180. doi:10.1016/j.trb.2020.01.002
  73. Liang, Z., Wang, J., & Lai, K. K. (2020). Dependence structure analysis and VaR estimation based on china's and international gold price: A copula approach. International Journal of Information Technology and Decision Making, 19(1), 169-193. doi:10.1142/S0219622019500445
  74. Lin, C. -., Cabrera, J., Yang, F., Ling, M. -., Tsui, K. -., & Bae, S. -. (2020). Battery state of health modeling and remaining useful life prediction through time series model. Applied Energy, 275 doi:10.1016/j.apenergy.2020.115338
  75. Lin, C. P., Ling, M. H., Cabrera, J., Yang, F., Yu, D. Y. W., & Tsui, K. L. (2021). Prognostics for lithium-ion batteries using a two-phase gamma degradation process model. Reliability Engineering and System Safety, 214 doi:10.1016/j.ress.2021.107797
  76. Ling, M. H., & Hu, X. W. (2020). Optimal design of simple step-stress accelerated life tests for one-shot devices under weibull distributions. Reliability Engineering and System Safety, 193 doi:10.1016/j.ress.2019.106630
  77. Ling, M. H., Ng, H. K. T., & Tsui, K. L. (2019). Bayesian and likelihood inferences on remaining useful life in two-phase degradation models under gamma process. Reliability Engineering and System Safety, 184, 77-85. doi:10.1016/j.ress.2017.11.017
  78. Liu, B., Do, P., Iung, B., & Xie, M. (2020). Stochastic filtering approach for condition-based maintenance considering sensor degradation. IEEE Transactions on Automation Science and Engineering, 17(1), 177-190. doi:10.1109/TASE.2019.2918734
  79. Liu, B., Lin, J., Zhang, L., & Xie, M. (2018). A dynamic maintenance strategy for prognostics and health management of degrading systems: Application in locomotive wheel-sets. Paper presented at the 2018 IEEE International Conference on Prognostics and Health Management, ICPHM 2018, doi:10.1109/ICPHM.2018.8448740 Retrieved from www.scopus.com
  80. Liu, B., Wu, S., Xie, M., & Kuo, W. (2017). A condition-based maintenance policy for degrading systems with age- and state-dependent operating cost. European Journal of Operational Research, 263(3), 879-887. doi:10.1016/j.ejor.2017.05.006
  81. Liu, B., Yeh, R. -., Xie, M., & Kuo, W. (2017). Maintenance scheduling for multicomponent systems with hidden failures. IEEE Transactions on Reliability, 66(4), 1280-1292. doi:10.1109/TR.2017.2740562
  82. Liu, H. (2019). Reliability and maintenance modeling for competing risk processes with weibull inter-arrival shocks. Applied Mathematical Modelling, 71, 194-207. doi:10.1016/j.apm.2019.02.017
  83. Liu, S. B., & Lo, S. M. (2017). Collection of passenger flow data and development of passenger flow maps in metro stations. Paper presented at the 2017 4th International Conference on Transportation Information and Safety, ICTIS 2017 - Proceedings, 152-157. doi:10.1109/ICTIS.2017.8047759 Retrieved from www.scopus.com
  84. Liu, W. W., Liu, Y., & Chan, N. H. (2019). Modeling eBay price using stochastic differential equations. Journal of Forecasting, 38(1), 63-72. doi:10.1002/for.2551
  85. Ma, Q., Shou, B., Huang, J., & Basar, T. (2021). Monopoly pricing with participation-dependent social learning about quality of service. Production and Operations Management, doi:10.1111/poms.13497
  86. Mahmood, T. (2020). Generalized linear model based monitoring methods for high-yield processes. Quality and Reliability Engineering International, 36(5), 1570-1591. doi:10.1002/qre.2646
  87. Mahmood, T., & Xie, M. (2019). Models and monitoring of zero-inflated processes: The past and current trends. Quality and Reliability Engineering International, 35(8), 2540-2557. doi:10.1002/qre.2547
  88. Masurkar, F., Ming Ng, K., Tse, P. W., & Yelve, N. P. (2020). Interrogating the health condition of rails using the narrowband rayleigh waves emitted by an innovative design of non-contact laser transduction system. Structural Health Monitoring, doi:10.1177/1475921720967600
  89. Masurkar, F., Rostami, J., & Tse, P. (2020). Design of an innovative and self-adaptive-smart algorithm to investigate the structural integrity of a rail track using rayleigh waves emitted and sensed by a fully non-contact laser transduction system. Applied Acoustics, 166 doi:10.1016/j.apacoust.2020.107354
  90. Masurkar, F., & Tse, P. (2019). Analyzing the features of material nonlinearity evaluation in a rectangular aluminum beam using rayleigh waves: Theoretical and experimental study. Journal of Physics Communications, 3(5) doi:10.1088/2399-6528/ab101d
  91. Masurkar, F., & Tse, P. (2020). Experimental evaluation of the true intrinsic nonlinearity of rail steel using rayleigh waves and a new nonlinearity parameter. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 11381 doi:10.1117/12.2557374 Retrieved from www.scopus.com
  92. Masurkar, F., & Tse, P. (2020). Theoretical and experimental evaluation of the health status of a 1018 steel I-beam using nonlinear rayleigh waves: Application to evaluating localized plastic damage due to impact loading. Ultrasonics, 108 doi:10.1016/j.ultras.2019.106036
  93. Masurkar, F., Tse, P., & Yelve, N. P. (2018). Evaluation of inherent and dislocation induced material nonlinearity in metallic plates using lamb waves. Applied Acoustics, 136, 76-85. doi:10.1016/j.apacoust.2018.02.011
  94. Masurkar, F., Tse, P. W., & Yelve, N. P. (2020). Theoretical and experimental measurement of intrinsic and fatigue induced material nonlinearities using lamb wave based nonlinearity parameters. Measurement: Journal of the International Measurement Confederation, 151 doi:10.1016/j.measurement.2019.107148
  95. Mulenga, K., Zhao, X., Xie, M., & Chikamba, C. (2018). Investigating the root causes of major failures of critical components - with a case study of asbestos cement pipes. Engineering Failure Analysis, 84, 121-130. doi:10.1016/j.engfailanal.2017.08.024
  96. Ng, K., & Tse, P. W. (2020). Design of a remote and integrated sagnac interferometer that can generate narrowband guided wave through the use of laser and effective optics to detect defects occurred in plates. Optics and Laser Technology, 123 doi:10.1016/j.optlastec.2019.105923
  97. Ng, K. M., Masurkar, F., Tse, P. W., & Yelve, N. P. (2019). Design of a new optical system to generate narrowband guided waves with an application for evaluating the health status of rail material. Optics Letters, 44(23), 5695-5698. doi:10.1364/OL.44.005695
  98. Ng, Y. W., Chow, W. K., Cheng, C. H., & Chow, C. L. (2019). Scale modeling study on flame colour in a ventilation-limited train car pool fire. Tunnelling and Underground Space Technology, 85, 375-391. doi:10.1016/j.tust.2018.12.026
  99. Omoleye, T. J., Alabdulkarim, A. A., & Tsui, K. L. (2019). Impact of resources and monitoring effectiveness on prognostics enabled condition based maintenance policy. Journal of Simulation, 13(4), 254-271. doi:10.1080/17477778.2018.1524269
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