Publications

Journal Papers

• Chen, S., Meng, Y., Tang, H., Tian, Y., He, N., & Shao, C. (2020). Robust Deep Learning-Based Diagnosis of Mixed Faults in Rotating Machinery. IEEE/ASME Transactions on Mechatronics.
• Wen, B., S. Chen, and C. Shao, (2020). “Temporal action proposal for online driver action monitoring using Dilated Convolutional Temporal Prediction Network.” Computers in industry, 121, 103255.
• Yang, Y., Y. Zhang, Y. D. Cai, Q. Lu, S. Koric, and C. Shao, (2019). “Hierarchical measurement strategy for cost-effective interpolation of spatiotemporal data in manufacturing.” Journal of Manufacturing Systems, 53, 159-168.
• Shao, C., H. Wang, S. Suriano-Puchala, and S. J. Hu, (2019). “Engineering fusion spatial modeling to enable areal measurement system analysis for optical surface metrology.” Measurement, 136, pp.163-172.
• Meng, Y., Y. Yang, H. Chung, P.H. Lee, and C. Shao, (2018), “Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review.” Sustainability 10, no. 12: 4779.
• Xu, K., Z. Feng, H. Wu, F. Li, and C. Shao, (2018), “Investigating the influence of rail grinding on stability, vibration, and ride comfort of high-speed EMUs using multi-body dynamics modelling,” Vehicle System Dynamics: 1-22.
• Lee, P. H., J.S. Kim, S.W. Lee, C. Shao, and H. Chung,  (2018). “Experimental investigation on a hybrid manufacturing process of micro-scale mold for biomimetic intestinal villi’s scaffold,” Journal of Mechanical Science and Technology, 32(9), 4283-4289.
• Yang, Y. and C. Shao, (2018), “Spatial interpolation for periodic surfaces in manufacturing using a bessel additive variogram model,” ASME Journal of Manufacturing Science and Engineering, Vol. 140, No. 6, pp. 061001.
• Shireen, T., C. Shao, H. Wang, J. Li, X. Zhang, and M. Li, (2018), “Iterative multi-task learning for time-series modeling of solar panel PV outputs,” Applied Energy, Vol. 212, pp. 654–662.
• Shao, C., J. Jin, and S. J. Hu, (2017), “Dynamic sampling design for characterizing spatiotemporal processes in manufacturing,” ASME Journal of Manufacturing Science and Engineering, Vol. 139, No. 10, pp. 101002. (An earlier version of this paper was presented at the 2017 ASME International Manufacturing Science and Engineering Conference and won the Best Paper Award).
• Khan, H. A., J. J. Li, and C. Shao, (2017), “Analyses of friction stir riveting processes: A review,” ASME Journal of Manufacturing Science and Engineering, Vol. 139, No. 9, pp. 090801. (An earlier version of this paper was presented at the 2017 ASME International Manufacturing Science and Engineering Conference).
• Shao, C., J. Ren, H. Wang, J. Jin, and S. J. Hu, (2017), “Improving machined surface shape prediction by integrating multi-task learning with cutting force variation modeling,” Journal of Manufacturing Science and Engineering, Vol. 139, No. 1, pp. 011014.
• Zerehsaz, Y., C. Shao, and J. Jin, (2016), “Tool wear monitoring in ultrasonic welding using high-order decomposition,” Journal of Intelligent Manufacturing, 1-13.
• Chen, Z., C. Shao, W. Wang, Z. Zuo, X. Mou, S. J. Hu, J. A. DiGiuseppe, Y. Zu, L. J. Medeiros, and S. Hu, (2017), “Cytogenetic landscape and impact in blast phase of chronic myelogenous leukemia in the era of tyrosine kinase inhibitor therapy,” Leukemia, Vol. 31, pp. 585–592.
• Guo, W., C. Shao, T. H. Kim, J. Jin, S. J. Hu, H. Wang, and J. P. Spicer, (2016), “Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion batteries: An integration of univariate and multivariate methods,” Journal of Manufacturing Systems, Vol. 38, pp. 141-150.
• Shao, C., T. H. Kim, J. Jin, S. J. Hu, J. P. Spicer, and J. A. Abell, (2015), “Tool wear monitoring for ultrasonic metal welding of lithium-ion batteries,” Journal of Manufacturing Science and Engineering, Vol. 138, No. 5, pp. 051005. (This paper was also presented at the 2015 ASME International Manufacturing Science and Engineering Conference).
• Suriano, S., H. Wang, C. Shao, S. J. Hu, and P. Sekhar, (2015), “Progressive measurement and monitoring for multi-resolution data in surface manufacturing considering spatial and cross correlations,” IIE Transactions, Vol. 47, No. 10, pp. 1033-1052. (This paper was selected as one Feature Article in IIE Transactions).
• Lee, S.S., C. Shao, T. H. Kim, S. J. Hu, E. Kannatey-Asibu, W. W. Cai, J. P. Spicer, and J. A. Abell, (2014), “Characterization of ultrasonic metal welding by correlating online sensor signals with weld attributes,” Journal of Manufacturing Science and Engineering, Vol. 136, No. 5, pp. 051019. (This paper was also presented at the 2014 ASME International Manufacturing Science and Engineering Conference).
• Shao, C. and J. Sheng, (2014), “The framework for linear periodic time-delay systems based on semi-discretization: stability analysis and control,” Asian Journal of Control, Vol. 16, No. 5, pp. 1350-1360.
• Shao, C., K. Paynabar, T. H. Kim, J. Jin, S. J. Hu, J. P. Spicer, H. Wang, and J. A. Abell, (2013), “Feature selection for manufacturing process monitoring using cross-validation,” Journal of Manufacturing Systems, Vol. 32, No. 4, pp. 550-555. (This paper was also presented at the 41st Annual North American Manufacturing Research Conference).

Book Chapters

• Lee, S.S., C. Shao, T. H. Kim, S. J. Hu, E. Kannatey-Asibu, W. W. Cai, J. P. Spicer, and J. A. Abell, (2014), “Characterization of ultrasonic metal welding by correlating online sensor signals with weld attributes.” In W. W. Cai, B. Kang, and S. J. Hu (Eds.), Ultrasonic Welding of Lithium-Ion Batteries. New York, NY: AMSE Press.
• Shao, C., T. H. Kim, J. Jin, S. J. Hu, J. P. Spicer, and J. A. Abell, (2017), “Tool wear monitoring for ultrasonic metal welding of lithium-ion batteries,” In W. W. Cai, B. Kang, and S. J. Hu (Eds.), Ultrasonic Welding of Lithium-Ion Batteries (pp. 145-162). New York, NY: AMSE Press.

Refereed Conference Papers

• Yang, Y., Y. D. Cai, Q. Lu, Y. Zhang, S. Koric, and C. Shao, “High-Performance Computing Based Big Data Analytics for Smart Manufacturing,”  ASME 2018 13th International Manufacturing Science and Engineering Conference, College Station, Texas, June 18–22, 2018, pp. V003T02A013.
• Lee, P. H., H. Chung, P. S. McCormick, P. Kwon, H. Nguyen, Y. Yang and C. Shao, “Experimental and Statistical Study on Magnetic-Field Assisted Finishing of Mold Steel Using Nano-Scale Solid Lubricant and Abrasive Particles“, ASME 2018 13th International Manufacturing Science and Engineering Conference, College Station, Texas, June 18–22, 2018,  pp. V003T02A012.
• Shao, C., W. Guo, T. H. Kim, J. Jin, S. J. Hu, J. P. Spicer, and J. A. Abell, “Characterization and monitoring of tool wear in ultrasonic metal welding,” 9th International Workshop on Microfactories, Honolulu, Hawai‘i, October 5-8, 2014, pp. 161-169.
• Sheng, J., C. Shao, Z. Ding, and H. Ji, “Consensus control of a class of nonlinear systems with communication time delay,” 2014 American Control Conference, Portland, Oregon, June 4-6, 2014, pp. 819-824, IEEE.
• Shao, C. and J. Sheng, “Stability analysis and control of linear periodic time-delay systems with state-space models based on semi-discretization,” 2012 UKACC International Conference on Control, Cardiff, UK, September 3-5, 2012, pp. 784-788, IEEE.
• Sheng, J., K. Han, and C. Shao, “Finite time controller design for single inverted pendulum system,” 2012 Chinese Control Conference, pp. 1468–1472, IEEE, 2012.
• Sheng, J., C. Shao, L. Wang, Z. Chen, and C. Jiang, “Stability analysis and control of linear neutral systems based on method of semi-discretization,” 2010 Chinese Control and Decision Conference, pp. 723–728, IEEE, 2010.
• Sheng J., H. Li, C. Shao, K. Han, and Z. Chen, “Control design of linear systems with variable time-delay based on hysteresis-based switching algorithms and semi-discretization,” 2010 Chinese Control Conference, pp. 363–368, IEEE, 2010.

Magazine Articles

• Shao, C., “University of Michigan students have hand in Volt battery reliability,” Momentum, SAE International, pp. 10-11, March 2015.