Research

Journal Articles (Supervised students are underlined)

  • Y. Yang, Z. Ye, Y. Wang, C. Liu, and C. Kan, “Recurrence analysis of 3D point clouds for the detection of surface anomalies in advanced manufacturing,” Manufacturing Letters, Vol. 41, pp. 1499-1506, 2024.
  • Z. Ye, X. Liu, B. Peng, and C. Kan, “Predicting Mechanical Behavior of Additively Manufactured Mechanical Metamaterials using Point Cloud Representation Learning,”ASME Journal of Computing and Information Science in Engineering, Vol. 24, pp. 060901, 2024.
  • Y. Yang and C. Kan, “Recurrence network based 3D geometry representation learning for quality control in additive manufacturing of metamaterials,” ASME Journal of Manufacturing Science and Engineering, Vol. 145, pp. 111006, 2023.
  • E. Yangue, Z. Ye, C. Kan, and C. Liu, “Integrated deep learning-based online layer-wise surface prediction of additive manufacturing,” Manufacturing Letters, Vol. 35, pp. 760-769, 2023.
  • Z. Ye, C. Liu, and C. Kan, “Stereo vision enabled flexible in-situ process authentication of additive manufacturing,” Manufacturing Letters, Vol. 35, pp. 1155-1162, 2023.
  • Z. Shi, B. Oskolkov, W. Tian, C. Kan, and C. Liu, “Sensor Data Protection through Integration of Blockchain and Camouflaged Encryption in Cyber-physical Manufacturing Systems,”ASME Journal of Computing and Information Science in Engineering, pp. 1-25, 2023.
  • C. Kan, Z. Ye, H. Zhou, and S. Cheruku, “DG-ECG: Multi-stream deep graph learning for the recognition of disease-altered patterns in electrocardiogram,” Biomedical Signal Processing and Control, Vol. 80, part 2, pp. 104388, 2023.
  • Y. Yang, X. Liu, and C. Kan, “Point cloud based online detection of geometric defects for the certification of additively manufactured mechanical metamaterials,” Journal of Manufacturing Systems, Vol. 65, pp. 594-604, 2022.
  • C. Liu, W. Tian, and C. Kan, “When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development,” Journal of Manufacturing Systems, Vol. 44, pp. 648-656, 2022.
  • Z. Shi, A. Mamun, C. Kan, W. Tian, C. Liu, “An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing,” Journal of Intelligent Manufacturing, 2022.
  • X. Liu, C. Kan and Z. Ye, “Real-time multiscale prediction of structural performance in material extrusion additive manufacturing,” Additive Manufacturing, Vol.49, pp.102503, 2022.
  • O. Ngwu, A. Rimu, S. Deb, J. Lummus, C. Kan, and Y. Zhou, “Teenage bicyclists’ perceptions toward automated vehicles and their associated traffic infrastructure: A focus group discussion,” Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 89, pp. 371-384, 2022.
  • A. Mamun, C. Liu, C. Kan, and W. Tian, “Additive manufacturing process authentication based on streamline video analysis,” Journal of Manufacturing Systems, Vol. 62, pp. 429-440, 2022.
  • Z. Ye, C. Liu, W. Tian, and C. Kan, ” In-situ point cloud fusion for layer-wise monitoring of additive manufacturing,” Journal of Manufacturing Systems, Vol. 61, pp. 210-222, 2021.
  • R. Etminani, C. Kan, M. Qaisrani, O. Mogultay, and H. Zhou, “Examining the impacts of the built environment on quality of life in cancer patients using machine learning,” Sustainability, Vol. 13, no. 10, pp. 5438, 2021.
  • H. Zhou and C. Kan, “Tensor-based ECG anomaly detection toward cardiac monitoring in the Internet of Health Things,” Sensors, Vol. 21, no. 12, pp. 4173, 2021. 
  • Z. Shi, C. Kan, W. Tian, and C. Liu, “A blockchain-based G-code protection approach for cyber-physical security in additive manufacturing,” ASME Journal of Computing and Information Science in Engineering, Vol. 21, no. 4, pp. 041007, 2021.
  • L. Xu, Y. Liu, H. He, N. Fields, D. Ivey, and C. Kan, “Caregiving intensity and caregiver burden among caregivers of people with dementia: The moderating roles of social support,” Archives of Gerontology and Geriatrics, Vol. 94, pp. 104334, 2021.
  • R. Etminani, C. Kan, and L. Mozaffarian, “Investigating the role of transportation barriers in cancer patients’ decision making,” Transportation Research Record: Journal of the Transportation Research Board, Vol. 2675, no. 6, pp. 175-187, 2021.
  • H. Yang, C. Kan, A. Krall, D. Finke, “Network modeling and Internet of things for smart and connected health systems—a case study for smart heart health monitoring and management,” IISE Transactions on Healthcare Systems Engineering, Vol. 10, no. 3, 2020.
  • J. Etienne, Y. Zhou, C. Kan, et al., “Two-Step Predictive Model for Early Detection of Prolonged Stay patients: ED Management Implications”, American Journal of Emergency Medicine, Vol. 40, pp. 148-158, 2021.
  • L. Zhu, C. Kan, Y. Du, and D. Du, “Heart rate monitoring during physical exercise from Photoplethysmography using neural network,” IEEE Sensors Letters, Vol. 3, no. 1, pp. 7100904, 2019.
  • C. Kan, H. Yang, and S. Kumara, “Parallel computing and network analytics for fast Industrial Internet of Things (IIoT) machine information processing and condition monitoring,” Journal of Manufacturing Systems, Vol. 46, pp. 282-293, 2018.
  • KP. Yip, L. Balasubramanian, C. Kan, L. Wang, R. Liu, L. Ribeiro-Silva, JSK. Sham, “Intraluminal pressure triggers myogenic response via activation of calcium spark and calcium-activated chloride channel in rat renal afferent arteriole,” American Journal of Physiology-Renal Physiology, Vol. 315, no. 6, pp. F1592-F1600, 2018.
  • C. Kan and H. Yang, “Dynamic network monitoring and control of in situ image profiles from ultraprecision machining and biomanufacturing processes,” Quality and Reliability Engineering International, Vol. 33, No. 8, pp. 2003-2022, 2017.
  • C. Kan, C. Cheng, and H. Yang, “Heterogeneous recurrence monitoring of dynamic transients in Ultra-precision machining processes,” Journal of Manufacturing Systems, Vol. 41, pp. 178-187, 2016.
  • C. Cheng, C. Kan and H. Yang, “Heterogeneous recurrence modeling and analysis of heartbeat dynamics for the identification of sleep apnea events,” Computers in Biology and Medicine, Vol. 75, No. 1, pp. 10-18, 2016.
  • C. Kan, K.P. Yip, and H. Yang, “Two-phase greedy pursuit algorithm for automatic detection and characterization of transient calcium signaling,” IEEE Journal of Biomedical and Health Informatics, Vol. 19, No. 2, p687-697, 2015.
  • H. Yang, C. Kan, G. Liu, and Y. Chen “Spatiotemporal differentiation of myocardial infarctions,” IEEE Transactions on Automation Science and Engineering, Vol. 10, No. 4, p938-947, 2013.