The 13th CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (CAA SAFEPROCESS 2023)<\/em>, Yibin, 2023.<\/a><\/p>\n\n\n\n2. T. Wu, Y. Tang, H. Liu, Y. Yang, K. Zhang, L. Ma, H. Jiang, X. Wu, Z. Bai, J. Wen, F. Li, Y. Xia, C. Wang, K. Li. An Exploration for New Strategy: Degradation Modeling and Treatment Scheduling for the Degenerative Spine based on Predictive Models. International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)<\/em>, Harbin, 2022<\/p>\n\n\n\n3. H. Zhou, T. Wu, Q. Liu, Y. Zhuo, J. Huang, Z. Li, C. Wang and K. Li. Reliability Estimation of Medical Equipment Based on Big Data, The 8th IEEE International Symposium on System Security, Safety, and Reliability (ISSSR), <\/em>Chongqing,2022<\/p>\n\n\n\n4. T. Wu, C. Wang, K. Zhang, K. Li, Y. Cheng, Reliability Estimation and Risk Assessment of the Human Spine Based on Wiener Process, The 12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE),<\/em> Chengdu, 2022<\/p>\n\n\n\n5. C. Wang, E. A. Elsayed, K. Li. and J. Cabrera. \u201cMultisensor Degradation Data Fusion and Remaining Life Prediction,\u201d ASME 2017 Pressure Vessels and Piping Conference.<\/em> American Society of Mechanical Engineers, V005T10A003-V005T10A003, Hawaii, 2017.<\/p>\n\n\n\nPRESENTATIONS<\/strong><\/p>\n\n\n\n1. T. Wu, K. Li and C. Wang<\/strong>, Reliability Modeling of Human Lumbar Spine Degeneration, 2024 National Industrial Engineering Doctoral Academic Forum, Department of Industrial Engineering, Tsinghua University, Beijing, China<\/p>\n\n\n\n2. C. Wang<\/strong>, Reliability Engineering in Healthcare Systems, 2024 National Industrial Engineering Annual Conference, Zhuhai, China<\/p>\n\n\n\n3. Y. Tang, X. Chen, J. Zhao, and C. Wang<\/strong>. \u201cReliability Estimation of Complex Systems Based on the Internet of Things,\u201d presented at the 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes. Yibin, China, September, 2023.<\/p>\n\n\n\n4. C. Wang<\/strong>. \u201cStochastic Modeling of Degradation Branching Processes,\u201d presented at the 2023 16th<\/sup> Operations Research Society of China Annual Conference. Changsha, Hunan, 2023.<\/p>\n\n\n\n5. H. Zhou, Q. Liu, J. Huang, Z. Li, and C. Wang<\/strong>. \u201cReliability Estimation of Medical Equipment Based on Big Data,\u201d presented at the 2022 8th<\/sup> International Symposium on System Security, Safety, and Reliability. Chongqing, China, October, 2022.<\/p>\n\n\n\n6. C. Wang<\/strong>, H. Zhou, T. Wu, J. Huang, K. Li, Z. Li, and Q. Liu. \u201cAnomaly Detection of CT Equipment Based on IoT Data,\u201d presented at the 2022 International Conference for Chinese Scholars in Industrial Engineering. Chengdu, China, April, 2022.<\/p>\n\n\n\n7. T. Wu, Y. Tang, H. Liu, Y. Yang, K. Zhang, L. Ma, H. Jiang, X. Wu, Z. Bai, J. Wen, F. Li, Y. Xia, C. Wang<\/strong>, and K. Li. \u201cAn Exploration for New Strategy: Degradation Modeling and Treatment Scheduling for the Degenerative Spine Based on Predictive Models,\u201d presented at the 2022 International Conference on Sensing, Measurement & Data Analytics in the Era of Artificial Intelligence (ICSMD). IEEE, 2022: 1-6.<\/p>\n\n\n\n8. C. Wang<\/strong> and E. A. Elsayed, \u201cStochastic Modeling of Branching Degradation,\u201d 2019 IISE Annual Conference. Orlando, Florida, May, 2019<\/p>\n\n\n\n9. S. Guo, C. Wang<\/strong>, \u201cPaper Break Prediction Based on Classification in Multivariate Time Series,\u201d presented at the 2019 IISE Annual Conference. Orlando, Florida, May, 2019<\/p>\n\n\n\n10. C. Wang<\/strong> and E. A. Elsayed, \u201cStochastic Modeling of Corrosion Growth,\u201d presented at \u201c2018 INFORMS Annual Meeting\u201d. Phoenix, Arizona, November, 2018.<\/p>\n\n\n\n11. C. Wang<\/strong> and E. A. Elsayed, \u201cMissing Degradation Data Interpolation,\u201d presented at the workshop \u201cData and Decisions\u201d. Arizona, Phoenix, November, 2018<\/p>\n\n\n\n12. C. Wang<\/strong> and E. A. Elsayed, \u201cGamma Process Based Corrosion Volume Loss Stochastic Modeling and Reliability Analysis,\u201d presented at 2017 INFORMS New Jersey Chapter Student Contest. Piscataway, New Jersey, October, 2017.<\/p>\n\n\n\nACADEMIC CONFERENCE POSTER:<\/strong><\/p>\n\n\n\n1. C. Wang<\/strong> and E. A. Elsayed, \u201cStochastic Modeling of Branching Degradation,\u201d 2019 IISE Annual Conference QCRE Best Paper Competition<\/em>. Orlando, Florida, May, 2019<\/p>\n\n\n\n2. C. Wang<\/strong> and E. A. Elsayed, Stochastic Modeling of Corrosion Growth, 2018 INFORMS Annual Meetin<\/em>g”. Phoenix, Arizona, November, 2018<\/p>\n\n\n\nPATENTS:<\/strong><\/p>\n\n\n\n1. A Fault Prediction Method and System Based on Industrial Internet of Things Data, ZL202211619820.X, Granted <\/p>\n\n\n\n
2. An Anomaly Prediction Method for CT Equipment Based on IoMT Data, 202211619820X, Pending Authorization <\/p>\n\n\n\n
3. An Anomaly Prediction Method and System of MRI Equipment Based on IoT Data\uff0c2023101030183, Pending Authorization<\/p>\n\n\n\n
PROFESSIONAL AFFILIATIONS AND SERVICES:<\/strong><\/p>\n\n\n\nOperations Research Society of China (ORSC), Member (2023-Present).<\/p>\n\n\n\n
Institute for Operations Research and the Management Sciences (INFORMS), Member and Session Chair (2017-Present).<\/p>\n\n\n\n
Institute of Industrial and Systems Engineers (IISE), Member (2018-Present).<\/p>\n\n\n\n
Reviewer of the Following Journals:<\/strong><\/p>\n\n\n\nIISE Transactions<\/p>\n\n\n\n
IEEE Internet of Things Journal<\/p>\n\n\n\n
Reliability Engineering and System Safety<\/p>\n\n\n\n
IEEE Transactions on Automation Science and Engineering<\/p>\n\n\n\n
Quality and Reliability Engineering International<\/p>\n\n\n\n
Applied Stochastic Models in Business and Industry<\/p>\n\n\n\n
Editorial Board Member:<\/strong><\/p>\n\n\n\nInternational Journal of Applied Management Science<\/p>\n\n\n\n
COURSES TAUGHT:<\/strong><\/p>\n\n\n\nIE1082: Probabilistic Methods in Operations Research<\/p>\n\n\n\n
IE1040: Engineering Economic Analysis<\/p>\n\n\n\n
IE1083: Simulation Modeling<\/p>\n\n\n\n
Technical Elective: Data Analytics in IE<\/p>\n\n\n\n
Technical Elective: Reliability Engineering<\/p>\n\n\n\n
Technical Elective: Data Mining<\/p>\n","protected":false},"excerpt":{"rendered":"
Assistant Professor<\/strong><\/p>\r\nPh.D., Industrial and Systems Engineering, Rutgers University<\/p>\r\n
Experience: Rutgers University<\/p>\r\n
Email: changxi.wang@scupi.cn<\/p>","protected":false},"author":12,"featured_media":8565,"parent":214,"menu_order":450,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-7865","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/ppslots88.com\/wp-json\/wp\/v2\/pages\/7865","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ppslots88.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ppslots88.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ppslots88.com\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/ppslots88.com\/wp-json\/wp\/v2\/comments?post=7865"}],"version-history":[{"count":17,"href":"https:\/\/ppslots88.com\/wp-json\/wp\/v2\/pages\/7865\/revisions"}],"predecessor-version":[{"id":20148,"href":"https:\/\/ppslots88.com\/wp-json\/wp\/v2\/pages\/7865\/revisions\/20148"}],"up":[{"embeddable":true,"href":"https:\/\/ppslots88.com\/wp-json\/wp\/v2\/pages\/214"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ppslots88.com\/wp-json\/wp\/v2\/media\/8565"}],"wp:attachment":[{"href":"https:\/\/ppslots88.com\/wp-json\/wp\/v2\/media?parent=7865"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}