{"id":4768,"date":"2026-07-27T10:53:02","date_gmt":"2026-07-27T02:53:02","guid":{"rendered":"https:\/\/membrane.cycu.edu.tw\/?page_id=4768"},"modified":"2026-07-27T11:02:32","modified_gmt":"2026-07-27T03:02:32","slug":"professor-junghui-chen","status":"publish","type":"page","link":"https:\/\/membrane.cycu.edu.tw\/?page_id=4768&lang=en","title":{"rendered":"Professor Junghui CHEN"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"4768\" class=\"elementor elementor-4768\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7ac6860 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7ac6860\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-37044be\" data-id=\"37044be\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-74655de elementor-widget elementor-widget-text-editor\" data-id=\"74655de\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"font-variant-ligatures: normal; font-variant-caps: normal; font-size: 14px; font-style: normal; font-weight: 400;\"><small style=\"font-size: 17px;\">[CMT Key Members]<\/small><\/p><p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-2569\" src=\"https:\/\/membrane.cycu.edu.tw\/wp-content\/uploads\/\u9673\u69ae\u8f1d-2.jpg\" alt=\"\" width=\"183\" height=\"275\" srcset=\"https:\/\/membrane.cycu.edu.tw\/wp-content\/uploads\/\u9673\u69ae\u8f1d-2.jpg 4400w, https:\/\/membrane.cycu.edu.tw\/wp-content\/uploads\/\u9673\u69ae\u8f1d-2-768x1152.jpg 768w, https:\/\/membrane.cycu.edu.tw\/wp-content\/uploads\/\u9673\u69ae\u8f1d-2-1024x1536.jpg 1024w, https:\/\/membrane.cycu.edu.tw\/wp-content\/uploads\/\u9673\u69ae\u8f1d-2-1365x2048.jpg 1365w\" sizes=\"(max-width: 183px) 100vw, 183px\" \/><\/p><h3>Professor Junghui CHEN<\/h3><div class=\"profile__courses__inner\" style=\"font-variant-ligatures: normal; font-variant-caps: normal; font-size: 14px; font-style: normal; font-weight: 400;\"><ul class=\"profile__courses__list\" style=\"font-size: 17px;\"><li style=\"font-size: 17px;\">Education Background\uff1aPh.D. in Chemical Engineering, University of Tennessee, Knoxville<\/li><li style=\"font-size: 17px;\">E-mail\uff1a <a href=\"mailto:jason@wavenet.cycu.edu.tw\">jason@wavenet.cycu.edu.tw<\/a><\/li><li style=\"font-size: 17px;\">Current Position\uff1aProfessor, Department of Chemical Engineering, Chung Yuan Christian University<\/li><\/ul><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0304b28 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0304b28\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3103430\" data-id=\"3103430\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a8ea495 elementor-widget elementor-widget-text-editor\" data-id=\"a8ea495\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4><strong>Professional Specialty<\/strong><strong>\uff1a<\/strong><\/h4><p>Dedicated to the research and development of Industrial Artificial Intelligence (Industrial AI), smart manufacturing, and advanced process control technologies, with the goal of helping industries adopt AI-driven intelligent decision-making, process optimization, and digital transformation.<\/p><ul><li><strong>Smart Manufacturing and Industrial AI:<\/strong> Applying artificial intelligence, big data analytics, and machine learning to smart manufacturing and process optimization.<\/li><li><strong>AI Predictive Modeling and Intelligent Process Control:<\/strong> Developing high-accuracy predictive models integrated with advanced control strategies to enhance process stability, operational efficiency, and economic performance.<\/li><li><strong>Smart Sensing, Virtual Metrology, and Fault Diagnosis:<\/strong> Leveraging neural networks, deep learning, and machine learning techniques to achieve real-time quality prediction, equipment health monitoring, and anomaly detection.<\/li><li><strong>Generative AI and Industrial Data Intelligence:<\/strong> Utilizing generative artificial intelligence for data augmentation, knowledge extraction, and AI-assisted decision support to accelerate industrial intelligence and digital transformation.<\/li><\/ul><h4><strong>Research Fields<\/strong><strong>\uff08Modeling\uff09\uff1a<\/strong><\/h4><ul><li><strong>Next-Generation Multi-Resolution Latent Variable Learning:<\/strong> Developing high-performance analytical models for smart manufacturing to enhance process monitoring, diagnosis, and intelligent decision-making.<\/li><li><strong>Tensor Learning and Foundation Models for High-Dimensional Process Intelligence:<\/strong> Advancing large-scale AI models for complex industrial processes to improve data analytics, representation learning, and knowledge extraction.<\/li><li><strong>Attention-Based Deep Learning:<\/strong> Developing intelligent process systems with autonomous perception, reasoning, and decision-making capabilities.<\/li><li><strong>Reinforcement Learning for Data Reconciliation and Fault Diagnosis:<\/strong> Integrating AI-driven autonomous learning with data reconciliation and fault diagnosis to enhance process reliability and improve anomaly detection accuracy.<\/li><li><strong>Physics-Informed and Explainable AI (XAI):<\/strong> Developing intelligent process models that integrate physical knowledge with explainable AI to achieve high accuracy, interpretability, and trustworthy decision-making.<\/li><\/ul><h4><strong>Research Fields<\/strong><strong>\uff08<\/strong><strong>Control\uff09\uff1a<\/strong><\/h4><ul><li><strong>Safe Autonomous Process Control (Control-Aware Reinforcement Learning):<\/strong> Developing intelligent control technologies that jointly optimize safety, autonomy, and control performance for advanced industrial processes.<\/li><li><strong>Integration of Large Language Models (LLMs) and Machine Learning:<\/strong> Developing AI-assisted systems for process design, intelligent control, and decision support to improve engineering productivity and decision quality.<\/li><li style=\"list-style-type: none;\">\u00a0<\/li><\/ul><h4><strong>Selected Publications\uff1a<\/strong><\/h4><ol><li><strong> Zhu,\u00a0X. Wang, Z. Li, and J. Chen,\u00a0<\/strong>Enhancing Quality Prediction in Industrial Processes with Spatiotemporal Attention-Based Data Techniques,\u00a0<em>IEEE Trans. Autom. Sci. Eng.<\/em>, 23, 9107-9118, 2026.<\/li><li><strong>-S. Lee\u00a0and\u00a0J. Chen,\u00a0<\/strong>Enhancing Within-Batch Quality Prediction by Cyber-Physical Latent State Models and Incomplete First-Principles,\u00a0<em>Eng. Appl. Artif.<\/em>, 174, 113982, 2026.<\/li><li><strong> Liu, P.-H. Chen and J. Chen<\/strong>, Advanced Batch Monitoring: Auto-Segmentation of Complex Processes Using Slow Feature Partial Least Squares<em>,\u00a0Adv. Eng. Inform.<\/em>, 69, Part B, 103895, 2026.<\/li><li><strong> Ren, Y. Shi, F. Sun, W. Zhang and J. Chen,\u00a0<\/strong>Enhanced Probabilistic Forecasting of Wind Power Using a Distribution-Free PDF Evolution Model,\u00a0<em>Renewable Energy<\/em>, 258, 124973, 2026.<\/li><li><strong>-S. Lee, S.-K. Ooi\u00a0and\u00a0J. Chen,\u00a0<\/strong>Developing Multi-step Ahead Quality Prediction Models for Early Warning Computers &amp; Industrial Engineering,\u00a0<em>Comput. Ind. Eng.<\/em>, 210, 111555, 2025.<\/li><li><strong> Rochpuang and J. Chen<\/strong>, Optimizing Organic Rankine Cycle Systems: A Hierarchical Reinforcement Learning Approach to Design and Control<em>, Appl. Thrm. Eng.<\/em>,\u00a0278, D, 127337, 2025.<\/li><li><strong>-S. Lee\u00a0and\u00a0J. Chen,\u00a0<\/strong>A Novel Reinforced Incomplete Cyber-Physics Ensemble with Error Compensation Learning for Within-Batch Quality Prediction,\u00a0<em>Adv. Eng. Inform.<\/em>,\u00a065, 103172, 2025.<\/li><li><strong> Zhu, J. Chen and\u00a0C.-I Chen,\u00a0<\/strong>Prognostics for Semiconductor Sustainability: Tool Failure Behavior Prediction in Fabrication Processes,\u00a0<em>IEEE Trans. Syst. Man Cybern.<\/em>, 54(6), 3450-3460, 2024.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>[CMT Key Members] Professor Junghui CHEN Education Back [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":3837,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4768","page","type-page","status-publish","hentry","entry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Professor Junghui CHEN - \u4e2d\u539f\u5927\u5b78\u8584\u819c\u6280\u8853\u7814\u7a76\u767c\u5c55\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/membrane.cycu.edu.tw\/?page_id=4768&lang=en\" \/>\n<meta property=\"og:locale\" content=\"zh_TW\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Professor Junghui CHEN - 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