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IntroductionGao Dong, PhD in Engineering, Associate Professor. I graduated from Beijing University of Chemical Technology in 2010 with a PhD in Control Theory and Control Engineering. Served as the Secretary General of the Organizing Committee for the Siemens Cup China Intelligent Manufacturing Challenge Competition organized by the Ministry of Education, a member of the China Simulation Society, a member of the Education and Training Working Committee, and a member of the Simulation Discipline Construction Working Committee. Siemens SCE Elite Lecturer. My main research directions are chemical modeling and simulation, safety science, fault diagnosis and its applications. Published over 30 SCI/EI indexed papers. Hosted and participated in multiple National Natural Science Foundation projects and enterprise horizontal projects. I am the main lecturer of the excellent course Chemical Process and Control Simulation Internship in Beijing. EducationWork ExperienceSocial PositionSocial ActivitiesResearchIntelligent chemical safety analysis, simulation, and fault diagnosis Teaching1、Internship in Chemical Process and Control Simulation 2、Chemical Safety Assessment 3、Chemical Process Control and Intelligence 4、C Language Programming PostgraduatesFunding1、The National Natural Science Foundation (NNSF) of China (61703026) 2、The Key R&D and Transformation Plan Project of Qinghai Province （2023-QY-215） 3、Beijing Natural Science Foundation (L241008) Vertical ProjectHorizontal ProjectPublications（1）CHEN X H, ZHANG B K, GAO D*. Bearing fault diagnosis base on multi-scale CNN and LSTM model [J]. Journal of Intelligent Manufacturing, 2021, 32(4): 971-987. （2）WANG Z H, WANG B, REN M, GAO D*. A new hazard event classification model via deep learning and multifractal[J]. Computers in Industry, 2023,147,103875. （3）WANG Z H, ZHANG B K, GAO D*. A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process[J]. Computers in Industry,2022,139,103647. （4）WANG Z H, LIU H Z, LIU F L, GAO D*. Why KDAC? A general activation function for knowledge discovery[J]. Neurocomputing, 2022,501:343-358. （5）ZHANG H Q, ZHANG B K, GAO D*. A new approach of integrating industry prior knowledge for HAZOP interaction [J]. Journal of Loss Prevention in the Process Industries, 2023,82,105005. （6）ZHAO Y C, ZHANG B K, GAO D*. Construction of petrochemical knowledge graph based on deep learning[J]. Journal of Loss Prevention in the Process Industries, 2022,76,104736. （7）GUO S Q, GAO D*, LU D H, WANG M K. HAZOP knowledge graph construction Dual optimization of ontology design and information extraction[J]. Journal of Loss Prevention in the Process Industries,2026,99:105814. Awards1、The platform and application of high-precision dynamic process safety integration system for chemical equipment. The second prize of Science and Technology Progress Award of China Occupational Safety and Health Association in 2023. 2、The Intelligent Evaluation and Management Platform for Process Risks in Petrochemical Plants. the Special Prize of the 6th National Equipment Management and Technological Innovation Achievement Award of the China Equipment Management Association in 2024. PatentHonor RewardAdmissions Information |