Dr. Dong GAO
Associate Professor
Email: gaodong@mail.buct.edu.cn
Background
Gao 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.
Areas of Research of Expertise
Chemical process safety analysis
Chemical process simulation, and fault diagnosis
Teaching
Undergraduate Teaching
Internship in Chemical Process and Control Simulation
Chemical Safety Assessment
Chemical Process Control and Intelligence
C Language Programming
Research
Funded Research Projects
The National Natural Science Foundation of China:
Research of information standardization and analysis method of on-line safety assessment for petrochemical process.
The Key R&D and Transformation Plan Project of Qinghai Province:
Key Technologies and Demonstration Applications for Safe Operation of Polycrystalline Silicon Production Process and Equipment.
Beijing Natural Science Foundation:
Research on Key Technologies for Integrated Coordination and Control of Computing,Networking, and Operations in Digital and Intelligent Services for the Chemical Industry Chain.
Five Representative Publications
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.
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.
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.
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.
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.