Dr. Yongming Han
Professor, PhD Supervisor,
Chair of the Department of Computing
Email: hanym@mail.buct.edu.cn
Background
Professor Yongming Han is a professor and doctoral supervisor, mainly engaged in the research of energy efficiency intelligent optimization and control of chemical processes. Prof. Han has published more than 120 SCI articles (13 ESI highly cited papers) in authoritative journals such as IEEE Transactions and IFAC Journals as the first/corresponding author, authorized 13 national invention patents, served as a member of 6 SCI journals as a young person, guest and subject editorial board member, and held more than 10 outstanding youth funds, top-level projects, and youth projects of the National Natural Science Foundation of China (NNSF), and served as the vice chairman of the special committee of Network Computing and the member of the special committee of Data-driven Control, Learning and Optimization of the Chinese Society of Automation. Prof. Han also serves as the deputy director of the Network Computing Committee and the member of the Data-Driven Control, Learning and Optimization Committee of the Chinese Society of Automation, a member of the Youth Working Committee of the Chinese Society of Artificial Intelligence, a director of the Beijing Automation Society, a director of the Beijing Society of Artificial Intelligence, and so on. Meanwhile, Prof. Han has also been selected as one of the top 2% scientists in the world by Stanford University, the 2020-2022 Young Talent Support Program of Beijing Municipal Association for Science and Technology, and the Outstanding Talent Program of Beijing Municipal Party Committee and Organization Department.
Areas of Research of Expertise
Computational intelligence,
System Modeling and Optimization,
Soft-sensing technology,
Energy efficiency analysis,
Intelligent optimal control,
Artificial intelligence,
Memberships
Vice chairman of Committee on Network Computing Services of the Chinese Association of Automation,
Director of Beijing Automation Society,
Member of the Applied Committee of the Chinese Association of Automation,
Member of the Data-Driven Control, Learning and Optimization Professional Committee of the Chinese Association of Automation,
Member of Youth Work Committee of the Chinese Association for Artificial Intelligence,
Member of Youth Work Committee of Chinese Association of Automation,
Youth Member of the Information Technology Application Professional Committee of the Chemical Industry and Engineering Society of China.
Teaching
Undergraduate Teaching
Database Principles
Database principle course design
Pattern Recognition and Machine Learning
Postgraduate Teaching
Data fusion and intelligent decision making
Emulation technique
Research
Funded Research Projects
The National Natural Science Foundation of China:
Energy Efficiency Intelligent Optimization and Control of Chemical Processes
National Outstanding Young Scientist Fund
Key technologies research about the modeling and optimization of the energy system of complex petrochemical processes
Youth Program of National Natural Science Foundation of China:
Energy efficiency analysis and prediction methods of complex chemical processes based on data envelopment analysis
Others:
Intelligent manufacturing digital production line simulation system
Big data analysis and model algorithm library research and development project
Main Achievements & Awards
He was granted 13 patents and applied for more than 10 patents.
He was declared the National Outstanding Young Scientist Fund Project.
Publications
Yongming Han, Yue Wang, Yuan Cao, Zhiqiang Geng*, Qunxiong Zhu*. A Novel Wrapped Feature Selection Framework for Developing Power System Intrusion Detection Based on Machine Learning MethodsIEEE Transactions on Systems, Man, and Cybernetics: Systems. DOI: 10.1109/TSMC.2023.3292110
Yongming Han, Qi Wang, Ning Ding, Zhiqiang Geng*. Short-time wavelet entropy integrating improved LSTM for fault diagnosis of modular multilevel converter. IEEE Transactions on Cybernetics. 2022，52（8）：7504-7512
Bo Ma, Weidong Cai, Yongming Han*，Gongye Yu. A Novel Probability Confidence CNN Model and Its Application in Mechanical Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-11, 2021, Art no. 3517111,
Hao Wu, Yongming Han*, Qunxiong Zhu, Zhiqiang Geng*. Novel Feature-Disentangled Autoencoder integrating Residual Network for Industrial Soft Sensor. IEEE Transactions on Industrial Informatics, DOI (identifier) 10.1109/TII.2023.3240923
Yongming Han, Zilan Du, Zhiqiang Geng*, Jinzhen Fan, Youqing Wang*. Novel long short-term memory neural network considering virtual data generation for production prediction and energy structure optimization of ethylene production processes. Chemical Engineering Science 267 (2023) 118372
Zhiqiang Geng, Chunjing Shi, Yongming Han*. Intelligent Small Sample Defect Detection of Water Walls in Power Plants Using Novel Deep Learning Integrating Deep Convolutional GAN," IEEE Transactions on Industrial Informatics, DOI (identifier) 10.1109/TII.2022.3159817.
Yongming Han, Jingze Li, Xiaoyi Lou, Chenyu Fan, Zhiqiang Geng*. Energy saving of buildings for reducing carbon dioxide emissions using novel dendrite net integrated adaptive mean square gradient. Applied Energy, 309 (2022) 118409
Zhiqiang Geng, Zhiwei Chen, Qingchao Meng, Yongming Han*. Novel Transformer based on Gated Convolutional Neural Network for Dynamic Soft Sensor Modeling of Industrial Processes. IEEE Transactions on Industrial Informatics, 2022, 18(3): 1521-1529
Yongming Han, Ning Ding, Zhiqiang Geng*, Zun Wang, Chong Chu. An optimized long short-term memory network based fault diagnosis model for chemical processes. Journal of Process Control 92 (2020) 161–168.(SCI)