Dr. Yongming Han

Office Address

Kejilou 607#

Mailing Address

Mail Box 4, No. 15 Beisanhuan East Road, Chaoyang District, Beijing 100029, P.R. China

Email

hanym@mail.buct.edu.cn

Phone


Research Interests

(1)Energy efficiency analysis and prediction
(2)Energy efficiency assessment and system optimization of complex chemical process
(3)Data fusion and Fuzzy hierarchy fusion
(4)Software design and development

Working/Education Experience

2016.7- Associate Professor, College of Information Science & Technology, Beijing University of Chemical Technology. Beijing, China.
2014.6-2016.7 Lecturer, postdoctoral, College of Information Science & Technology, Beijing University of Chemical Technology. Beijing, China.
2013.8-2014.3 Joint scholar of University of California, Davis, CA, USA.
2009.9-2014.6 Doctor of Control Theory and Control Engineering, Beijing University of Chemical Technology, Beijing, China.
2005.9-2009.7 Bachelor of Computer science and technology, Beijing University of Chemical Technology, Beijing, China.
2007.9-2009.6 Minor in International economy and trade, Beijing University of Chemical Technology Beijing, China.

Teaching Courses

1. Operating System Principles
2. Database Concepts
3. C language programming
4. Basis of Computer Engineering

Projects

(1)Participating the key research project supported by National Natural Science Foundation——《Big data and knowledge based energy efficiency assessment and system optimization in complex chemical process》
(2)Direct National Natural Science Foundation——《Energy efficiency analysis and prediction methods of complex chemical processes based on data envelopment analysis》

Publications

[1] ZhiqiangGeng, Xuan Hu, Yongming Han*,Yanhua Zhong. A novel leakage detection method based on the sensitivity matrix of the pipe flow: Case study of water distribution systems. Journal of Water Resources Planning and Management.2018 ( Accepted, SCI)
[2] ZhiqiangGeng, Zun Wang, Haixia Hu, Yongming Han*, Xiaoyong Lin*. A Fault Detection Method based on Horizontal Visibility Graph-Integrated Complex Networks: Application to Complex Chemical Processes. Canadian Journal of Chemical Engineering.2018 (Accepted, SCI)
[3] ZhiqiangGeng,HongdaLi,QunxiongZhu, YongmingHan*. Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes. Energy, 2018, 160: 898-909. (TOP/SCI)
[4] Zhiqiang Geng, Ju Bai, Deyang Jiang, Yongming Han*. Energy structure analysis and energy saving of complex chemical industries:A novel fuzzy interpretative structural model. Applied Thermal Engineering 142 (2018) 433–443. (TOP/SCI)
[5] Yongming Han, Qing Zeng, Zhiqiang Geng*, Qunxiong Zhu*. Energy management and optimization modeling based on a novel fuzzy extreme learning machine: Case study of complex petrochemical industries. Energy Conversion and Management, 2018, 145, 41–52. (TOP/SCI)
[6] Yongming Han, Chang Long, Zhiqiang Geng*, Keyu Zhang*. Carbon emission analysis and evaluation of industrial departments in China: An improved environmental DEA cross model based on information entropy[J]. Journal of Environmental Management, 2018, 205: 298-307. (SCI)
[7] Zhiqiang Geng, Yanan Li, Yongming Han*, Qunxiong Zhu*. A Novel Self-Organizing Cosine Similarity Learning Network: An Application to Production Prediction of Petrochemical Systems. Energy, 2018, 142: 400-410. (TOP/SCI)
[8] Zhiqiang Geng , Zhongkun Li , Yongming Han*. A new deep belief network based on RBM with glial chains. Information Sciences 463–464 (2018) 294–306 . (TOP/SCI)
[9] Zhiqiang Geng, Jungen Dong, Yongming Han*, Qunxiong Zhu*. Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes. Applied Energy, 2017, 205, 465-476. (TOP/SCI)
[10] Zhiqiang Geng, Huachao Gao, Yanqing Wang, Yongming Han*, Qunxiong Zhu*. Energy saving analysis and management modeling based on index decomposition analysis integrated energy saving potential method: Application to complex chemical processes. Energy Conversion and Management, 2017, 145, 41–52. (TOP/SCI)
[11] Yunfei Cui, Zhiqiang Geng*, Qunxiong Zhu. Yongming Han*. Review: Multi-objective optimization methods and application in energy saving. Energy 2017, 125, 681-704 ( TOP/SCI, 高被引)
[12] Zhiqiang Geng, Xiao Yang, Yongming Han*, Qunxiong Zhu*. Energy optimization and analysis modeling based on extreme learning machine integrated index decomposition analysis: Application to complex chemical processes.?Energy?2017,120, 67-78 (TOP/SCI)
[13] Zhiqiang Geng, Lin Qin, Yongming Han*, Qunxiong Zhu*. Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP.?Energy?2017,122, 350-362 (TOP/SCI)
[14] Yongming Han, Qunxiong Zhu, Zhiqiang Geng*, Yuan Xu*. Energy and carbon emissions analysis and prediction of complex petrochemical systems based on an improved extreme learning machine integrated interpretative structural model. Applied Thermal Engineering. 2017, 115, 280-291. (TOP/SCI)
[15] Yongming Han, Zhiqiang Geng*, Yixin Qu, Qunxiong Zhu*. Linear optimization fusion model based on fuzzy C-means: Case study of energy efficiency evaluation in ethylene product. Journal of Analytical and Applied Pyrolysis 2017,125, 347–355 (TOP/SCI)
[16] Yaxun Chen, Yongming Han*, Qunxiong Zhu*. Energy and environmental efficiency evaluation based on a novel data envelopment analysis: An application in petrochemical industries. Applied Thermal Engineering. 2017, 119, 156-164. (TOP/SCI)
[17] ZhiQiang?Geng, ShanShan Zhao, GuangCan Tao, Yongming Han*. Early warning modeling and analysis based on analytic hierarchy process integrated extreme learning machine (AHP-ELM): Application to food safety. Food Control 2017, 78, 33-42.(SCI)
[18] Zhiqiang Geng, Jungen Dong, Jie Chen, Yongming Han*. A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes. A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes. Engineering Applications of Artificial Intelligence. 2017, 62, 38-50.(SCI)
[19] Zhiqiang Geng, Jie Chen, Yongming Han*. Energy Efficiency Prediction Based on PCA-FRBF Model: A Case Study of Ethylene Industries. IEEE Transactions on Systems, Man, and Cybernetics: Systems.?2017, 47(8),1763-1773. (SCI)
[20] Yongming Han, Zhiqiang Geng*, Qunxiong Zhu, Zun Wang, Yunfei Cui. Energy consumption analysis and evaluation?of petrochemical industries using?an?improved fuzzy analytic hierarchy?process approach.?Journal of Intelligent & Fuzzy Systems. 2017,32(6),4183-4195. (SCI)
[21] Zhiqiang Geng, Zun Wang, Chenglong Peng, Yongming Han*. A New Fuzzy Process Capability Estimation Method Based on Kernel Function and FAHP. IEEE Transactions on Engineering Management, 2016, 63(2): 177-188. (SCI)
[22] Yongming Han*, Zhiqiang Geng*, Zun Wang, Peng Mu. Performance analysis and optimal temperature selection of ethylene cracking furnaces: A data envelopment analysis cross-model integrated analytic hierarchy process. Journal of Analytical and Applied Pyrolysis 2016,122, 35–44 (TOP/SCI)
[23] Zhiqiang Geng, Zun Wang, Qunxiong Zhu, Yongming Han*. Multi-objective operation optimization of ethylene cracking furnace based on AMOPSO algorithm. Chemical Engineering Science. 2016,153, 21–33(TOP/SCI)
[24] Yongming Han, Zhiqiang Geng *, Qunxiong, Zhu*. Energy optimization and prediction of complex petrochemical industries using an improved artificial neural network approach integrating data envelopment analysis. Energy Conversion and Management 2016,124, 73–83 (TOP/SCI)
[25] Yongming Han, Zhiqiang Geng*, Qunxiong Zhu*, Yixin Qu. Energy efficiency analysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industry. Energy. 2015, 83, 685-695.(TOP/SCI)
[26] Yongming Han, Zhiqiang Geng*, Xiangbai Gu*, Zun Wang. Performance Analysis of China Ethylene Plants by Measuring Malmquist Production Efficiency Based on an Improved Data Envelopment Analysis Cross-Model. Industrial & Engineering Chemistry Research 2015,54, 272-284.(TOP/SCI)
[27] Yongming Han, Zhiqiang Geng*, Xiangbai Gu, Qunxiong Zhu*. Energy Efficiency Analysis based on DEA Integrated ISM: A Case Study for Chinese Ethylene Industries. Engineering Applications of Artificial Intelligence. 2015, 45, 80-89. (SCI)
[28] Yongming Han, Zhiqiang Geng*, Qunxiong Zhu, Xiaoyong Lin. Energy consumption hierarchical analysis based on interpretative structural model for ethylene production. Chinese Journal of Chemical Engineering, 2015, 23(12): 2029-2036. (SCI)
[29] Yongming Han, Zhiqiang Geng*. Energy Efficiency?Hierarchy?Evaluation?based?on?Data envelopment analysis and?its?application in?Petrochemical?Process.?Chemical Engineering & Technology, 2014, 37(12), 2085–2095.(SCI)
[30] Yongming Han, Zhiqiang Geng*, Qiyu Liu. Energy Efficiency Evaluation Based on Data Envelopment Analysis Integrated Analytic Hierarchy Process in Ethylene Production. Chinese Journal of Chemical Engineering 2014, 22(12), 1279-1284.(SCI)