by Jason Han

About me

Name: Han Shuai (Jason Han)

ResearchGate：https://www.researchgate.net/profile/Shuai_Han8

Google Scholar：https://scholar.google.com/citations?user=v5DO3PcAAAAJ&hl=zh-CN

E-mail: drjasonhan@163.com

Education and work experience

  • 09/2015-06/2021, Master-doctor combined program of Hydraulic Engineering, Tianjin University

  • 09/2011-06/2015, Bachelor of Hydraulic and Hydropower Engineering, Northwest Agriculture and Forestry University

  • 10/2017-08/2018, Research assistant, Department of Building and Real Estate, Hong Kong Polytechnic University

Research interests

​ Machine learning, Data analysis, Software development, Modelling, Geology, GIS, Rock engineering

Academic part time job

​ Reviewer of Scientific Reports (a journal published by Nature)

Papers

  1. Shuai Han, Gang Wang, Mingchao Li*. A trace map comparison algorithm for the discrete fracture network models of rock masses. Computers & Geosciences, 2018, 115, 31-41. (SCI)

  2. Shuai Han, Mingchao Li*, Gang Wang. Copula based simulating and analyzing methods of rock mass fractures. Computers and Geotechnics, 2020, 127, 103779. (SCI)

  3. Shuai Han, Heng Li, Mingchao Li*, Xiaochun Luo. Measuring rock surface strength based on spectrograms with deep convolutional networks. Computers & Geosciences, 2019, 133, 104312. (SCI)

  4. Shuai Han, Mingchao Li*, Qi Zhang, Heng Li. A mathematical model based on Bayesian theory and Gaussian copula for the discrimination of gabbroic rocks from three tectonic settings. The Journal of Geology, 2019, 127(6), 611-626. (SCI)

  5. Shuai Han, Mingchao Li*, Gang Wang. A polygonal DFN modeling approach based on the circle-controlled method and the iterative inversion algorithm. Chinese Journal of Rock Mechanics and Engineerin, 2019, 38(8), 1635-1646. (EI)

  6. Shuai Han, Mingchao Li*, Qiubing Ren, Chengzhao Liu. Intelligent determination and data mining for tectonic settings of basalts based on big data methods. Acta Petrologica Sinica, 2018, 34(1), 3207-3216. (SCI)*

  7. Shuai Han, Mingchao Li*, Qi Zhang, Liangguang Song. An automated method to generate and evaluate geochemical tectonic discrimination diagrams based on topological theory. Minerals, 2020, 10(1), 62. (SCI)*

  8. Shuai Han, Mingchao Li*, Qiubing Ren. Discriminating among tectonic settings of spinel based on multiple machine learning algorithms. Big Earth Data, 2019, 3(1), 67-82. *

  9. Shuai Han, Heng Li, Mingchao Li*, Timothy Rose. A deep learning based method for the non-destructive measuring of rock strength through hammering sound. Applied Sciences, 2019, 9(17), 3484. (SCI)*

  10. Shuai Han, Mingchao Li*, Heng Li, Huijing Tian, Liang Qin, Jinfeng Li. Real-time prediction on the slurry concentration of cutter suction dredgers using an ensemble learning algorithm. In: The 8th International Conference on Construction Engineering and Project Management. Hong Kong SAR, 2020, pp. 463-481. *

  11. Wenchao Zhao, Shuai Han*, Mingchao Li, Mingze Li. Simulating multi-dimensional fracture parameters of slope rock mass using ensemble generative adversarial networks. Journal of Hydroelectric Engineering, 2021, 40: 1-11.

  12. Mingchao Li*, Shuai Han, Jonathan Shi. An enhanced ISODATA algorithm for recognizing multiple electric appliances from the aggregated power consumption dataset. Energy and Buildings, 2017, 140, 305-316. (SCI)

  13. Mingchao Li*, Shuai Han, Sibao Zhou, Ye Zhang. An improved computing method for 3D mechanical connectivity rates based on a polyhedral simulation model of discrete fracture network in rock masses. Rock Mechanics and Rock Engineering, 2018, 51(6), 1789-1800. (SCI)

  14. Chengzhao Liu, Shuai Han, Mingchao Li*, Yueqin Zhu. Prediction and analysis of gold deposit sizes based on coupled PCA-SVM algorithm. Earth Science Frontiers, 2019, 26(4), 138-145. (EI)

  15. Ye Zhang, Mingchao Li*, Shuai Han. Automatic identification and classifcation in lithology based on deep learning in rock images. Acta Petrologica Sinica, 2018, 34(2), 333-342. (SCI)

  16. Mingchao Li*, Rui Kong, Shuai Han, Guiping Tian, Liang Qin. Novel method of construction-efficiency evaluation of cutter suction dredger based on real-time monitoring data. Journal of Waterway. Port, Coastal and Ocean Engineering, 2018, 144(6), 05018007. (SCI)

  17. Qiubing Ren, Mingchao Li*, Shuai Han. Discrimination and comparison experiments of basalt tectonic setting based on improved genetic algorithm-optimized neural network. Earth Science Frontiers, 2019, 26(4), 117-124. (EI)

  18. Ye Zhang, Mingchao Li*, Shuai Han, Qiubing Ren, Janathon Shi. Intelligent identification for rock-mineral microscopic images using ensemble machine learning algorithms. Sensors, 2019, 19(18), 3914. (SCI)

  19. Qiubing Ren, Mingchao Li*, Shuai Han, Ye Zhang, Qi Zhang, Jonathon Shi. Basalt tectonic discrimination using combined machine learning approach. Minerals, 2019, 9(6), 376. (SCI)

  20. Shengli Du, Mingchao Li*, Shuai Han, Jonathon Shi, Heng Li. Multi-pattern data mining and recognition of primary electric appliances from single non-intrusive load monitoring data. Energies, 2019, 12(6), 992. (SCI)

  21. Qiubing Ren, Mingchao Li*, Shuai Han. Tectonic discrimination of olivine in basalt using data mining techniques based on major elements: a comparative study from multiple perspectives. Big Earth Data, 2019, 3(1), 8-25.

  22. Ye Zhang, Mingchao Li*, Shuai Han, Qiubing Ren, Yueqin Zhu. Machine learning methods application in gold mineralization prediction based on gold unit data, Geotectonica et Metallogenia, 2020, 44(2), 183-191. (EI)

  23. Mingchao Li*, Bowen Shi, Shuai Han, Gang Wang. New index and analysis method for multi-scale rock mass integrity assessment based on P-wave velocity. Chinese Journal of Rock Mechanics and Engineering, 2020, 39(10), 2060-2068. (EI)

  24. Jiawen Zhang, Mingchao Li*, Shuai Han, Estimation of seismic wave incident angle using vibration response data and stacking ensemble algorithm. Computers and Geotechniques, 2021, 137(5): 104255. (SCI)

  25. Mingchao Li*, Rui Kong, Liang Qin, Shuai Han, Guiping Tian. Smoothness analysis of dredging operation of cutter suction dredger based on construction cycles. Hydro-Science and Engineering, 2018, 6, 98-104.

  26. Ye Zhang, Gang Wang, Mingchao Li*, Shuai Han. Automated classification analysis of geological structures based on images data and deep learning model. Applied Sciences, 2018, 8(12), 2493. (SCI)

  27. Qiubing Ren, Gang Wang, Mingchao Li*, Shuai Han. Prediction of rock compressive strength using machine learning algorithms based on spectrum analysis of geological hammer. Geotechnical and Geological Engineering, 2019, 37(1), 475-489. (EI)

  28. Shuo Bai, Mingchao Li*, Rui Kong, Shuai Han, Heng Li, Liang Qin. Data mining approach to construction productivity prediction for cutter suction dredgers. Automation in Construction, 2019, 105, 102833. (SCI)

  29. Qi Zhang*, Shoutao Jiao, Mingchao Li, Yueqin Zhu, Shuai Han, Xuelong Liu, Weijun Jin, Wanfeng Chen, Xinyu Liu. Applicability of quantum entanglement technology in geology. Earth Science Frontiers, 2019, 26(4), 159-169. (EI)

  30. Chengzhao Liu, Mingchao Li*, Ye Zhang, Shuai Han, Yueqin Zhu. An enhanced rock mineral recognition method integrating a deep learning model and clustering algorithm. Minerals, 2019, 9(9), 516.

  31. Mingchao Li*, Dan Tian, Yang Shen, Jonathan Shi, Shuai Han. An intelligent extraction and analysis approach of professional technical words for hydraulic engineering by improved Word2vec technology with Attention mechanism. Shuili Xuebao, 2020, 51(7), 816-826. (EI)

  32. Qiubing Ren, Mingchao Li*, Yuqiong, Li, Shuai Han, Ye Zhang, Qi Zhang. An intelligent method for geochemical discrimination of tectonic settings of basalt based on olivine composition: GWO-SVM method and its verification. Geotectonica et Metallogenia, 2020, 44(02), 212-221. (EI)

  33. Qi Zhang*, Mingchao Li, Wanfeng Chen, Weijun Jin, Shoutao Jiao, Xinyu Liu, Shuai Han. The Rise, Fall and Reborn of the Petrotectonic Theory, Geotectonica et Metallogenia, 2020, 44(2), 289-296. (EI)

  34. Dan Tian, Mingchao Li*, Jonathan Shi, Yang Shen, Shuai Han. On-site text classification and knowledge mining for large-scale projects construction by integrated intelligent approach. Advanced Engineering Informatics, 2021, 49, 101355. (SCI)

Patents

Granted

  1. Mingchao Li, Shuai Han. A trace map similarity discrimination method for the selection of DFN models, CN107507168B. 2020-08-11.
  2. Mingchao Li, Shuai Han, Qiubing Ren. A deep learning method for rock surface strength measurement based on acoustic spectrum, CN109163997B. 2020-12-11.
  3. Mingchao Li, Ye Zhang, Shuai Han. A method for stability analysis of underground caverns based on random blocks, CN106980716B. 2017-07-25.
  4. Mingchao Li, Ye Zhang, Shuai Han. A deep learning method for automatic identification and classification of rock lithology, CN107633255B. 2021-04-30
  5. Shishu Zhang, Mingchao Li, Gang Wang, Shuai Han, Weiming Shi, Huabing Tian, Ziyue Wang, Shiyong Liu. A rapid evaluation method of rock block stability based on 3D real scene and stereographic projection, CN106846476B. 2020-07-07.
  6. Shishu Zhang, Mingchao Li, Gang Wang, Ziyue Wang, Weiming Shi, Ye Zhang, Huabing Tian, Shuai Han. 3D real scene field mapping system for geology engineering of hydropower and water conservancy, CN106846478B. 2021-03-06.

Published

  1. Mingchao Li, Shuai Han, Shuo Bai, Rui Kong. A fast modelling method for chamfers with arbitrary bottom shapes: Tianjin, CN110826128A. 2020-02-21.
  2. Mingchao Li, Shuai Han, Shuo Bai, Rui Kong. An intelligent prediction method for the productivity of cutter suction dredger: Tianjin, CN110826790A. 2020-02-21.
  3. Mingchao Li, Qiubing Ren, Shuai Han, Ye Zhang. Intelligent geological hammer: Tianjin, CN109507288A. 2019-03-22.

Copyrights of computer software

  1. Mingchao Li, Shuai Han, Ziyue Wang, Ye Zhang. Digital survey and real-time analysis system for hydraulic engineering geology. National Copyright Administration of China, 2018SR920254, 2018.
  2. Mingchao Li, Shuai Han, Rui Kong, Shuo Bai. BIM Design and Collaborative Analysis System for Dredging Engineering. National Copyright Administration of China, 2019SR1018116, 2019.

Research projects

  1. Simulation Modelling and Analysis in Hydraulic Engineering (Principal participant), supported by the National Science Fund for Excellent Young Scholars (51622904).
  2. Field Digital Mapping System for Engineering Geology - 3D Real Scene Geological Mapping System (Principal participant), supported by Chengdu Engineering Corporation Limited (CD2E160396)
  3. Theory and Analysis Method of Key Rock Block With Complex Curved Surfaces in Large-Scale Hydraulic And Hydropower Engineering (Principal participant), supported by The National Natural Science Foundation of China (51379006)
  4. Research on Deep Mining and Safety Analysis of Big Data of Hydraulic Engineering Geology (Principal participant), supported by the Tianjin Natural Science Foundation for Distinguished Young Scientists of China (17JCJQJC44000).
  5. Development of BIM Collaborative System for Dredging Engineering in Survey and Design Stage (Principal participant), supported by CCCC Tianjin Dredging Corporation Limited.
  6. Three-dimensional Digital Mapping System for Hydraulic and Hydroelectric Engineering Geology (Principal participant), supported by Bei Fang Investigation, Design & Research Corporation Limited.

Awards

  • Shishu Zhang, Huabing Tian, Gang Wang, Mingchao Li, Shiyong Liu, Weiming Shi, Yun Ji, Changwu Cui, Yong Zhang, Zhiwei Zhang, Xiaoying Huang, Ye Zhang, Shuai Han, Hao Wang, Huawei Ji. Research and Development of the Data Center-based Integrated System for Geological Survey and Analysis of Hydropower Engineering. First Prize of Science and Technology Progress of Chinese Society of Rock Mechanics and Engineering, 2017. (Ministerial and Provincial-Level Awards)

  • 11/2015-6/2021, Academic Scholarship of Tianjin University in the continuous six years

  • 11/2015-6/2021, National Grants of Tianjin University in the continuous six years

  • 2017, National Scholarship for Postgraduate Student

  • 2017, Outstanding Individual of Science and Technology Innovation of Tianjin University

  • 2017, Outstanding Student Leaders of Tianjin University

  • 2018, National Scholarship for Doctoral Candidate

  • 2019, Merit Student of Tianjin University

  • 2020, Outstanding Individual of Science and Technology Innovation of Tianjin University

  • 2020, Chuxin Scholarship of Tianjin University

  • 2021, The thesis was rated as Excellent Doctoral Thesis of Tianjin University

Languages

  • Chinese (Native language)

  • English: CET-6

Skills

  • Programming: Python, C#, Matlab

  • Machine learning: Pytorch, Tensorflow

  • Modelling: Rhino 3D, VTK

  • GIS: SuperMap, Cesium, Skyline

This page and its contents are copyright © 2021, Jason Han.