I’m Shouke Wei, PhD

Senior Data Scientist

Professor and Scientist in computer modelling, data analysis, machine learning, computer vision, and real time monitoring and early warning systems.


About Me

Nearly 20 years of research experience, over 10 years of teaching experience and 10 years of entrepreneur and management experience in computer modelling and simulation, big data analysis, machine learning algorithms

Ph.D. in Environment and Resource Management; Postdoctoral scientist, and Ph.D. supervisor in Environmental System Modelling; Research associate and Visiting scientist in Forest Hydrological Ecosystem Modelling; Industrial Professor, Adjunct Professor and Postgraduate supervisor in Deep reinforcement learning and Computer vision; Senior Research on R&D of real time monitoring and early warning system platform for water protection, human safety and health

Participated in or holding 19 international research projects; Participated as an invited key speaker in 14 scientific conferences and workshops; Having 27 software copyrights, 5 patents, over 40 publications, and over 200 tutorial blog articles.

My Skills

Computer modelling, data analysis, machine learning, computer vision, real time monitoring and early warning systems


Main Education

Have strong international and interdisciplinary education background in China, Germany and Switzerland


Summar School Certificate

Jun 2011
Swiss Federal Institute of Aquatic Science and Technology, Switzerland

Environmental and Resource Management with study focus on Computer modelling.


Doctor of Philosophy (PhD)

Oct 2004-Dec 2008
Brandenburg University of Technology, Germany

Environmental and Resource Management with study focus on Computer modelling.


Master of Arts (MA)

Oct 2001-Apr 2004
Brandenburg University of Technology, Germany

World Heritage Studies with study focus on heritage management and economic. 


Bachlor of Arts (BA)

Sep 1995-Jun 1999
Yantai University, China

Economic and Trade English (2 years), and English Language and Literature (2 years).

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Years of Experience
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Projects Done
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Happy Clients

Working experience

Around 20 years of research experience, over 10 years of teaching experience and 10 years of entrepreneur and management experience in the field of computer modelling, data analysis, machine learning, etc. with a strong international working background in China, Germany, Switzerland, and Canada.

Sep, 2022-present
Sep, 2022-present

Founder & Senior Instructor

Deepsim Academy, Canada

E-learning platform on Python, Data analysis, Machine Learning, Signal processing, Computer vision, etc.

Jan 2022-present
Jan 2022-present

Founder, CEO & Chief Scientist

Deepsim Intelligent Technology Inc., Canada

Research in machine learning algorithms, data analysis and forecasting methods, image analysis, human behavior recognition to smart real-time monitoring and early warning system platforms.

Main Courses

I offer lectures, tutorials, and courses on Python, Data analysis and Visualization, Wavelet transforms, Modelling and Simulation in different universities, institutes, and training centers as well as E-learning platforms in Germany, Switzerland, Canada, and China. There are 2,567 students from 117 countries in one year on Udemy.

Selected Projects

Participated in or holding 15 international research projects, including Water monitoring and earlier warning platform, River and lake health estimation system, AI-based human action recognition system, Plant disease detection system, Multiple values framework of forestry, E-flow allocations, Game theory applied to solve river conflicts, etc. More detailed information can be found in CV.

Selected Publications

Have over 40 scientific papers (and over 100 technical blog posts have been published on Medium and on Deepsim Blog. Published papers have been cited 700 time during recent 7 years according to statistics of Based on Google Scholar, and published post obtained over 7400 reviews per month.

Journal Papers:

  1. Wei, S., Zhao, J., Li, J., Yuan, M. Seq2seq model for human action recognition based on skeleton and two-layer bidirectional LSTM. Journal of Ambient Intelligence and Smart Environments, Pre-press, no. Pre-press, pp. 1-17. DOI:10.3233/AIS-220125 
  2. Yuan, M., Wei, S. Sun, M., Zhao, J. 2022. Wavelet Decomposition and Seq2Seq Hybrid Models for Water Quality Prediction. Water Resources,49(4):743-752.
  3. Yuan, M., Wei, S. Sun, M., Zhao, J. 2022. Seq2Seq Water Quality Prediction Model Based on Wavelet Denoising and LSTM. Computer Systems & Applications, 31(6):38-47.(in Chinese)
  4. Yuan, M., Wei, S., Zhao, J., Sun, M. 2021. A Sytemactic Survey on Human Behavior Recognition Methods. SN Computer Science,3, Article number: 6 (2022).
  5. Yi,X., Wei S., Shi, Y., Fu, C., Xing, L.., Yan, J., Zhao, J. 2021. Hydrological Series Prediction Model Based on Wavelet Nonlinear Autoregressive Network. Computer Technology and Development, 31(03):70-77. (in Chinese). doi:10. 3969 / j. issn. 1673-629X. 2021. 03. 012.
  6. Zhao,J., Wei S., Wen, X., Qiu, X.. 2020. Analysis and prediction of big stream data in real-time water quality monitoring system. Journal of Ambient Intelligence and Smart Environments, 12: 393-
  7. Wei, S,, Zhao, J., Tong, X. 2020. Impacts of socio-economic status and environmental attitudes of locals on E-flow allocation in Weihe River Basin, China. HydroResearch, 3: 158-165.
  8. Sun M, Wei S, Wang Y, Zhao J, Yuan M. Prediction Model of Water Quality Based on Wavelet Decomposition and LSTM. Computer Systems and Applications, 2020, 29(12): 55-63 (inChinese). 
  9. Wei, S., Lei, A.L., Gnauck, A. 2008. Solving water conflicts using game theoretic models. Yangtze River(in Chinese), 39(23): 8-13.
  10. Wei, S., Gnuack, A., Lei, A.L. 2009.Simulation analysis of domestic water demand and its future uncertainty in water scarce area. Frontiers of Earth Science in China, 3(3):349-360. DOI:1007/s11707-009-0047-z.
  11. Wei, S., Lei, A.L., Gnauck, A. 2009. Application of game theoretic models to solve the benefit conflicts in water resources management. Journal of Hydraulic Engineering, 40(8): 910-918.
  12. Wei, S., Lei, A.L., Islam, S.N. 2010. Modelling and simulation of industrial water demand in Beijing. Frontiers of Environmental Science & Engineering in China, 4(1): 91-109. DOI: 10.1007/s11783-010-0007-6.
  13. Wei, S., Yang, H. 2010. Simulation of domestic conflicts concerning water allocation and pollution reduction in interbasin water division of China using game theory based approaches. Journal of Beijing Normal University(Natural Science), 46(3):254-267.
  14. Wei, S., Yang, H., Abbaspour, K., Mousavia, J., Gnauck, A.  2010. Game theory based models to analyze water conflicts in the Middle Route of the South-to-North Water Transfer Project in China. Water Research, 44: 2499-DOI: 10.1016/j.watres.2010.01.021.
  15. Islam, S.N., Singh, S., Shaheed, H., Wei, S. 2010.  Settlement relocations in the char-lands of Padma Riverbasin in Ganges delta, Bangladesh. Frontiers of Earth Science in China, 4(4): 393–402. DOI:1007/s11707-010-0122-5.
  16. Wei, S., Song, J.X., Khan, N. 2012. Simulating and predicting river discharge time series using wavelet-neural network hybrid modeling approach. Hydrological Processes, 26(2): 281-296. DOI: 1002/hyp.8227
  17. Wei, S., Yang, H., Song, J., Abbaspour, K., Xu, Z. 2012. System dynamic simulation model for assessing socio-economic impacts of different levels of environmental flow in the Weihe River Basin, China. European Journal of Operational Research, 221 (1): 248-262. DOI:1016/j.ejor.2012.03.014.
  18. Wei, S., Song, J.X. 2012. Improving prediction accuracy of river discharge time series using a Wavelet-NAR network. Journal of Hydroinformatics, 14(4): 974-991.DOI: 10.2166/hydro.2012.143.
  19. Wei, S., Yang, H., Song, J., Abbaspour, K., Xu, Z. 2012. Wavelet-neural network model for estimation and prediction of monthly flow of the Weihe River in China. Hydrological Science Journal, 58(2): 374-389.DOI: 1080/02626667.2012.754102
  20. Wei, S. 2011. Estimating water deficit and uncertainties in water scarce area usinga conceptual and econometric regression hybrid modelling approach. Water Science and Engineering, 5(4): 450–463. DOI: 10.3882/j.issn.1674-2370.2012.04.009.
  21. Zuo, D.,  Xu, Z., Peng, D., Cheng, L., Wei, S., Abbaspour, K.C., Yang, H. 2014. Modeling spatiotemporal patterns of water resources availability in the Wei River Basin in China. Hydrological Processes, Article first published online: 22 SEP 2014.DOI: 10.1002/hyp.10307.



  1. Wei, S., 2005. Managing World Heritage Sites in China from an Economic Perspective. Disserttion.de-Verlag, Berlin.
  2. Wei, S. 2015. An Application of Game Theoretic Models to Water Resources Management. Emodlogic Technology Inc., Vancouver.


Proceeding Papers or Book Chapters

  1. Wei, S., 2011. Energy challenges, problems and related Strategies in China. In: Schmidt, M., Onyango, V., Palekhov, D. (Eds.), Implementing Environmental and Resource Management, Springer-Verlag, Berlin Heidelberg, pp.105-1
  2. Wei, S., Gnauck, A. 2007. Water supply and water demand of Beijing – A game theoretic Approach for modeling. In: Gómez, J.M., Sonnenschein, M., Muller. M., Welsch, H., Rautenstrauch, C. (Eds.), Information Technologies in Environmental Engineering. Springer Verlag, Berlin Heidelberg, pp.525-536. DOI: 10.1007/978-3-540-71335-7_51.
  3. Wei, S., Gnauck, A. 2007. Game theoretic approaches to model water conflicts on a river basin scale. In: Gnauck, A. (Ed.), Systemtheorie und Modellierung von Ökosystemen. Shaker Verlag, Aachen, pp.22-40.
  4. Wei, S., 2007. A survey on the situation of water resource and water management in China. In: Gnauck, A. (Ed.), Systemtheorie und Modellierung von Ökosystemen. Shaker Verlag, Aachen, pp.171-186.
  5. Wei, S., Gnauck, A. 2007. Simulating water conflicts using game theoretical models for water resources management. In: Tiezzi, E., Marques, J.C., Brebbia, C.A., Jørgensen, S.E. (Eds.). Ecosystems and Sustainable Development VI. WIT Press, Southampton, Boston, pp. 3-12. DOI:10.2495/ECO070011.
  6. Wei, S., Gnauck, A., 2007. Game theory based water quality models for reservoir management. In: Hryniewicz, O., Studziński, J., Maciej Romaniuk, M. (Eds.), Proceedings of EnviroInfo Warsaw 2007: Environmental Informatics and Systems Research, Volume 1: Plenary and session papers, Warsaw, Poland.  Shaker Verlag, Aachen, pp.363-370.
  7. Wei, S., Gnauck, A. 2007. Analyzing water quality management using game theoretical models. In: the  Proceedings of International Scientific–Practical Conference: Logistics and Economics of Resource- and Energy-Saving In Industries (ISPC LEREI-2-2007), Volume 1, on 12th-15th September at Saratov State Technical  Unversity, Saratov, Russia, pp.248-252.
  8. Wei, S., Gnauck, A. 2008. Water conflicts and their solutions by means of game theory. In: Gnauck, A. (Ed.), Systemtheorie und Modellierung von Ökosystemen. Shaker Verlag, Aachen, pp.34-49.
  9. Wei, S., Islam, S.N. 2009. Analysis of China’s Energy challenges and problems. In: Gnauck, A., Luther, B. (Ed.), ASIM – 20. Symposium Simulation Techniques. Shaker Verlag, Aachen, CD pp 475-483.
  10. Wei, S., Islam, S.N., Gnauck, A. 2009. Environmental and energy problem in China. In: A. Gnauck (ed.), Systemtheorie und Modellierung von Ökosystemen. Sharker Verlag, Aachen. pp. 202-211.
  11. Wei, S., Yang, H. 2010. Simulating water diversion and pollution reduction conflicts in river basin using game theoretic models. In: Proceedings of the 4th International Yellow River Forum on Ecological Civilization and River Ethics, Vol II. Zhenzhou, China. pp. 287-365.
  12. Wei, S. 2013. Introduction to Basic Model Techniques. A Theory and Practice Guide: Training Workshop on Strategies and Approaches for Sustainable Forest Management in a Changing Climate. Kunming, Yunnan, China, 1 -12 July, 2013. pp. 38-50.


Book Preparing :

  1. Wei, S. 2022. Learning Python theEasy and Fast Way (processing)
  2. Wei, S. 2022. PracticalJupyter Notebook from Beginner to Experts (processing)
  3. Wei, S. 2022.Data Analysis and Modelling Essential with Python (processing).
  4. Wei, S. 2022.Wavelets Transform for Data Science and Machine Learning with Python (processing).

Thesis :

  1. Wei, S. 2004. Managing World Heritage Sites in China from an Economic Perspective. A Master’sThesis at the Faculty of Architecture, Civil engineering and Urban planning, the Brandenburg University of Technologyin Cottbus, Germany.
  2. Wei, S. 2008. On the Use of Game Theoretic Models for Water Resources Management. A Ph.D. Thesis at Faculty of Environmental Sciences & Process Engineering, the Brandenburg University of Technology in Cottbus, Germany.

Get In Touch

Contact me if you have any question or would like to create collaboration with me.

+1 (236) 458 1518
32633 Simon Ave, Abbotsford, BC V2T 0G9, Canada

Contact Form:

Send me a message using the following contact form.