Shouke

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Dr. Shouke Wei

I’m Shouke Wei, PhD
Editor-in-Chief
Data Scientist
Professor

A researcher, scientist, and entrepreneur specializing in intelligent IoT systems, robotics, big data analytics, modeling and forecasting, early-warning systems, and edge computing. With academic and industry experience across Europe, North America, and Asia, Dr. Wei is recognized for bridging advanced theory with real-world, production-ready systems.

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About Me

A researcher, scientist, and entrepreneur specializing in wavelet transforms, intelligent IoT systems, robotics, data analytics, modeling and forecasting, early-warning systems, edge computing, and water resource management.

Bridging advanced theory with real-world, production-ready systems.

Dr. Wei earned his Ph.D. in Environmental and Resource Management at Brandenburg University of Technology Cottbus–Senftenberg (Germany), conducted postdoctoral research at the Swiss Federal Institute of Aquatic Science and Technology (Eawag, Switzerland ), and held research positions at the University of British Columbia (Canada). He has held distinguished and adjunct professorships at multiple institutions (China).

He is the founder of Deepsim Intelligence Technology Inc., Deepsim Academy, and Deepsim Press. He currently serves as Chief Scientist and Editor-in-Chief across these institutions.

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In addition, he is Director of the Qilu Artificial Intelligence and Digital Manufacturing Innovation Laboratory, and serves as Director and Postdoctoral Co-Supervisor at the Shandong Postdoctoral Innovation Practice Base at Deepsim Intelligent Technology Co., Ltd., China.

He has participated in or led 19 international research projects and has been invited as a keynote speaker at 15 scientific conferences and workshops. His achievements include 30 software copyrights, 6 patents, and 47 publications, comprising 40 academic papers and 7 books. He has also authored over 500 tutorial blog articles, contributing extensively to knowledge dissemination in artificial intelligence and data science.

Section 1 Bg1

Research & Technical Expertise

Wavelet transforms, Artifical intelligence, Data analysis and modeling, Intelligent robotics, IoT systems warning system, and Edge computing.cing elit.

Wavelet Transforms

Multiscale time–frequency analysis for signal processing, feature extraction, and complex system modeling across scientific and industrial applications.

Artificial Intelligence

Design and deployment of machine learning and deep learning systems for prediction, automation, and intelligent decision-making.

Data Analysis and Modelling

Advanced statistical analysis, predictive modeling, and data-driven insights using modern tools for real-world problem solving.

Intelligent Robotics

Development of AI-powered robotic systems integrating perception, decision-making, and autonomous interaction in dynamic environments.

IoT System

Real-time monitoring and early warning systems using sensor networks and data analytics for risk detection and prevention.

Edge Computing

Efficient on-device computation and AI deployment for low-latency, real-time processing in distributed and resource-constrained environments.

Academic Background

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

Oct 2004-Dec 2008
Brandenburg University of Technology Cottbus–Senftenberg, Germany
Environmental and Resource Management with study focus on Computer modelling.

Doctor of Philosophy (PhD)

Oct 2001-Apr 2004
Brandenburg University of Technology Cottbus–Senftenberg, Germany
World Heritage Studies with study focus on heritage management and economic. 

Master of Arts (MA)

Sep 1995-Jun 1999
Yantai University, China

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

Bachlor of Arts (BA)

Jun 2011
Swiss Federal Institute of Aquatic Science and Technology, Switzerland
Environmental and Resource Management on Computer modelling.

Certificate

Working Process

A structured and research-driven approach that integrates theoretical modeling, data analysis, and real-world system implementation.
From problem formulation to deployment, each stage emphasizes accuracy, scalability, and practical impact across AI,
signal processing, and intelligent systems.

Professional Experience

20+ years in research, 15+ years in teaching, and 15+ years in entrepreneurship and leadership, with international experience across China, Germany, Switzerland, and Canada.

Research & Scientific Leadership

2001-present

Conducted postdoctoral research at the Swiss Federal Institute of Aquatic Science and Technology (Eawag, Switzerland ), held research positions at the University of British Columbia (Canada), hold distinguished and adjunct professorships at multiple institutions (China), and Editor-in-Chief at Deepsim Press (Canada). Leading advanced research in artificial intelligence, signal processing, and data-driven modeling, with a focus on real-world applications and innovation.

Entrepreneurship & Innovation

2012-present

Founder of Deepsim institutions, driving the development of AI technologies, publishing platforms, and applied research solutions. Currently, he is also the Director of the Qilu Artificial Intelligence and Digital Manufacturing Innovation Laboratory, and serves as Director and Postdoctoral Co-Supervisor at the Shandong Postdoctoral Innovation Practice Base at Deepsim Intelligent Technology Co., Ltd., China.

Teaching & Academic Mentorship

2006-present

Over a decade of teaching experience, mentoring students and researchers in data science, machine learning, and computational methods.

Industrial AI & System Development

2017-present​

Design and deployment of intelligent systems for monitoring, prediction, and automation across industrial and digital environments.

International Collaboration & Projects

2001-present​

Extensive experience leading and contributing to international research projects and collaborations across China, Germany, Switzerland, and Canada.

My Portfolio

A researcher and author specializing in computer modeling, data analysis, and wavelet transform applications.
I have over 20 years of experience in research, teaching, and technology entrepreneurship across China, Germany, Switzerland, and Canada.

Key Projects

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Water Quality Monitoring ASV
usv1
Intelligence Surface Vehicle
water quality monitoring
IoT Water Quality Monitoring and Early-Warning Platform
water quality prediction
Water Quality Forecasting System
3d simulation
3D Flooding Simuation System

Featured Courses

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Master Python Programming Essentials
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Practical Jupyter Notebook from Beginner to Expert
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Master Python Data Analysis and Modelling Essentials
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Practical Python Wavelet Transforms (I): Fundamentals
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Practical Python Wavelet Transforms (II): 1D DWT

Featured Books

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wavelet volume iii b cover front

Selected Publications

Have over 40 scientific papers, 7 books, and over 500 technical blog articles (published on Medium and on Deepsim Blog).

Journal Papers:

  • 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 
  • 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.
  • 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)
  • 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).
  • 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.
  • 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-
  • 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.
  • 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). 
  • Wei, S., Lei, A.L., Gnauck, A. 2008. Solving water conflicts using game theoretic models. Yangtze River(in Chinese), 39(23): 8-13.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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
  • 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.
  • 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.

Proceeding Papers or Book Chapters：

  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Books:

  • Wei, S. , 2026. Foundation and Core Wavelet Theory: Concepts, Mathematics, and Python Foundations. Wavelet Transform in Practice: From Theory to Production-Ready Python Applications, 1. Deepsim Press, Abbotsford. DOI: 10.5281/zenodo.17373653
  • Wei, S., 2026. Applied Wavelet Analysis: Denoising, Trend Extraction, and Compression. Wavelet Transform in Practice: From Theory to Production-Ready Python Applications, 2(1). Deepsim Press, Abbotsford. DOI: 10.5281/zenodo.18791877
  • Wei, S., 2022. Wavelet Advanced Methods: Multiresolution Analysis, Custom Wavelets, and Feature Engineering. Wavelet Transform in Practice: From Theory to Production-Ready Python Applications, 2(2). Deepsim Press, Abbotsford. DOI: 10.5281/zenodo.18820664
  • Wei, S., 2026. Scientific and Environmental Systems: Biomedical, Geophysical, and Environmental Signal Analysis. Wavelet Transform in Practice: From Theory to Production-Ready Python Applications, 3(1). Deepsim Press, Abbotsford. DOI: 10.5281/zenodo.18914750
  • Wei, S., 2026. Financial, Security, and Digital Systems: Finance, Data Security, Signal Processing, and Anomaly Detection. Wavelet Transform in Practice: From Theory to Production-Ready Python Applications, 3(2). Deepsim Press, Abbotsford. DOI: 10.5281/zenodo.18933173
  • Wei, S., 2005. Managing World Heritage Sites in China from an Economic Perspective. Disserttion.de-Verlag, Berlin.
  • Wei, S. 2015. An Application of Game Theoretic Models to Water Resources Management. Emodlogic Technology Inc., Vancouver.

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