Dr. Shouke Wei

Shouke Wei, Ph.D., is 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.

Dr. Wei earned his Ph.D. in Environmental and Resource Management from the Department of Environmental Informatics at Brandenburg University of Technology Cottbus–Senftenberg (Germany). He conducted postdoctoral research at the Swiss Federal Institute of Aquatic Science and Technology (Eawag), where he also served as a doctoral supervisor, and held research positions at the University of British Columbia (Canada). He has held distinguished and adjunct professorships at multiple institutions, including Yantai University, Ludong University, and Jining University. He has served as a graduate supervisor and distinguished professor in computer science, control engineering, and applied mathematics.

Dr. Wei currently serves as CEO and Chief Scientist of Deepsim Intelligence Technology Inc. (Canada), Chief Scientist at Canadian Sincerity Enterprises Inc., and Chief Scientist of Shandong Deepsim Intelligence Technology Co., Ltd. He is also a Postdoctoral Co-Supervisor at the Shandong Postdoctoral Innovation Practice Base and currently serves as Director of Qilu Artificial Intelligence and Digital Manufacturing Innovation at Shandong Deepsim Intelligence Technology Co., Ltd., China.

Dr. Wei has led or contributed to 19 major international research projects and the development of 19 intelligent systems, including autonomous water-quality monitoring vessels, AI-based environmental early-warning platforms, medical image diagnosis models, precision agriculture robots, and autonomous service robots. His scholarly contributions include 40+ peer-reviewed publications and 500+ tutorial online articles, 6 patents, 30 software copyrights. Dr. Wei’s work focuses on making advanced computational methods—particularly wavelet-based signal processing—accessible, practical, and impactful for researchers and practitioners worldwide.