Shouke Wei, PhD, Professor
Dr. Shouke Wei earned his Ph.D. in Computer Simulation for Environmental and Resource Management from Brandenburg University of Technology Cottbus-Senftenberg, Germany, and completed postdoctoral research at the Swiss Federal Institute of Aquatic Science and Technology (EAWAG). He has held research positions at the University of British Columbia and served as a professor and graduate supervisor at multiple universities in China.
Currently, Dr. Wei is the Chairman and Chief Scientist at Deepsim Intelligent Technology Inc. (Canada) and Shandong Deepsim Intelligent Technology Co., Ltd (China). His research focuses on Machine learning, Computer vision, Big data analysis, Intelligent real-time monitoring and early warning systems, and Smart robot.
He has led or contributed to 21 major science and technology projects and developed 18 AI-based smart products. These products include an AI-driven Precision Agricultural weed Control Robot, a Smart Unmanned Surface Vessel for Real-time Water Quality Monitoring and Early Warning, a Smart Water Environment Monitoring System, etc. His academic contributions include over 40 papers with 900+ citations, 27 software copyrights and 5 patents. He has delivered 26 academic presentations, been invited as a keynote speaker at 14 international conferences, and serves as reviewers for 19 Journals.
Shouke Wei, PhD, Professor
Dr. Shouke Wei earned his Ph.D. in Computer Simulation for Environmental and Resource Management from Brandenburg University of Technology Cottbus-Senftenberg, Germany, and completed postdoctoral research at the Swiss Federal Institute of Aquatic Science and Technology (EAWAG). He has held research positions at the University of British Columbia and served as a professor and graduate supervisor at multiple universities in China.
Currently, Dr. Wei is the Chairman and Chief Scientist at Deepsim Intelligent Technology Inc. (Canada) and Shandong Deepsim Intelligent Technology Co., Ltd (China). His research focuses on Machine learning, Computer vision, Big data analysis, Intelligent real-time monitoring and early warning systems, and Smart robot.
He has led or contributed to 21 major science and technology projects and developed 18 AI-based smart products. These products include an AI-driven Precision Agricultural weed Control Robot, a Smart Unmanned Surface Vessel for Real-time Water Quality Monitoring and Early Warning, a Smart Water Environment Monitoring System, etc. His academic contributions include over 40 papers with 900+ citations, 27 software copyrights and 5 patents. He has delivered 26 academic presentations, been invited as a keynote speaker at 14 international conferences, and serves as reviewers for 19 Journals.