Mr. Weimin Xu | Engineering | Best Researcher Award
Associate Professor at Shanghai Maritime University, China
Dr. Weimin Xu is an accomplished associate professor and researcher in the field of control science and engineering. With over three decades of academic and industry experience, he currently serves at Shanghai Maritime University, where he has made notable contributions to intelligent control systems, particularly in the domain of overhead crane technologies. His research blends theoretical innovation with real-world applications, having led to advancements in nonlinear system theory, sliding mode control, and intelligent vision-based load monitoring. Dr. Xu has published extensively in high-impact journals and has secured numerous patents in control engineering. His work has earned him regional recognition and collaborative opportunities with international institutions.
Profile
Education
Dr. Xu’s academic journey began with a Bachelor’s degree in Industrial Automation from Northeastern University, China, in 1989. He pursued postgraduate studies at the same university, earning his Master’s degree in Control Theory and Control Engineering in 1992, followed by a Ph.D. in the same discipline in 1997. His strong academic foundation laid the groundwork for a career rooted in advanced control systems and robotics.
Experience
Dr. Xu began his professional career in 1997 as a senior engineer and project manager at Yantai Dongfang Electronics Co., Ltd., where he gained practical insights into information management and control systems. In 2002, he transitioned into academia, joining Nankai University’s School of Information Science and Technology as an associate researcher and master’s supervisor in the Institute of Robotics and Information Automation. Since 2009, he has been affiliated with the Key Laboratory of Shipping Technology and Control Engineering at Shanghai Maritime University, where he continues to teach and conduct research. In 2013, he expanded his international experience as a visiting scholar at the University of Southern California’s School of Engineering, further enhancing his academic exposure and collaborative reach.
Research Interest
Dr. Xu’s research encompasses several critical areas within control science. He specializes in nonlinear and adaptive control, sliding mode control, and intelligent control strategies for complex electromechanical systems. A significant portion of his work focuses on the intelligent detection and control of overhead cranes, including real-time load stabilization, multi-lift synchronization, and vision-based spatial positioning. His recent studies integrate RFID and multi-source sensor technologies to enable intelligent logistics systems, enhancing automation and safety in port operations. His contributions are grounded in practical implementations, ensuring that theoretical advancements translate into deployable engineering solutions.
Award
Dr. Xu’s contributions have earned him notable accolades, including the prestigious Second Prize for Scientific and Technological Progress awarded by the Shanghai Municipal Government in 2011. This recognition was granted for his work on the intelligent management system for container trucks based on multi-sensor coordination, a project that demonstrated high technical innovation and societal impact in port automation. He has also been honored with a regional science and technology progress award from Pudong New Area, underscoring the localized significance of his applied research outcomes.
Publication
Among Dr. Xu’s numerous publications, the following seven works stand out for their technical depth and research influence:
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Model-free robust synchronous control of multi-lift overhead cranes (Jin & Xu, 2023, Transactions of the Institute of Measurement and Control, cited by 11 articles);
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Robust Adaptive Decoupled-Like Sliding Mode Controller Design for 3D-Overhead Cranes (Zheng & Xu, 2023, Transactions of the Institute of Measurement and Control, cited by 9);
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Model-free robust adaptive control with finite-time convergence (Liu & Xu, 2023, Transactions of the Institute of Measurement and Control, 45(6): 1–15, cited by 10);
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Nonlinear time-varying sliding mode control under unknown disturbances (Zhu & Xu, 2023, Transactions of the Institute of Measurement and Control, 45(1): 181–194, cited by 8);
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Swing measurement using monocular vision in cranes (Huang & Xu, 2022, Transactions of the Institute of Measurement and Control, 44(1): 50–59, cited by 12);
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Moving sliding mode controller for disturbed overhead cranes (Gu & Xu, 2022, Transactions of the Institute of Measurement and Control, 44(1): 60–75, cited by 10);
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Vision-feedback-based adaptive swing control for bridge cranes (Zheng & Xu, 2023, Control Engineering, 30(6): 1051–1061, cited by 7).
These works collectively reflect Dr. Xu’s influence in advancing control methodologies for complex mechanical systems.
Conclusion
Dr. Weimin Xu exemplifies the ideal candidate for recognition in the domain of AI and control systems research. His academic rigor, practical innovations, and commitment to advancing automation technologies have positioned him as a leader in the field. With over 60 publications and 40 patents, he continues to bridge the gap between theoretical research and industrial application. His interdisciplinary approach, international collaborations, and accolades make him a distinguished nominee worthy of acknowledgment in the AI Data Scientist Awards under the Excellence in Research category.