Daqiang Zhang

Tongji University, Shanghai Innovative Research Center of Traditional Chinese Medicine

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About

Dr. Daqiang Zhang is a leading researcher at the intersection of the Internet of Things (IoT), cyber-physical systems, and intelligent healthcare. His work focuses on seamlessly integrating the physical and digital worlds through cloud-enabled architectures. Dr. Zhang’s most influential contributions include pioneering industrial IoT technologies and applications, as detailed in his highly cited 2016 work (36 citations), and advancing patient care through his design of a robot and cloud-assisted multi-modal healthcare system (33 citations). These foundational studies have shaped how smart environments and automated systems are built and managed. More recently, Dr. Zhang is pushing the boundaries of industrial automation with cutting-edge research on geometric knowledge-based contrast learning for point cloud segmentation (2025), aiming to enhance the accuracy of robot simulations in complex 3D environments. He has also shaped the discourse on next-generation infrastructure as a Guest Editor for a special issue on Cloud-Integrated Cyber-Physical Systems. With a career spanning foundational IoT frameworks to state-of-the-art AI for robotics, Dr. Zhang’s work continues to drive innovation in smart, connected systems.