Introduction: The Intelligent Medical Detection Technology and Equipment team mainly focuses on the diagnosis, treatment, and rehabilitation of major human diseases, proactive health, and aging populations. Members conduct foundational research and biomedical application research in the fields of biomechanics, microfluidics, medical information detection, biosensors, rehabilitation robots, etc., providing key technical support for the research and development of intelligent medical instruments and equipment.
The team currently comprises 1 professor and 5 associate professors. Among them, one is recognized as Outstanding Young Talent in the "Revitalizing Liaoning Talents Plan" of Liaoning Province, five as high-level talents in the talents program of Dalian city, and one as Xinghai Talent by Dalian University of Technology. In recent years, the members have undertaken over 40 projects, including key R&D projects from the Ministry of Science and Technology, JW Science and Technology Committee key projects, JKW fundamental enhancement projects, National Natural Science Foundation projects, provincial and municipal-level projects, and company-sponsored projects. The total research funding has exceeded 16 million yuan. The team have published over 200 academic papers and have been granted over 40 invention patents. Their achievements also include receiving one Liaoning Provincial Science and Technology Award.
Team Members:
· Qin Kairong: Professor, PhD Supervisor
· Yu Jun: Associate Professor, PhD Supervisor
· Wang Yu: Associate Professor, PhD Supervisor
· Li Yongjiang: Associate Professor, Master's Supervisor
· Xue Chundong: Associate Professor, PhD Supervisor
· Xin Guiyang: Associate Professor, Master's Supervisor
Research Directions:
· Intelligent medical information detection and processing
· Biomechanics and force biology analysis
· Microfluidics and organ chips
· Intelligent artificial heart assist devices
· Biomechanics of biofluids and soft matter
· Machine learning and dynamic control
· Integrated sensor technology
· Medical rehabilitation robots
