Prof. Aike Qiao | Biomedical | Best Researcher Award
Professor at Beijing University of Technology, China
Profiles
Early Academic Pursuits
Prof. Aike Qiao began his academic journey in the field of biomechanics and biomedical engineering, focusing on the mechanics of the cardiovascular system. His profound interest in numerical simulations, biomechanics of medical devices, and endovascular interventions led him to pursue advanced degrees in these fields. He earned his Ph.D., which provided the foundation for his pioneering research in computational biomechanics and biomedical devices. His studies are characterized by a blend of theoretical modeling and practical applications in the development of medical technologies.
Professional Endeavors
Prof. Qiao has had an extensive professional career, currently serving as a Professor at the College of Chemistry and Life Science, Beijing University of Technology (BJUT). His role as an educator and researcher has greatly contributed to the fields of biomechanics, biomedical engineering, and artificial intelligence in medicine. In addition to his academic role, Prof. Qiao actively participates in several professional societies, holding important committee positions in organizations like the Chinese Society of Biomedical Engineering and the Beijing Association of Biomedical Engineering. His work continues to shape the direction of research in biomedical devices and cardiovascular biomechanics.
Contributions and Research Focus
Prof. Qiao’s primary research interests lie in the biomechanics of the cardiovascular system, numerical simulation of biomechanics, endovascular interventions, and biomedical device innovation. He has led multiple significant research projects, such as the study of individualized stent design and optimization of biodegradable zinc alloy stents. His work on fractional flow reserve computation using Doppler echocardiography and CT imaging has advanced non-invasive diagnostic techniques in cardiology. Prof. Qiao has also conducted cutting-edge research on stent design, intravascular hemodynamics, and the optimization of surgical treatments for aortic diseases.
Impact and Influence
Prof. Qiao’s research has had a far-reaching impact on both the academic and medical communities. He has been instrumental in developing computational methods that aid in the design and optimization of medical devices like stents. His work in the biomechanics of cardiovascular interventions has improved surgical planning and device implantation procedures, enhancing patient outcomes. He has also influenced the direction of medical research in China, contributing to a broader understanding of cardiovascular biomechanics and the role of technology in improving health care.
Academic Cites
Prof. Qiao’s research publications are widely cited, reflecting the significance of his contributions to the biomedical engineering field. His work has been referenced in numerous high-impact journals, contributing to the advancement of knowledge in cardiovascular biomechanics, medical devices, and hemodynamic simulations. As an editorial board member and editor for various journals, including Beijing Biomedical Engineering, Journal of Medical Biomechanics, and Biological Physics, Prof. Qiao has further expanded his academic influence.
Teaching Experience
As a professor at BJUT, Prof. Qiao has educated and mentored many students, imparting knowledge in biomechanics, biomedical engineering, and computational methods. His commitment to fostering innovation and research in these fields has shaped the next generation of engineers and researchers. He has also served as an advisor for numerous graduate students, guiding their academic and research careers.
Technical Skills
Prof. Qiao is highly skilled in numerical simulations, computational modeling, and biomechanical analysis. He has expertise in advanced computational techniques, including finite element modeling, fluid dynamics simulations, and image-based modeling for cardiovascular devices. His proficiency in these areas has allowed him to develop highly accurate simulations that support the design and testing of medical devices, particularly stents. Additionally, his expertise in Doppler echocardiography and CT imaging has made significant contributions to non-invasive diagnostics.
Legacy and Future Contributions
Prof. Qiao’s work has left a lasting legacy in the field of biomedical engineering. His research continues to inspire new developments in medical device design, particularly in the areas of stent optimization and non-invasive diagnostic tools for cardiovascular health. His contributions are pivotal in the ongoing efforts to improve the safety and effectiveness of endovascular interventions. Looking forward, Prof. Qiao aims to further advance the field through innovative research in artificial intelligence for medical applications, continuing to explore how technology can revolutionize patient care and treatment outcomes.
Publications
Advances in studies on tracheal stent design addressing the related complications
- Authors: Shiliang Chen, Tianming Du, Hanbing Zhang, Yanping Zhang, Aike Qiao
- Journal: Materials Today Bio
- Year: 2024
A quantitative study of the effects of a dual layer coating drug-eluting stent on safety and efficacy
- Authors: Bao Guo, Shiliang Chen, Yu Zhang, Yujia Yang, Hongfang Song, Yanping Zhang, Tianming Du, Aike Qiao
- Journal: Journal of Biomechanics
- Year: 2024
Dynamic-Cross-Linked, Regulated, and Controllable Mineralization Degree and Morphology of Collagen Biomineralization
- Authors: Ziyao Geng, Fan Xu, Ying Liu, Aike Qiao, Tianming Du
- Journal: Journal of Functional Biomaterials
- Year: 2024
The calculation method of blood flow pressure based on four-dimensional flow magnetic resonance imaging and deep learning
- Authors: Chunhao Tao, Yanjing Han, Tianming Du, Yanping Zhang, Long Jin, Hanbing Zhang, Shiliang Chen, Qian Wang, Wei Wu, Aike Qiao
- Journal: Physics of Fluids
- Year: 2024
Deep-learning-based real-time individualization for reduce-order haemodynamic model
- Authors: Bao Li, Guangfei Li, Jincheng Liu, Hao Sun, Chuanqi Wen, Yang Yang, Aike Qiao, Jian Liu, Youjun Liu
- Journal: Computers in Biology and Medicine
- Year: 2024