Yan Xu

Yan Xu (Billy 徐岩) is a PhD researcher with the Design and Manufacturing Futures Lab at the University of Bristol. He was awarded a master’s degree in engineering with management from the University of Bristol, focusing on sustainable energy.
 

His current research focuses on the development and optimisation of advanced multiphaisc osteochondral scaffolds using 3D printing technology in conjunction with CT image-assisted design to provide effective, patient-specific treatments for patients with osteochondral injuries and osteoarthritis. This work involves addressing key challenges in biocompatibility, mechanical properties, cellular integration and vascularisation to create scaffolds that mimic the complex structure and function of natural osteochondral tissue. The research also requires medical image segmentation to capture the parameters of the design.

If you’re interested in any of my work, please contact me.
 

Email: yan.xu@bristol.ac.uk 

LinkedIn: Yan Xu | LinkedIn

ORCID: Yan Xu (0009-0007-8187-0276) – ORCID

Research Gate: Yan Xu 

Recent developments

Attending the 30th ICCES 2024 Conference in Singapore—- In early August, Yan Xu attended the 30th International Conference on Computational and Experimental Engineering and Science (ICCES2024) and presented a conference paper: Overview of Graph Theoretical Approaches in Medical Image Segmentation… Read more

Paper: Multi-objective optimisation of 3D-printed multilayer TPMS osteochondral scaffolds for enhanced mechanical and biological performance Full article: Multi-objective optimisation of 3D-printed multilayer TPMS osteochondral scaffolds for enhanced mechanical and biological performance

Paper: Recent advances in biomaterials and structural design of 3D printed multiphasic scaffolds for osteochondral regeneration Recent advances in biomaterials and structural design of 3D printed multiphasic scaffolds for osteochondral regeneration – ScienceDirect

Paper: Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches

Paper: Generative design of patient-specific bone plates for Schatzker type VI tibial plateau fractures Generative design of patient-specific bone plates for Schatzker type VI tibial plateau fractures

Paper: 3D Printing of Biodegradable Polymer Vascular Stents to Treat Cardiovascular Diseases: A review 3D printing of biodegradable polymer vascular stents to treat cardiovascular diseases: A review – ScienceDirect

Paper: Flow field design and process parameter experiments in electrochemical machining of involute internal spline Flow field design and process parameter experiments in electrochemical machining of involute internal spline | The International Journal of Advanced Manufacturing Technology | Springer Nature Link

Paper: Computational analysis of mechanical performance for 3D-printed biodegradable PLA cardiovascular stents Computational analysis of mechanical performance for 3D-printed biodegradable PLA cardiovascular stents – ScienceDirect