Assoc Prof Dr. Xiaohua Xia | Mechanical Engineering | Best Researcher Award

Dr. Xia serves as the Director of the Institute of Quality Control and leads the Engineering Equipment Intelligent Vision Scientific Research Team at Chang’an University. This leadership role underscores his active contribution to advancing research in intelligent vision technologies and engineering equipment quality control, a highly relevant area with potential societal impact.

🌱EARLY ACADEMIC PURSUITS

Xiaohua Xia began his academic journey by earning a Bachelor of Science (BS) degree from China University of Petroleum in 2009. His commitment to advancing his knowledge led him to pursue a Ph.D. from Xi’an Jiaotong University, graduating in 2015 . These foundational years were crucial in building a solid knowledge base in engineering and set the stage for his future contributions in quality control and intelligent vision in engineering equipment.

Xiaohua Xia currently holds the position of Associate Professor and Doctoral Supervisor at Chang’an University . In his role, he leads advanced research and supports the development of emerging scholars. As the Director of the Institute of Quality Control and the Leader of the Engineering Equipment Intelligent Vision Scientific Research Team at Chang’an University , Xia’s influence extends across multiple fields. His professional journey underscores a dedication to quality assurance and the intelligent automation of engineering practices.

Xiaohua Xia’s research revolves around engineering equipment, quality control, and intelligent vision systems . By merging machine vision and quality control methodologies, his work aims to enhance the accuracy and reliability of engineering equipment diagnostics and assessments. His pioneering research in intelligent vision for engineering equipment has the potential to significantly reduce operational errors and enhance the efficiency of maintenance protocols.

Xiaohua Xia’s research has garnered substantial academic citations , indicating the wide-reaching impact and value of his work. His publications are referenced by scholars and professionals alike, contributing to a growing body of knowledge in quality control and intelligent systems. This scholarly recognition highlights his expertise and the practical application of his research in both academic and industrial contexts.

Xia’s work has had a notable influence on the engineering and academic communities . His contributions have driven improvements in quality control and intelligent diagnostics, fostering a greater understanding of how machine vision can impact traditional engineering practices. His role as a doctoral supervisor further amplifies his influence by nurturing the next generation of engineers and researchers.

As Xiaohua Xia continues to advance in his career, his contributions to intelligent vision systems and quality control are poised to leave a lasting legacy in engineering. His future endeavors are likely to expand upon his existing work, potentially venturing into new fields within engineering and automation . Xia’s impact on academia and industry ensures that his work will benefit both current and future developments in engineering technology.

Functionalized molybdenum tailings improve flame retardancy and mechanical properties of DOPO@chitosan-vanillin Schiff-containing rigid polyurethane foam
Authors : Feng, S.; Wang, Y.; Zhou, Y.; … Su, O.; Xia, X.
Journal : Materials Today Communications , 2024, Volume 41, Article 110825

Image correction for perspective distortion of cylindrical surfaces at arbitrary poses |
Authors : Duan, Z.; Xia, X.; He, P.; Hu, P.
Journal : Guangxue Jingmi Gongcheng/Optics and Precision Engineering , 2024, Volume 32, Issue 16, Pages 2577–2589

Fingerprint-inspired biomimetic tactile sensors for the surface texture recognition
Authors : Qin, L.; Hao, L.; Huang, X.; … Xia, X.; Dong, G.
Journal : Sensors and Actuators A: Physical , 2024 , Volume 371, Article 115275

Underwater image enhancement synthesizing multi- scale information and attention mechanisms | Underwater image enhancement synthesizing multi-scale information and attention mechanisms
Authors : Xia, X.; Zhong, Y.; Hu, P.; … Geng, J.; Zhang, L.
Journal : Guangxue Jingmi Gongcheng/Optics and Precision Engineering , 2024, Volume 32, Issue 10, Pages 1582–1594

Influence of Imaging Parameters on Shape from Focus of Large- Depth Objects | Influence of Imaging Parameters on Shape from Focus of Large-Depth Objects
Authors : Xia, X.; Cao, Y.; Xiang, H.; Yuan, S.; Ge, Z.
Journal : Guangxue Xuebao/Acta Optica Sinica , 2024, Volume 44, Issue 8, Article 0815001