Prof. Yaolin Zhu | Textile Engineering and Spectroscopy | Best Researcher Award
Prof at Xi’an Polytechnic University, China
Yaolin Zhu, is a distinguished male professor at Xi’an Polytechnic University, China. He serves as a Master’s Supervisor and is a member of the China Textile Engineering Society and the Shaanxi Provincial Automation Society. With a commitment to academic excellence, Professor Zhu has significantly contributed to the fields of communication and information systems, fostering innovation in technology.
🎓 Education
Professor Zhu earned his Doctoral Degree in Communication and Information Systems from Shanghai University. He further enhanced his expertise through postdoctoral research in Electronic Science and Technology at Xi’an University of Technology and Northwestern Polytechnical University. Additionally, he has engaged in visiting research at the University of Reutlingen in Germany, broadening his academic horizons and international collaboration.
💼 Experience
With extensive experience in academia, Professor Zhu has held various academic positions at Xi’an Polytechnic University. His research background is supported by postdoctoral roles and visiting research opportunities, emphasizing his dedication to advancing knowledge in communication systems and electronic technology. His mentorship has nurtured numerous students in their academic journeys.
🏆 Awards and Honors
Professor Zhu has received several prestigious awards, including the Third Prize for Shaanxi Provincial Science and Technology Advancement, a Second Prize for Shaanxi Provincial Higher Education Science and Technology Advancement, and a Third Prize for Xi’an Municipal Science and Technology Progress. He has also obtained nearly 10 authorized patents, reflecting his innovative contributions to technology.
🔬 Research Focus
Professor Zhu’s research focus centers on communication and information systems, with an emphasis on electronic science and technology. His work contributes to advancements in automation and textile engineering, driving innovation in the industry. Through his research, he aims to address contemporary challenges and enhance technological applications in various fields.
Publication
1. Identification of apple leaf diseases based on MA-ConvNext network and stepwise relational knowledge distillation
- Authors: Liu, H., Li, Y., Zhang, L., Zhu, Y., Hou, L.
- Year: 2024
- Journal: Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 58(9)
2. A lightweight multiscale smoke segmentation algorithm based on improved DeepLabV3+
- Authors: Chen, X., Hou, Q., Fu, Y., Zhu, Y.
- Year: 2024
- Journal: IET Image Processing, 18(10), pp. 2665–2678
3. Near-infrared spectroscopy identification method of cashmere and wool fibers based on an optimized wavelength selection algorithm
- Authors: Zhu, Y., Chen, L., Chen, X., Chen, J., Zhang, H.
- Year: 2024
- Journal: Heliyon, 10(14), e34537
4. Non-destructive identification of wool and cashmere fibers based on improved LDA using NIR spectroscopy
- Authors: Chen, X., Lan, Q., Zhu, Y.
- Year: 2024
- Journal: Autex Research Journal, 24(1), 20230017
5. Application of Unsupervised Feature Selection in Cashmere and Wool Fiber Recognition
- Authors: Zhu, Y., Wang, X., Gu, M., Hu, G., Li, W.
- Year: 2024
- Journal: Journal of Natural Fibers, 21(1), 2311306
6. Accurate identification of cashmere and wool fibers based on enhanced ShuffleNetV2 and transfer learning
- Authors: Zhu, Y., Liu, R., Hu, G., Chen, X., Li, W.
- Year: 2023
- Journal: Journal of Big Data, 10(1), 152
7. ANIMAL FIBER RECOGNITION BASED ON FEATURE FUSION OF THE MAXIMUM INTER-CLASS VARIANCE
- Authors: Zhu, Y., Zhao, L., Chen, X., Li, Y., Wang, J.
- Year: 2023
- Journal: Autex Research Journal, 23(4), pp. 560–566
8. RepVGG-YOLOv7: A Modified YOLOv7 for Fire Smoke Detection
- Authors: Chen, X., Xue, Y., Hou, Q., Fu, Y., Zhu, Y.
- Year: 2023
- Journal: Fire, 6(10), 383
9. A novel smoke detection algorithm based on improved mixed Gaussian and YOLOv5 for textile workshop environments
- Authors: Chen, X., Xue, Y., Zhu, Y., Ma, R.
- Year: 2023
- Journal: IET Image Processing, 17(7), pp. 1991–2004
10. An Improved GOMP Sparse Channel Estimation for Vehicle-to-Vehicle Communications
- Authors: Chen, X., Zhang, X., Zhu, Y., Ma, R.
- Year: 2023
- Journal: International Journal of Antennas and Propagation, 2023, 5281547