Associate Professor at Zhongkai University of Agriculture and Engineering, China
Dr. Ting Wu is an Associate Professor at Zhongkai University of Agriculture and Engineering, specializing in agricultural electrification and automation. With a robust academic background from South China Agricultural University, he focuses on image and spectral detection technologies, particularly in food detection. Dr. Wu has an impressive research portfolio, including 12 completed or ongoing projects, 16 published journal articles, and 5 patents. He has collaborated with prominent researchers and is actively involved in professional societies like the Chinese Computer Society and the Guangdong Artificial Intelligence Society. His significant contributions to food safety through spectral techniques underscore his commitment to advancing knowledge in life sciences and artificial intelligence.
Publication profile
Scopus Profile
Education Background
Dr. Ting Wu graduated from South China Agricultural University, where he earned his degree in Agricultural Electrification and Automation. Currently, he serves as an associate professor at Zhongkai University of Agriculture and Engineering, where he focuses on teaching and conducting research in areas such as image and spectral detection, particularly in the context of food safety and quality. His educational background, combined with his expertise in agricultural technology, underpins his innovative research contributions and his role in advancing knowledge within his field.
Research Experience
Dr. Ting Wu, an Associate Professor at Zhongkai University of Agriculture and Engineering, has a robust research experience focused on image and spectral detection technologies, particularly in the realm of food safety. He has completed or is involved in 12 research projects, demonstrating a strong commitment to advancing knowledge in agricultural electrification and automation. With a citation index of 169 and 16 published articles in reputable journals, his work has significantly influenced the field. Notably, Dr. Wu has developed innovative methods for detecting food adulteration and freshness using spectral techniques, showcasing the application potential of his research. Additionally, he holds 5 patents, indicating his capability to translate academic findings into practical solutions. His collaborative work with notable researchers further enhances his profile, underscoring his contributions to the scientific community and industry.
Teaching and Mentoring Experience
Dr. Ting Wu has a rich teaching and mentoring background as an Associate Professor at Zhongkai University of Agriculture and Engineering. He is dedicated to fostering an engaging learning environment, where he integrates his extensive research in image/spectral detection and food technology into his teaching. Through his courses, Dr. Wu emphasizes practical applications of theoretical concepts, equipping students with the skills necessary for their future careers. He is also committed to mentoring students in their academic pursuits, guiding them in research projects and encouraging their professional development. His collaborative approach not only enhances student understanding but also nurtures a culture of inquiry and innovation within the academic community.
Work Experience
Dr. Ting Wu has accumulated extensive work experience as an Associate Professor at Zhongkai University of Agriculture and Engineering, where he specializes in agricultural electrification and automation. His primary focus lies in the domains of image and spectral detection, particularly in food safety and quality. Over his academic career, he has completed or is engaged in 12 research projects and has authored 16 publications in reputable journals, contributing significantly to the field. Additionally, Dr. Wu has been involved in consultancy projects, demonstrating his ability to bridge academia and industry. His collaborative efforts with notable researchers in food detection highlight his commitment to advancing knowledge and technology in agriculture. Through his work, he has developed innovative methods for detecting food adulteration and freshness, further establishing his expertise in the application of spectral techniques in the life sciences.
Awards, Honours & Certificates
Dr. Ting Wu has received numerous accolades and recognition for his contributions to the field of agricultural electrification and automation, particularly in food detection using spectral techniques. His work has earned him a citation index of 169, reflecting significant influence among peers and within the academic community. He has published extensively, with 16 articles in reputable journals and one book, showcasing his commitment to advancing knowledge in life sciences and artificial intelligence. Additionally, Dr. Wu holds five patents, further illustrating his innovative approach to research. His active involvement in professional organizations, such as the Chinese Computer Society and the Guangdong Artificial Intelligence Society, highlights his dedication to staying engaged with the latest developments in his field. Collectively, these achievements underscore Dr. Wu’s status as a leading researcher and an asset to the scientific community.
Publication Top Notes
- Title: Accurate prediction of salmon storage time using improved Raman spectroscopy
- Authors: Zhong, N., Li, Y.P., Li, X.Z., Guo, C.X., Wu, T.
- Journal: Journal of Food Engineering
- Year: 2021
- Citations: 16
- Title: Research on Hardness Detection Method of Crisped Grass Carp Based on Visible – Near Infrared Hyperspectral Technology
- Authors: Wang, Q.X., Su, L.H., Zou, J., Wu, T., Yang, L.
- Journal: Journal of Physics: Conference Series
- Year: 2021
- Citations: 3
- Title: Accurate Identification of Agricultural Inputs Based on Sensor Monitoring Platform and SSDA-HELM-SOFTMAX Model
- Authors: Zou, J., Jiang, H., Wang, Q., Wu, T., Yang, L.
- Journal: Journal of Sensors
- Year: 2021
- Citations: 1
- Title: Rapid identification of rainbow trout adulteration in Atlantic salmon by Raman spectroscopy combined with machine learning
- Authors: Chen, Z., Wu, T., Xiang, C., Xu, X., Tian, X.
- Journal: Molecules
- Year: 2019
- Citations: 37
- Title: Establishment of a water nitrite nitrogen concentration prediction model based on stacked autoencoder-BP neural network
- Authors: Fu, T., Liu, G., Wan, Q., Lin, L., Yang, L.
- Journal: Journal of Fisheries of China
- Year: 2019
- Citations: 2
Conclusion
Dr. Ting Wu’s nomination for the Best Researcher Award is well-deserved, given his significant contributions to the field of food detection through innovative spectral techniques. His research addresses pertinent issues in food safety, and his extensive publication and patent record reflect a dedicated researcher. While there are areas for improvement, such as enhancing international visibility and public engagement, his strengths strongly support his candidacy for this prestigious award. Overall, Dr. Wu exemplifies the qualities of an outstanding researcher who is making a meaningful impact in his field.