Assoc. Prof. Dr. Yang Liu | Food Processing and Engineering | Best Researcher Award

Dr. at Tarim University, China

Dr. Yang Liu, born in September 1990, is an Associate Professor at Tarim University in Alaer City, Xinjiang, China. He is recognized as an expert in agricultural products processing and storage, with a focus on improving the quality and efficiency of the forest and fruit industries in the Xinjiang Uygur Autonomous Region. He earned his Doctor of Engineering degree from Northeast Agricultural University. Dr. Liu is also a master supervisor and has been honored with the title of talent honorary title by Bingtuan, reflecting his influence and leadership in the field. In addition, he holds several prominent roles, including serving as a special commissioner of science and technology for Bingtuan and as a job specialist at Tarim University. His expertise is also sought after by academic journals, where he serves as an editorial board member, guest editor, and reviewer for various prominent journals.

Professional Profile

Scopus Profile

Education

Dr. Yang Liu’s educational journey culminated in a Doctor of Engineering degree from Northeast Agricultural University. Throughout his academic career, he has specialized in agricultural science, focusing on the efficient processing and storage of agricultural products. His studies in this area laid the foundation for his ongoing research in improving the quality of agricultural industries in Xinjiang. As an Associate Professor and master supervisor at Tarim University, Dr. Liu continues to contribute to the academic development of students and the field through teaching and mentorship. His extensive educational background provides him with a strong base to conduct innovative research while ensuring that his work remains grounded in scientific rigor.

Professional Experience

Dr. Liu’s professional career spans a variety of impactful roles, demonstrating his significant contributions to both academia and the scientific community. He has presided over multiple national and provincial projects, including the “Damage Mechanism and Quantitative Evaluation Method of Korla Pear under Dynamic Load” project funded by the National Natural Science Foundation of China. Additionally, he leads a special project for science popularization under the XPCC, showcasing his leadership in both applied research and public education. His position at Tarim University allows him to contribute directly to advancing research in agricultural sciences. Furthermore, as an expert on the forest and fruit industries in Xinjiang, Dr. Liu’s work addresses critical regional challenges in agricultural development.

Research Interests

Dr. Liu’s research interests focus on agricultural products processing, storage, and the improvement of forest and fruit industry efficiency, particularly in the Xinjiang Uygur Autonomous Region. His research explores innovative methods to enhance the quality and sustainability of agricultural products, addressing challenges such as dynamic load damage in fruit transportation and storage. Additionally, he is dedicated to developing new technologies for food preservation and processing, which are crucial for food security and the economic growth of the agricultural sector. His expertise in the scientific evaluation of agricultural products and his interdisciplinary approach to agricultural science make his work vital in both regional and broader agricultural contexts.

Awards and Honors

Dr. Liu has received numerous awards and honors throughout his academic career. He was bestowed the talent honorary title by Bingtuan, recognizing his outstanding contributions to agricultural science and his influence in the field. As a special commissioner of science and technology for Bingtuan, he has played a pivotal role in shaping agricultural advancements within the Xinjiang Uygur Autonomous Region. His professional achievements are further demonstrated by his leadership in several high-profile research projects, including national-level funding. Dr. Liu’s status as an editorial board member, guest editor, and reviewer for prominent scientific journals underscores his respected position in the scientific community and highlights his ongoing contributions to the academic world.

Conclusion

Dr. Yang Liu is highly deserving of the Best Researcher Award. His contributions to agricultural science, particularly in processing and storage, combined with his leadership in research projects and his tangible impact on both the academic and practical aspects of the field, make him a standout candidate. By expanding his international collaborations, his work could have an even broader and more global influence in addressing critical agricultural challenges.

Publications Top Noted

📄 Publication 1:

• Title: Intelligent Fault Diagnosis of Inter-Turn Short Circuit Faults in PMSMs for Agricultural Machinery Based on Data Fusion and Bayesian Optimization
• Authors: Wang, M., Lai, W., Zhang, H., Liu, Y., Song, Q.
• Journal: Agriculture (Switzerland), 2024, 14(12), 2139
• Citations: 0

📄 Publication 2:

• Title: Non-destructive detection of water adulteration level in fresh milk based on combination of dielectric spectrum technology and machine learning method
• Authors: Liang, Q., Liu, Y., Zhang, H., Xia, Y., Li, S.
• Journal: Journal of Food Composition and Analysis, 2024, 136, 106807
• Citations: 0

📄 Publication 3:

• Title: The Study on Nondestructive Detection Methods for Internal Quality of Korla Fragrant Pears Based on Near-Infrared Spectroscopy and Machine Learning
• Authors: Che, J., Liang, Q., Xia, Y., Zhang, H., Lan, H.
• Journal: Foods, 2024, 13(21), 3522
• Citations: 3

📄 Publication 4:

• Title: Dielectric spectroscopy technology combined with machine learning methods for nondestructive detection of protein content in fresh milk
• Authors: Liang, Q., Liu, Y., Zhang, H., Che, J., Guo, J.
• Journal: Journal of Food Science, 2024, 89(11), pp. 7791–7802
• Citations: 0

📄 Publication 5:

• Title: Label-free electrochemical immunosensor based on an internal and external dual-signal synergistic strategy for the sensitive detection of Salmonella in food
• Authors: Yi, Z., Zhang, Y., Guo, M., Huang, G., Zhang, J.
• Journal: Food Bioscience, 2024, 61, 105006
• Citations: 0

📄 Publication 6:

• Title: An NMR immunosensor based on streptavidin-biotin signal amplification for rapid detection of Salmonella in milk
• Authors: Guo, M., Zhang, Y., Yi, Z., Huang, G., Zhang, J.
• Journal: Food Bioscience, 2024, 61, 104937
• Citations: 0

📄 Publication 7:

• Title: Design and Optimization of Key Parameters for a Machine Vision-Based Walnut Shell–Kernel Separation Device
• Authors: Ni, P., Hu, S., Zhang, Y., Niu, H., Lan, H.
• Journal: Agriculture (Switzerland), 2024, 14(9), 1632
• Citations: 0

📄 Publication 8:

• Title: NMR Immunosensor Based on a Targeted Gadolinium Nanoprobe for Detecting Salmonella in Milk
• Authors: Guo, M., Yi, Z., Li, H., Huang, G., Zhang, J.
• Journal: Analytical Chemistry, 2024, 96(28), pp. 11334–11342
• Citations: 1

📄 Publication 9:

• Title: Non-Destructive Testing of the Internal Quality of Korla Fragrant Pears Based on Dielectric Properties
• Authors: Tang, Y., Zhang, H., Liang, Q., Che, J., Liu, Y.
• Journal: Horticulturae, 2024, 10(6), 572
• Citations: 1

📄 Publication 10:

• Title: Optimization and Testing of the Technological Parameters for the Microwave Vacuum Drying of Mulberry Harvests
• Authors: Cong, Y., Liu, Y., Tang, Y., Yang, X., Zhang, H.
• Journal: Applied Sciences (Switzerland), 2024, 14(10), 4137
• Citations: 1