XUEYING MAO | Biological Sciences | Best Researcher Award

Prof . XUEYING MAO | Biological Sciences | Best Researcher Award

Professor from China Agricultural University, China

Professor Xueying Mao is a distinguished academic and researcher at the College of Food Science and Nutritional Engineering, China Agricultural University. With over two decades of academic experience, she has built a strong profile in the field of dairy science, particularly in the study of milk fat globule membranes, food digestion, and nutritional bioactivity. Her scientific contributions have gained recognition through publications in top-tier journals like Trends in Food Science & Technology and Food Chemistry, where she has consistently served as the sole corresponding author. Professor Mao has shown a focused commitment to research that addresses the compositional and interfacial properties of milk, enhancing the understanding of dairy functionality and nutritional outcomes. She is currently a participating investigator in a major National Natural Science Foundation of China (NSFC) Key Project on ultra-high temperature sterilized milk proteins. Her long-standing academic involvement, rigorous scientific inquiry, and impactful publications have solidified her reputation as a leader in food science research. She has also made significant contributions to academic mentorship and the development of food technology education in China. Professor Mao’s work reflects both scientific depth and practical relevance, making her an exemplary candidate for prestigious recognitions such as the Best Researcher Award.

Professional Profile

Education

Professor Xueying Mao has pursued a progressive academic path with a strong foundation in both animal and food sciences. She earned her Bachelor’s degree in Animal Nutrition from Hebei Agricultural University in 1993, where she began her early academic engagement in nutritional studies. Continuing her academic journey, she obtained a Master’s degree in Animal Nutrition from Huazhong Agricultural University in 1996, developing deeper expertise in the biological and nutritional sciences of livestock and food production. She culminated her formal academic training with a Ph.D. in Food Science and Engineering from China Agricultural University in 2003. Her doctoral studies marked a transition into the food science discipline, integrating her background in animal nutrition with modern food processing and biochemical research. To further enhance her research capabilities, she completed a postdoctoral fellowship at Peking University from 2003 to 2005, where she likely broadened her interdisciplinary exposure and laboratory experience. This blend of education across different institutions and specialties has provided Professor Mao with a comprehensive understanding of food and nutritional sciences, from fundamental animal-based studies to advanced food engineering. Her educational background has laid a robust scientific and technical foundation for her extensive research career in dairy and nutritional engineering.

Professional Experience

Professor Xueying Mao has accumulated extensive professional experience in academia and research, marked by a steady progression through teaching and research roles. Her professional journey began in 1996 at the College of Animal Science and Technology, Hebei Agricultural University, where she served as a Lecturer. During this period, she focused on teaching and foundational research in animal nutrition. In 2005, she joined the College of Food Science and Nutritional Engineering at China Agricultural University as an Associate Professor. Her appointment marked a significant transition into food science, allowing her to apply her background in animal nutrition to emerging topics in food digestion and dairy processing. In 2013, she was promoted to Full Professor, a role she continues to hold today. Her professional growth reflects a trajectory of increasing leadership, mentorship, and research responsibilities. Notably, Professor Mao has been actively involved in several national-level research projects and has led or co-authored numerous influential publications. Her long-term association with China Agricultural University, a leading institution in agricultural and food sciences, has allowed her to contribute substantially to academic development, curriculum design, and collaborative research. Her career exemplifies sustained academic excellence and dedication to advancing food science in China.

Research Interest

Professor Xueying Mao’s research interests lie at the intersection of dairy science, food chemistry, and nutritional bioengineering. She is particularly focused on the composition, structural behavior, and functional properties of milk fat globule membranes (MFGM). Her work investigates the differences between natural and processed milk, with special attention to how interfacial properties affect digestion, bioactivity, and overall health benefits. A core component of her research explores comparative lipid digestion and immunomodulatory effects between goat and cow milk, providing valuable insights for both nutritional science and the dairy industry. In recent years, she has delved into the mechanisms of protein complex formation during ultra-high temperature (UHT) treatment and how these changes influence the development of aged gels, which are relevant in food storage and processing. Her current involvement in a National Natural Science Foundation of China (NSFC) Key Project exemplifies her leadership in addressing fundamental questions in food biochemistry. Professor Mao’s research bridges basic scientific understanding with practical applications in dairy processing, human health, and food formulation. Her studies contribute to the development of more functional and digestible dairy products, and she remains committed to expanding knowledge on food interfaces, emulsions, and bioactive food components.

Research Skills

Professor Xueying Mao possesses a robust set of research skills that support her work in food science and dairy technology. She is highly proficient in proteomic analysis, biochemical characterization, and structural evaluation of food emulsions, particularly milk fat globule membranes (MFGM). Her ability to study interfacial behavior at the molecular level enables her to unravel complex digestion and bioactivity mechanisms of dairy products. Professor Mao is skilled in designing and conducting comparative digestion studies, in vitro simulations, and analyzing the impact of food processing techniques such as ultra-high temperature (UHT) treatment on protein-lipid complexes. Her scientific approach is systematic and interdisciplinary, integrating analytical chemistry, nutritional biology, and food engineering. She is adept at using modern laboratory instruments for mass spectrometry, chromatography, and advanced microscopy, enabling high-precision evaluations of food structure and functionality. In addition, she has extensive experience in scientific writing, journal publication, and grant proposal development. Her leadership in collaborative research projects also highlights her capabilities in project coordination, data interpretation, and academic mentoring. Overall, Professor Mao’s technical expertise and methodological rigor place her among the leading researchers in the field of food and nutritional sciences.

Awards and Honors

While specific named awards are not listed in the provided information, Professor Xueying Mao’s career achievements reflect substantial academic recognition through prestigious project involvement and high-impact publications. She is currently a principal participant in a Key Project funded by the National Natural Science Foundation of China (NSFC), which signifies a competitive and prestigious acknowledgment of her research capabilities at the national level. Her repeated role as the sole corresponding author in internationally renowned journals like Trends in Food Science & Technology and Food Chemistry demonstrates a high degree of academic leadership and international recognition. These roles are typically reserved for researchers who contribute significantly to experimental design, data interpretation, and manuscript preparation. Her promotion to Full Professor at China Agricultural University and her long-standing tenure at this elite institution also point to continued institutional trust and acknowledgment of her research excellence. Although no formal awards are explicitly mentioned, her scholarly impact, project leadership, and publication record collectively affirm her status as a highly respected researcher in her domain. Additional documented honors or recognitions, if available, would further reinforce her qualifications for high-level academic awards and honors.

Conclusion

Professor Xueying Mao stands out as a seasoned researcher whose contributions to dairy science and nutritional engineering are both scientifically significant and socially relevant. Her focused research on the behavior of milk fat globule membranes and lipid digestion addresses key challenges in food functionality, health impact, and industrial processing. With a strong academic background, leadership in national research initiatives, and a series of impactful publications as sole corresponding author, Professor Mao exemplifies the qualities of a high-caliber researcher. Her methodical approach to studying food structure and digestion bridges basic science and applied technology, supporting innovations in food design and public nutrition. Though there is room to enhance her profile through broader project leadership or increased industry collaboration, her consistent academic excellence and subject matter depth firmly establish her as a leading figure in her field. She is well-qualified for consideration for the Best Researcher Award, and her career trajectory continues to reflect a strong commitment to scientific advancement and academic service. With continued support and recognition, Professor Mao is poised to make even greater contributions to the advancement of food science and engineering in China and internationally.

Publications Top Notes

  1. Title: The effect of degree of esterification of pectin on the grainy properties of post-heated fermented milk
    Authors: Gao, Fei; Mao, Xueying; Wang, Pengjie; Song, Sijia; Li, Dongdong
    Journal: Food Hydrocolloids
    Year: 2025

  2. Title: Changes in the interfacial properties of camel milk fat globules induced by homogenization and thermal processing: Implications for digestive characteristics
    Authors: Jiang, Hui; Xu, Yunxuan; Chen, Gangliang; Mao, Xueying
    Journal: Food Chemistry
    Year: 2025

  3. Title: Camel milk endogenous peptides ameliorated hyperglycemia in high-fat diet-fed C57BL/6 J mice in association with modulation of gut microbiota and the IRS/Akt and JNK/p38 pathways
    Authors: Zheng, Qianwen; Chen, Gangliang; Mao, Xueying
    Journal: Food Research International
    Year: 2025

  4. Title: Preheating intensity affects the properties of age gelation formed in direct ultra-high-temperature skim milk
    Authors: Liu, Xiaohan; Gong, Han; Hu, Yifan; Ren, Fazheng; Mao, Xueying
    Journal: International Dairy Journal
    Year: 2025

  5. Title: The compositions of milk fat globule membrane determine the interfacial behavior, digestive properties, and bioactivities: Natural versus processed forms (Review)
    Authors: Ma, Zhiyuan; Gong, Han; Liu, Biao; Mao, Xueying
    Year: 2025
    Citations: 2

  6. Title: Corrigendum to “Differences in proteomic profiles and immunomodulatory activity of goat and cow milk fat globule membrane” Food Chemistry 455 (2024) 139885
    Authors: Jiang, Hui; Gong, Han; Li, Qin; Gao, Jingxin; Mao, Xueying
    Journal: Food Chemistry (Corrigendum)
    Year: 2025

Mingsheng Wang | Biological Sciences | Best Researcher Award

Dr. Mingsheng Wang | Biological Sciences | Best Researcher Award

Lecturer at Tarim University, China

Mingsheng Wang is a Lecturer at the College of Mechanical Electrification Engineering, Tarim University, China. His research primarily focuses on motor fault diagnosis, with expertise in vibration noise analysis, finite element modeling, and deep learning applications. He holds a Ph.D. in Mechanical Engineering from the prestigious Beijing Institute of Technology, where he developed innovative methodologies for fault diagnosis in permanent magnet synchronous motors (PMSMs). Mingsheng has contributed to national engineering projects and authored impactful publications in journals like IEEE Transactions on Power Electronics and Sensors. With advanced technical skills in tools like Matlab/Simulink, Maxwell, and LabView, he has been instrumental in building motor test benches and implementing fault diagnosis algorithms. His work aligns with advancing the reliability of electric motors, making significant contributions to the development of fault detection technologies in electric vehicles.

Professional Profile

Education

Mingsheng Wang completed his Ph.D. in Mechanical Engineering from Beijing Institute of Technology in 2024. His doctoral studies emphasized motor fault diagnostics and the application of deep learning in fault detection. He earned his Master’s degree in Agricultural Mechanization Engineering from Hebei Agricultural University in 2015, where he developed foundational expertise in agricultural mechanical systems. Additionally, he holds a Bachelor’s degree in Measurement and Control Technology and Instrument from the same institution, awarded in 2012. Throughout his academic journey, Mingsheng honed his technical and research skills, building a solid foundation in diagnostics, multi-physics field co-simulations, and reliability engineering.

Professional Experience

Mingsheng Wang has recently joined Tarim University as a Lecturer in the College of Mechanical Electrification Engineering. His role involves teaching and research in advanced motor fault diagnosis and electrification technologies. He has extensive research experience from his Ph.D. program, contributing to nationally significant projects such as the development of motor fault diagnosis systems and vibration noise analysis for silicon carbide systems. His prior work also includes evaluating reliability technologies for integrated controllers and studying the thermal performance of motor controllers. Mingsheng’s expertise spans practical and theoretical domains, where he has contributed to designing motor test benches, implementing data acquisition systems, and validating algorithms for intelligent fault diagnosis.

Research Interests

Mingsheng Wang’s research focuses on motor fault diagnosis, particularly in permanent magnet synchronous motors (PMSMs). His interests include vibration noise analysis, multi-physics field co-simulations, and the application of deep learning techniques in diagnostics. He has worked extensively on fault detection in electric motors, including bearing fault diagnosis and inter-turn short circuit faults, with applications in electric vehicles and advanced mechanical systems. His research aligns with enhancing motor reliability and optimizing system performance, addressing critical challenges in energy efficiency and system reliability. His recent projects delve into coupling fault information with motor vibration and current signals to develop intelligent diagnostic solutions.

Research Skills

Mingsheng Wang is skilled in designing and debugging motor fault test benches and building robust data acquisition systems. He has advanced expertise in finite element modeling, multi-physics field co-simulations, and deep learning applications in fault diagnostics. Proficient in tools like Matlab/Simulink, Maxwell, and LabView, he excels in analyzing co-simulation models and applying advanced algorithms such as convolutional neural networks and transfer learning for fault detection. His skills extend to vibration and noise signal processing, system pre-processing, and experimental setup, making him adept at bridging the gap between theoretical research and practical implementation.

Awards and Honors

While Mingsheng Wang’s CV does not explicitly mention awards, his achievements include significant contributions to national research projects and publishing in high-impact journals. His work in motor fault diagnosis, particularly his innovative approaches using deep learning and multi-physics analysis, has been well-recognized within academic circles. Publications in journals like Sensors and IEEE Transactions on Power Electronics highlight his research excellence and innovative contributions to the field of mechanical engineering and diagnostics. These accomplishments underline his standing as an emerging researcher poised for recognition in his field.

Conclusion

Mingsheng Wang is a strong candidate for the Best Researcher Award, particularly in the category of emerging researchers with significant contributions to motor fault diagnosis and reliability engineering. His technical skills, impactful research projects, and publications in high-ranking journals establish his excellence in the field. However, to further solidify his claim to this award, he could work on gaining more professional experience, building a broader research profile, and enhancing his international collaborations and outreach efforts. In conclusion, he is highly suitable for recognition in his research niche and could be an excellent recipient of this award, especially as an early-career researcher poised to make significant future contributions.

Publication Top Notes

  1. Intelligent Fault Diagnosis of Inter-Turn Short Circuit Faults in PMSMs for Agricultural Machinery Based on Data Fusion and Bayesian Optimization
    Authors: Mingsheng Wang, Wuxuan Lai, Hong Zhang, 扬 刘 (Yang Liu), Qiang Song
    Year: 2024