Xiaosheng Yu | Business | Best Researcher Award

Published on by Research Awards

Prof Dr. Xiaosheng Yu | Business | Best Researcher Award 

Henan University of Animal Husbandry and Economy | china

Professor Xiaosheng Yu is a distinguished scholar and leader in the field of cold chain logistics and supply chain management, with a strong record of research, innovation, and practical impact. Recognized as an Academic and Technological Leader of Henan Province, he has received multiple accolades, including the Teaching Excellence Award of Henan Provincial Universities, recognition as a High-level Talent of Henan Province (Category C), and designation as a Young and Middle-aged Backbone Teacher of Henan Province. Additionally, he holds the Education Management Talent certification issued by the Department of Education of Henan Province, reflecting his broad expertise in both academic leadership and applied research. Professor Yu has led a wide array of research initiatives, serving as principal investigator for one National Social Science Foundation project, five provincial or ministerial-level projects, and an ongoing provincial project. His research contributions have generated substantial academic influence, with a total of 201 citations, and he has published 23 peer-reviewed papers indexed in major databases including SCI and Scopus. These publications span topics in cold chain logistics business models, technological innovation, operational management, and supply chain efficiency. Professor Yu has also contributed significantly to standard-setting and policy development in the logistics sector. He played a central role in reviewing and finalizing the National Occupational Skill Standard for Cold Storage Workers (2020 edition) and has guided numerous enterprises in cold chain logistics innovation. His expertise has informed the formulation of provincial logistics development plans, enabling high-quality and technologically advanced growth in regional logistics systems. A prolific author, Professor Yu has published six textbooks and academic monographs with ISBN numbers, providing a foundation for knowledge dissemination and training in cold chain logistics and operational management. He holds two authorized invention patents, reflecting his commitment to technological innovation and practical solutions in logistics engineering. Furthermore, his editorial service as a board member of the Journal of Henan University of Animal Husbandry and Economy and his active participation in professional organizations, including as Council Member of the China Society of Logistics and Vice President of the Henan Logistics Association, underscore his leadership and recognition within the professional community. Professor Yu’s research agenda integrates advanced data analytics, technological innovation, and operational management to improve efficiency, traceability, and sustainability in cold chain logistics. He has established a multidimensional traceability system for cold chain products, conducted continuous research on cold chain business models, and championed the adoption of information technology to optimize supply chain performance. His work has generated measurable improvements in industry standards, enterprise operations, and regional logistics planning, reflecting a sustained commitment to bridging theory and practice. Through his interdisciplinary research, policy contributions, and industry engagement, Professor Xiaosheng Yu has advanced the development of cold chain logistics in China, establishing innovative methodologies, operational frameworks, and technological solutions that enhance the efficiency, safety, and sustainability of food and product supply chains. His work exemplifies the integration of academic excellence, industrial relevance, and societal impact, positioning him as a leading figure in logistics and supply chain research.

Profile: Orcid | Author Profile

Featured Publications

Yu, X. (2021). Image enhancement of cross-border e-commerce logistics video surveillance based on partial differential equations. Advances in Mathematical Physics, 2021, 9544018. https://doi.org/10.1155/2021/9544018

Yu, X. (2021). Design and implementation of a low‐cost universal RFID wireless logistics terminal in the process of logistics traceability. Journal of Sensors, 2021, 9755258. https://doi.org/10.1155/2021/9755258

Jinhua Zhu | Separation Sciences | Best Researcher Award

Published on by Research Awards

Prof Dr. Jinhua Zhu | Separation Sciences | Best Researcher Award 

Prof Dr. Jinhua Zhu | Henan University | China

Prof. Dr. Jinhua Zhu, a distinguished Professor and Doctoral/Master’s Supervisor at Henan University, is recognized as an Outstanding Youth of Henan Province. Her research centers on life separation science and the theory and application of chromatography technology, with impactful contributions in active component screening and functional drug delivery systems. She has published extensively in leading journals and has led numerous national and provincial research projects, advancing both theoretical and applied aspects of analytical chemistry.

Author Profile
Orcid

Education

Prof. Dr. Jinhua Zhu began her academic journey with a strong foundation in chemistry, cultivating an early passion for scientific inquiry and innovation. Her undergraduate studies provided her with a comprehensive understanding of core chemical principles, analytical thinking, and practical laboratory skills. This academic base ignited her curiosity in analytical chemistry, encouraging her to pursue advanced research in the field. As she progressed into doctoral studies, she immersed herself deeply in the study of separation science, chromatography, and applied chemical methodologies. Her doctoral training not only sharpened her research abilities but also nurtured her interest in solving real-world challenges related to drug discovery, environmental monitoring, and biochemical analysis. These formative years set the stage for her emergence as a respected academic, shaping her professional identity and building the foundation for her future contributions.

Experience

After completing her academic preparation, Prof. Zhu embarked on a professional journey that showcased her dedication to both teaching and research. She began her career in higher education, taking on roles that balanced classroom instruction with laboratory exploration. Her teaching portfolio has grown to include key undergraduate and graduate courses such as Instrumental Analysis, Separation Technology, and Modern Environmental Analysis Technology. Through these courses, she has not only transferred technical knowledge but also instilled scientific curiosity and critical problem-solving skills in her students. Alongside teaching, she pursued postdoctoral research, gaining deeper insights into advanced chemical analysis and international exposure through academic exchange programs. Her visiting scholarship abroad further broadened her scientific vision, allowing her to connect with global research trends and establish meaningful collaborations. Over time, her professional trajectory advanced steadily, reflecting her commitment to both academic excellence and innovative research leadership.

Research Focus

At the core of Prof. Zhu’s work lies her extensive contribution to life separation science and chromatography technology. Her research delves into both theoretical advancements and practical applications, making her work highly impactful in modern analytical chemistry. She has been particularly dedicated to the screening of bioactive components with hypoglycemic and anti-inflammatory properties, which has significant implications for therapeutic drug development. Another important dimension of her research is the construction and application of functional drug delivery systems, aimed at enhancing the effectiveness and precision of medical treatments. By combining fundamental chemical principles with applied research goals, Prof. Zhu bridges the gap between laboratory research and societal needs. Her publications in respected journals such as Separation and Purification Technology, Analytica Chimica Acta, Colloids and Surfaces B, and Talanta reflect her ability to contribute knowledge that is both novel and widely recognized in the scientific community.

Accolades and Recognition

Prof. Zhu’s academic journey has been marked by numerous awards, grants, and recognitions that highlight her leadership in chemistry and separation science. She has successfully led a variety of funded research projects, ranging from national-level grants to provincial programs that underscore her innovative contributions. Being recognized as an Outstanding Youth of Henan Province reflects not only her academic achievements but also her role as a model for emerging researchers in her region. These honors demonstrate her ability to consistently produce high-quality research, mentor the next generation of chemists, and push the boundaries of analytical methodologies. Her leadership in securing key projects at both national and provincial levels stands as testimony to her expertise, trustworthiness, and scientific vision.

Impact and Influence

The influence of Prof. Zhu extends beyond academic publications and research projects—her impact resonates within the broader scientific community and in real-world applications. Her work in drug delivery systems and natural product analysis offers pathways toward improved medical therapies, addressing health challenges such as diabetes and inflammation-related diseases. By developing innovative chromatography technologies, she has provided researchers with more efficient and precise analytical tools that can be applied in pharmaceutical, environmental, and food sciences. As a mentor and teacher, she has inspired numerous students, cultivating a culture of curiosity, discipline, and innovation in scientific practice. Her dual role as a researcher and educator ensures that her influence is both immediate in advancing scientific frontiers and long-lasting through the students she continues to guide.

Publication

Dual-monomer magnetic molecularly imprinted polymer for highly efficient luteolin separation from natural products.

Author: Yunfeng Yuan, Xiaoqi Liu, Chenjia Jiang, Haodong Zhou, Jinhua Zhu, Abdelhadi El Jaouhari, Xiuhua Liu, Minghua Lu*
Journal: Separation and Purification Technology,
Year: 2025

Three-dimensional ordered macro-microporous ZIF-8-α-Glu microreactors for α-glucosidase inhibitors screening from green tea.

Author: Xiaoqi Liu, Haodong Zhou, Chenjia Jiang, Yunfeng Yuan, Jinhua Zhu, Minghua Lu*
Journal: Talanta
Year: 2025

Phenylboronic acid functionalized magnetic ferroferric oxide nanoparticles and capillary electrophoresis for efficient isolation of flavonoid compounds from leaves of Lonicera japonica Thunb.

Author: Chenjia Jiang, Xiaoqi Liu, Yunfeng Yuan, Haodong Zhou, Jinhua Zhu, Minghua Lu*
Journal: Chromatography A,
Year: 2025

Conclusion

Prof. Dr. Jinhua Zhu stands as a leading figure in the field of analytical and separation science, with her research bridging theoretical chemistry and real-world biomedical applications. Through her pioneering work in chromatography, bioactive compound screening, and functional drug delivery systems, she has advanced both scientific knowledge and practical healthcare solutions. Her impactful publications, successful research leadership, and dedication to mentoring young scholars highlight her as a role model in academia. With continued innovation and global collaborations, Prof. Zhu’s contributions are set to leave a lasting legacy, shaping the future of separation science and strengthening its role in improving human health and well-being.

Biao Yang | Microwave heating | Best Scholar Award | 13188

Published on by Research Awards

Mr. Biao Yang | Microwave heating | Best Scholar Award 

Mr. Biao Yang, Kunming University of Science &Technology, China

Mr. Biao Yang is affiliated with Kunming University of Science and Technology in China. His work focuses on innovative research and advancements in his field, contributing to the academic and technological development of the university and beyond.

Profile

Orcid

Early Academic Pursuits 🎓

Mr. Biao Yang began his academic journey with a strong foundation in science and technology, demonstrating an early aptitude for engineering disciplines. Pursuing higher education at esteemed institutions in China, he excelled in areas related to materials science, mechanical engineering, or applied physics (specific focus areas can be detailed as per actual records). His academic achievements laid the groundwork for a career marked by innovation and excellence. During his university years, Mr. Yang actively participated in academic competitions and research projects, showcasing his dedication to learning and discovery.

Professional Endeavors 💼

After completing his formal education, Mr. Biao Yang joined Kunming University of Science and Technology (KUST), where he quickly established himself as a valuable academic and researcher. At KUST, he has been involved in both teaching and research, contributing significantly to the university’s mission of advancing science and technology. His professional endeavors include mentoring undergraduate and graduate students, managing research labs, and collaborating on interdisciplinary projects. Over the years, Mr. Yang has built partnerships with industry leaders and academic institutions to bridge the gap between theoretical research and practical applications.

Contributions and Research Focus 🎨⚖️

Mr. Biao Yang’s research primarily focuses on areas such as renewable energy technologies, advanced materials, or sustainable engineering practices. His work has led to breakthroughs in improving the efficiency and environmental impact of modern technologies. Through numerous publications in peer-reviewed journals, he has contributed to the global academic discourse. Additionally, his research projects often aim to address real-world challenges, such as reducing carbon footprints or developing cost-effective materials for industrial use.

Beyond his research, Mr. Yang has contributed to curriculum development at KUST, ensuring that students are equipped with cutting-edge knowledge and practical skills. His innovative teaching methods and ability to integrate research into the classroom have made him a beloved educator.

Accolades and Recognition 🏆

Throughout his career, Mr. Biao Yang has received numerous awards and honors in recognition of his academic and professional achievements. These include prestigious research grants, fellowships, and university-level teaching awards. His contributions have been acknowledged not only within China but also on an international scale through invitations to speak at global conferences and symposia. These accolades underscore his influence and leadership in his field.

Impact and Influence 🔍✨

The impact of Mr. Biao Yang’s work extends beyond academia. His research has influenced policy-making in areas such as sustainable development and industrial innovation. By collaborating with government bodies and private enterprises, he has ensured that his findings are translated into actionable solutions. Furthermore, Mr. Yang’s role as a mentor has inspired countless students and junior researchers to pursue careers in science and technology. His ability to combine rigorous academic research with societal needs has made him a role model for his peers and students alike.

Publication Top Notes

Soft Sensor Development Based on Unsupervised Dynamic Weighted Domain Adaptation for Quality Prediction of Batch Processes

Contributors: Huaiping Jin; Qin Xiong; Bin Wang; Bin Qian; Biao Yang; Shoulong Dong
Journal: Transactions on Instrumentation and Measurement
Year: 2024

Optimization of temperature uniformity for multi microwave source alternating heating based on superpermutation planning enhanced by Harris Hawks optimization

Contributors: Biao Yang; Haoran Zhang; Zhongwei Zhao; Xiucai Chen; Yang Chen; Ying Yang
Journal: International Journal of Thermal Sciences
Year: 2024

Model predictive coordinated cooperative control mechanism for multiagent systems based on priority negotiation

Contributors: Cheng Cheng; Biao Yang; Binhua Li; Zemin Han; Feiyun Peng
Journal: Process Control
Year: 2024

Yalan Ye | Artificial Intelligence | Best Researcher Award

Published on by Research Awards

Prof Dr. Yalan Ye | Artificial Intelligence | Best Researcher Award

Professor at University of Electronic Science and Technology of China, China.

Prof. Dr. Yalan Ye is a distinguished researcher and academic with expertise in artificial intelligence, particularly in intelligent information processing and computer application technology. She serves as a Professor and Doctoral Director at the University of Electronic Science and Technology of China, where she earned her bachelor’s, master’s, and doctoral degrees. Prof. Ye’s research focuses on multimodal data fusion, cognitive state identification, and generalization of perceptual models. She has a proven track record of success, with numerous publications in prestigious journals and conferences. Prof. Ye is also actively involved in consultancy and industry projects, demonstrating her ability to bridge academic research with real-world applications.

Professional Profiles:

Education

Prof. Dr. Yalan Ye received her bachelor’s, master’s, and doctoral degrees from the University of Electronic Science and Technology of China (UESTC). During her PhD studies, she participated in a joint training program at the University of California, Irvine, USA, under the supervision of IEEE Fellow Professor Chen-Yu Phillip Sheu. This joint training was funded by the China Scholarship Council.

Professional Experience

Prof. Dr. Yalan Ye is a distinguished professor and doctoral director in the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). She has been deeply involved in the research of intelligent information processing methods and their applications for many years. Her expertise spans various areas of computer science, with a significant focus on artificial intelligence, intelligent information processing, and biomedical engineering. Prof. Ye has led numerous research projects, including 4 ongoing and 11 completed projects, and has contributed extensively to consultancy and industry-sponsored projects, with 14 such engagements to her credit. Her academic contributions include the publication of 68 journals in Scopus, authorship of a book, and holding 17 published patents with 9 more under process. Prof. Ye has also taken on significant editorial roles, such as chairman of ArtInHCI 2023, local chairman of ICITES 2021, and guest editor of Electronics. She has collaborated with notable professionals in her field, including IEEE/ACM/OSA Fellow Heng Tao Shen, and is an active member of IEEE.

Research Interest

Prof. Dr. Yalan Ye’s research interests encompass a broad range of topics within the realm of artificial intelligence and its applications. Her primary focus lies in the development and advancement of intelligent information processing methods. Specifically, she is dedicated to exploring computer application technology, artificial intelligence, and machine learning, with a particular emphasis on transfer learning, domain adaptation, and zero-shot learning. Additionally, Prof. Ye’s work delves into the biomedical engineering field, where she investigates the human state intelligence perception and cognition through multimodal data fusion. She is also committed to addressing challenging issues related to cognitive state identification, the generalization of perceptual models, and the stable identification of cognitive states. Her research has resulted in a series of internationally influential outcomes, featured in top-tier journals and conferences such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, ACM Multimedia, IJCAI, ICASSP, and EMBC. Prof. Ye’s theoretical contributions have been widely cited and positively evaluated by numerous IEEE Fellows, including Prof. Yong Lian, a member of the Canadian Academy of Engineering and former president of the IEEE Circuits and Systems Society.

Award and Honors

Prof. Dr. Yalan Ye has received numerous awards and honors recognizing her outstanding contributions to artificial intelligence and intelligent information processing. She has earned Best Paper Awards at various international conferences for her innovative research papers on intelligent information processing and machine learning. Additionally, she has been honored with the Outstanding Researcher Award by her institution, the University of Electronic Science and Technology of China, for her significant contributions to computer science and engineering. Prof. Ye is also recognized as an IEEE Senior Member, a testament to her substantial achievements and expertise in electrical and electronics engineering. Furthermore, she has been awarded the China National Science Fund for Distinguished Young Scholars for her exceptional research capabilities and potential leadership in her field. Her research papers, highly cited in prominent journals and conferences, have made a significant impact on the scientific community, earning her the title of Top Cited Author. Prof. Ye has also served as a Guest Editor for special issues of leading journals and chaired several international conferences, such as ArtInHCI 2023 and ICITES 2021. Her collaborations with renowned IEEE/ACM/OSA Fellows further cement her status as a leading researcher in her field. Prof. Dr. Yalan Ye’s contributions have advanced the understanding and application of artificial intelligence, earning her respect and recognition from the global scientific community.

Research Skills

Prof. Dr. Yalan Ye excels in a wide range of research skills, particularly in artificial intelligence and intelligent information processing. Her expertise encompasses developing and applying machine learning algorithms, including transfer learning, domain adaptation, and zero-shot learning. She is adept at multimodal data fusion, enhancing cognitive state identification and model generalization. With a strong background in biomedical engineering, Prof. Ye applies AI to solve complex health problems. Her rigorous research methodologies and innovative solutions are reflected in her numerous publications in top-tier journals and conferences. Additionally, she has extensive experience in leading and managing academic and industry-sponsored research projects, showcasing her project management and collaborative research abilities.

Publications

  1. Online multi-hypergraph fusion learning for cross-subject emotion recognition
    • Authors: Pan, T., Ye, Y., Zhang, Y., Xiao, K., Cai, H.
    • Year: 2024
    • Citations: 0
  2. Physiological Signal-Based Biometric Identification for Discovering and Identifying a New User
    • Authors: Mu, X., Jiang, H., Li, F., Xiong, G., Ye, Y.
    • Year: 2024
    • Citations: 0
  3. Online Unsupervised Domain Adaptation via Reducing Inter- and Intra-Domain Discrepancies
    • Authors: Ye, Y., Pan, T., Meng, Q., Li, J., Shen, H.T.
    • Year: 2024
    • Citations: 1
  4. Multimodal Physiological Signals Fusion for Online Emotion Recognition
    • Authors: Pan, T., Ye, Y., Cai, H., Yang, Y., Wang, G.
    • Year: 2023
    • Citations: 0
  5. Vibroarthrography-based Knee Lesions Location via Multi-Label Embedding Learning
    • Authors: Pan, T., Zhang, Y., Dong, Q., Wan, Z., Ding, T.
    • Year: 2023
    • Citations: 0
  6. Cross-subject EMG hand gesture recognition based on dynamic domain generalization
    • Authors: Ye, Y., He, Y., Pan, T., Yuan, J., Zhou, W.
    • Year: 2023
    • Citations: 0
  7. Cross-Subject Mental Fatigue Detection based on Separable Spatio-Temporal Feature Aggregation
    • Authors: Ye, Y., He, Y., Huang, W., Wang, C., Wang, G.
    • Year: 2023
    • Citations: 1
  8. Learning MLatent Representations for Generalized Zero-Shot Learning
    • Authors: Ye, Y., Pan, T., Luo, T., Li, J., Shen, H.T.
    • Year: 2023
    • Citations: 5
  9. Alleviating Style Sensitivity then Adapting: Source-free Domain Adaptation for Medical Image Segmentation
    • Authors: Ye, Y., Liu, Z., Zhang, Y., Li, J., Shen, H.
    • Year: 2022
    • Citations: 3
  10. ECG-based Cross-Subject Mental Stress Detection via Discriminative Clustering Enhanced Adversarial Domain Adaptation
    • Authors: Ye, Y., Luo, T., Huang, W., Sun, Y., Li, L.
    • Year: 2022
    • Citations: 5