Hongjie Zhou | Agricultural | Best Researcher Award

Published on by Innovation Technologist

Prof. Hongjie Zhou | Agricultural | Best Researcher Award

Professor at Yunnan Agricultural University, China

Professor Hongjie Zhou is renowned as one of the Top Ten Outstanding Figures of Pu-erh Tea globally. He is celebrated for his contributions to the tea industry and academia, receiving the National “Outstanding Contribution Award for Promoting Tea Culture” in 2010. He was named a National Excellent Teacher in 2019 and has received numerous accolades, including China Science and Technology Progress awards. As a leader in tea science and technology, he has been pivotal in shaping the future of tea research and its cultural significance. 🌍🍃

Publication Profile : 

Scopus

Educational Background 🎓

Hongjie Zhou earned his academic credentials in the field of Tea Science and Technology, with a focus on Pu-erh tea processing and utilization. His extensive expertise and research contributions have led him to become a renowned national professor and doctoral supervisor in China.

Professional Experience 💼

Prof. Hongjie Zhou has a distinguished career in both academic research and tea industry innovation. He currently holds a position at Yunnan Agricultural University, where he leads research projects on tea quality, tea processing, and the development of functional teas. With over 33 research projects headed and 27 research projects participated in, he has published over 200 scientific papers, including 10+ SCI-indexed articles. His work has garnered multiple accolades, including the National Outstanding Contribution Award and recognition as the Leader in Tea Science and Technology Innovation. Prof. Zhou has also been granted 27 patents and authored 16 textbooks and 30 monographs. His research has greatly contributed to the promotion of tea culture in China and beyond, establishing him as a pivotal figure in the tea industry.

Research Interests 🔬

Professor Zhou’s research is centered around tea quality 🌿, tea processing 🍃, and the development of functional teas. His work on Pu-erh tea and its comprehensive utilization is globally recognized. He also focuses on tea germplasm resources and aims to innovate within the tea culture of China. His projects extend beyond academia, with 22 industry collaborations and a significant impact on tea technology. In 2014, he was honored as the leader of tea science and technology innovation in Western China.

Publications 📚

  1. Ma, C., Wang, Q., Tian, D., Li, Y., & Zhou, H. (2024). HS-SPME-GC-MS combined with relative odor activity value identify the key aroma components of flowery and fruity aroma in different types of GABA tea. Food Chemistry: X, 24, 101965. https://doi.org/10.xxxx/xxxxx
  2. Zhou, X., Tian, D., Zhou, H., Wang, B., & Li, Y. (2024). Effects of different fermentation methods on flavor quality of Liupao tea using GC-Q-TOF-MS and electronic nose analyses. Foods, 13(16), 2595. https://doi.org/10.xxxx/xxxxx
  3. Tian, D., Huang, G., Ren, L., Li, Y., & Zhou, H. (2024). Effects of Monascus purpureus on ripe Pu-erh tea in different fermentation methods and identification of characteristic volatile compounds. Food Chemistry, 440, 138249. https://doi.org/10.xxxx/xxxxx
  4. Chen, Z., Dai, W., Xiong, M., Chen, D., & Li, Y. (2024). Metabolomics investigation of the chemical variations in white teas with different producing areas and storage durations. Food Chemistry: X, 21, 101127. https://doi.org/10.xxxx/xxxxx
  5. Yan, X., Tian, Y., Zhao, F., Shan, Z., Zhang, C., & Li, Y. (2024). Analysis of the key aroma components of Pu’er tea by synergistic fermentation with three beneficial microorganisms. Food Chemistry: X, 21, 101048. https://doi.org/10.xxxx/xxxxx

 

 

 

Ishrat Nazeer | Agricultural Science | Best Scholar Award

Published on by Innovation Technologist

Ms. Ishrat Nazeer | Agricultural Science | Best Scholar Award

Research Scholar at National Institute of Technology Srinagar, J&K , India

Ms. Ishrat Nazeer is a dedicated researcher currently pursuing her Doctor of Philosophy (Ph.D.) in Engineering at the National Institute of Technology (NIT) Srinagar, Jammu & Kashmir, India. Her research focuses on the “Design and Development of an Artificial Intelligence-Driven Framework for Enhancing Saffron Production in India.” She earned her Master of Technology (M.Tech) in Computer Science Engineering from Lovely Professional University, Punjab, with an impressive 93.2%, and her Bachelor of Engineering (B.E.) in Computer Science from the University of Kashmir, where she achieved 76.4%.

Publication Profile : 

Scopus

Educational Background :

Ishrat Nazeer is currently pursuing her Doctor of Philosophy (Ph.D.) in Engineering at the National Institute of Technology (NIT) Srinagar, Jammu & Kashmir, India. Her research focuses on developing an artificial intelligence-driven framework to enhance saffron production 🌾. She holds a Master of Technology (M.Tech) in Computer Science Engineering from Lovely Professional University, Jalandhar, Punjab (2018-2020), where she graduated with an outstanding 93.2% 📚. Prior to that, she earned her Bachelor of Engineering (B.E.) in Computer Science from the University of Kashmir, Srinagar (2013-2018), with a commendable 76.4% 🎓.

Professional Experience :

Ishrat has gained significant experience in both research and academia. She is currently working as a Junior Research Fellow at the Department of Computer Science, NIT Srinagar, where she has been contributing since November 2022 🔬. Before this, she served as a Lecturer in the Department of Computer Science at the Government College of Engineering and Technology Safapora, Ganderbal, J&K, from February 2021 to November 2022 👩‍🏫.

Research Interests : 

Ishrat’s research interests lie at the intersection of artificial intelligence (AI), machine learning (ML), and smart agriculture 🌐🤖. She is particularly focused on applying AI and deep learning techniques to improve saffron cultivation and other agricultural practices. Her work also extends to the integration of IoT and UAV technologies for real-time monitoring and stress detection in crops 🌱. Additionally, she is passionate about the application of AI in healthcare, particularly in the early detection and diagnosis of diseases 🩺.

Publication Top Notes :

  • Ishrat Nazeer, Saiyed Umer, Ranjeet Kumar Rout. Artificial Intelligence-Based Smart Agricultural Systems for Saffron Cultivation with Integration of Unmanned Aerial Vehicle Imagery and Deep Learning Approaches. Computers and Electrical Engineering Journal. (Accepted)
  • Ishrat Nazeer, Saiyed Umer, Ranjeet Kumar Rout. Saffron Adulteration Prediction Based on Fine-Grained Deep Features. 2024 2nd International Conference “MAchine inTelligence for Research & Innovations (MAiTRI-2024 Summit). (Accepted)
  • Ishrat Nazeer, Mamoon Rashid, Mir Mohammad Yousuf, Umar Iqbal Wani, Amanpreet Kaur. Medical Diagnosis Cloud Model for Detection of Kidney Diseases. 2019 Fifth International Conference on Image Information Processing (ICIIP-2019), SCOPUS, February 10, 2020, Pages 315-320. DOI: 10.1109/ICIIP47