Minghua Qiu | Agricultural and Biological Sciences | Excellence in Innovation Award

Prof. Minghua Qiu | Agricultural and Biological Sciences | Excellence in Innovation Award

Kunming Institute of Botany, Chinese Academy of Sciences | China

Prof. Minghua Qiu is a leading phytochemistry and natural products scientist whose research centers on the discovery, structural elucidation, and functional evaluation of bioactive molecules from medicinal and food plants. He has identified over 800 novel natural products, with particular emphasis on diterpenoids, triterpenoids, alkaloids, and polysaccharides from Coffea species and traditional medicinal genera. His work integrates advanced spectroscopic techniques, metabolomics, and machine learning–assisted structure annotation to accelerate natural product discovery. Prof. Minghua Qiu has made major contributions to coffee chemistry, revealing new diterpenes, flavor precursors, and health-related compounds. He holds numerous invention patents and has authored multiple books and highly cited research articles in top-tier journals.

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Featured Publications


Anaerobic germination of green coffee beans: A novel strategy to improve the quality of commercial Arabica coffee

Yanbing Wang et al., Minghua Qiu* – Current Research in Food Science, 2023

Ishrat Nazeer | Agricultural Science | Best Scholar Award

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