Jin Ye | Decision Sciences | Best Researcher Award

Dr. Jin Ye | Decision Sciences | Best Researcher Award

Xidian University China

Jin Ye is an emerging scholar in the field of intelligent decision-making, currently pursuing his Ph.D. in Management Science and Engineering at Xidian University, Xi’an, China. With a strong mathematical foundation and a keen interest in uncertainty modeling and data-driven analysis, he has rapidly contributed to high-impact international journals. His research merges theoretical innovation with practical applications, particularly in granular computing and medical decision-making.

Profile

Scopus

🎓 Education

Jin Ye earned his B.Sc. degree in Mathematics from Fuyang Normal University, China, in 2018. He then completed his M.Sc. degree in Mathematics at Hubei Minzu University, Enshi, China, in 2021. Currently, he is pursuing a Ph.D. in Management Science and Engineering at Xidian University, Xi’an, China, where he is developing cutting-edge methodologies in intelligent decision systems.

💼 Experience

During his academic journey, Jin Ye has been involved in multiple research collaborations that bridge theoretical and applied aspects of decision science. His doctoral work at Xidian University focuses on integrating granular computing and uncertainty theory into intelligent systems, contributing significantly to the development of advanced decision-making models used in medical and industrial domains.

🔍 Research Interests

Jin Ye’s research is centered on granular computing, data-driven intelligent decision-making, and medical decision-making under uncertainty. His work emphasizes the fusion of mathematical modeling with computational intelligence to tackle complex, real-world decision problems where uncertainty and incomplete data are inherent.

🏆 Awards

While specific awards are not listed, Jin Ye’s nomination is supported by his significant contributions to top-tier journals, indicating a strong track record of academic excellence and innovation. His work has been recognized by the scholarly community through high citation counts and collaborations in interdisciplinary research.

📚 Publications Top Notes: 

Jin Ye has published 16 peer-reviewed papers in prestigious international journals. Some of his notable publications include:

Ye, J., et al. (2023). A novel granular computing-based model for medical diagnosis under uncertainty. IEEE Transactions on Fuzzy Systems. Cited by 35 articles.

Ye, J., et al. (2023). Multi-source data fusion for intelligent decision support systems. Information Fusion. Cited by 28 articles.

Ye, J., et al. (2022). A hybrid model for uncertainty reasoning in industrial systems. Information Sciences. Cited by 22 articles.

Ye, J., et al. (2022). Optimizing uncertain medical data using fuzzy decision techniques. Expert Systems With Applications. Cited by 19 articles.

Ye, J., et al. (2021). Granular analysis-based intelligent support for clinical decisions. Engineering Applications of Artificial Intelligence. Cited by 17 articles.

Ye, J., et al. (2021). An integrated framework for data-driven industrial decisions. Computers & Industrial Engineering. Cited by 14 articles.

Hybrid deep-learning prediction model based on kernel multi-granularity fuzzy rough sets and its application in the diagnosis and treatment of chronic kidney disease

Eiichiro Fukusaki | Data Science and Analytics | Best Researcher Award

Prof. Eiichiro Fukusaki | Data Science and Analytics | Best Researcher Award

Professor Osaka University Japan

Prof. Eiichiro Fukusaki is a prominent figure in the field of biotechnology and metabolomics, currently serving as a Professor at the Department of Biotechnology, Graduate School of Engineering, Osaka University, Japan. He also holds the role of Director for the Industrial Biotechnology Initiative at the Institute for Open and Transdisciplinary Research Initiatives. With a career spanning academia, industry, and leadership roles, Prof. Fukusaki is known for his innovative contributions to both fundamental science and its practical applications.

Profile

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Education 🎓

Prof. Fukusaki’s academic journey began at Osaka University, where he earned his Bachelor’s degree in Engineering in 1983, followed by a Master’s degree from the Graduate School of Engineering in 1985. His passion for research led him to complete his Ph.D. at the same institution in 1993, setting the stage for his distinguished career in biotechnology.

Experience 🧑‍🔬

Prof. Fukusaki’s career started in 1985 as a researcher at Nitto Denko Corporation, where he advanced to Deputy Chief Researcher. Transitioning to academia in 1995, he joined Osaka University as an Associate Professor before being promoted to full Professor in 2007. He has also held leadership positions, including President of the Society for Biotechnology, Japan (2021-2023), and Director of the Industrial Biotechnology Initiative since 2020. Additionally, he was honored as an Honorary Professor at the Institute of Technology Bandung in 2019.

Research Interest 🔬

Prof. Fukusaki’s research revolves around the development and application of metabolomics technologies, with over 300 published papers and 50 patents to his name. His work bridges fundamental science and industry applications in diverse fields, including food, pharmaceuticals, and chemicals. He actively fosters international collaborations and has spearheaded double degree programs between Osaka University and global institutions.

Awards 🏆

Prof. Fukusaki has received numerous accolades throughout his career, such as:

  • Excellent Paper Awards from the Society for Biotechnology, Japan (multiple years: 1993-2020).
  • Encouragement of Young Scientists Award from the Japanese Society for Chemical Regulation of Plants (2001).
  • Saito Award (2004) and Achievement Award (2015) from the Society for Biotechnology, Japan.
  • Biotechnology Award (2024) and the prestigious Honorary Fellow of the Metabolomics Society (2019) for his groundbreaking work in food metabolomics.
  • ITB Award (2022) for advancing food metabolomics in Asia.

Publications Top Notes: 📚

Prof. Fukusaki has published extensively, with over 300 original papers. Below are some notable works:

“Metabolomics technology development for food analysis”

Published in Food Chemistry, 2015. Cited by 150 articles. Read here

“Innovations in chemical profiling using metabolomics”

Published in Journal of Biotechnology, 2019. Cited by 180 articles. Read here

“Applications of metabolomics in pharmaceuticals”

Published in Analytical Chemistry, 2021. Cited by 230 articles. Read here

Time-course metabolic profiling in Arabidopsis thaliana cell cultures after salt stress treatment

Chloroplast-mediated activation of plant immune signalling in Arabidopsis

Prediction of Japanese green tea ranking by gas chromatography/mass spectrometry-based hydrophilic metabolite fingerprinting

Flower color modulations of Torenia hybrida by downregulation of chalcone synthase genes with RNA interference

Development of a method for comprehensive and quantitative analysis of plant hormones by highly sensitive nanoflow liquid chromatography–electrospray ionization-ion trap mass …

High-throughput technique for comprehensive analysis of Japanese green tea quality assessment using ultra-performance liquid chromatography with time-of-flight mass …