Assoc. Prof. Dr. Jicai Liu | Data Science | Women Researcher Award

Associate Professor | Shanghai Lixin University of Accounting and Finance | China

Jicai Liu is an Associate Professor of Statistics at the School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance, with a research focus on high-dimensional data, survival analysis, dimension reduction, and quantile regression. His academic journey includes advanced training in statistics and extensive teaching and research experience across leading institutions in China and collaborations abroad. He has contributed to the development of novel methodologies in statistical theory and applications, particularly in areas such as high-dimensional regression, nonparametric tests, hazards models, feature screening, clustering algorithms, and dimension reduction techniques. His publications appear in internationally recognized journals including Bernoulli, Science China Mathematics, Journal of Computational and Graphical Statistics, Journal of Multivariate Analysis, Computational Statistics and Data Analysis, and Statistics and Computing, among others. As corresponding author on multiple works, he has advanced methods for analyzing censored outcomes, martingale difference correlation, projection quantile correlation, and sufficient dimension reduction. His contributions also extend to robust estimation, survival models for multivariate failure time data, additive hazards models, and semi-supervised regression. Through his research, he has established a strong reputation in both theoretical developments and practical applications, providing statistical tools that address complex data structures and real-world problems. With 357 citations by 262 documents across 33 publications and an h-index of 10, he has demonstrated significant scholarly impact. In addition to his academic achievements, he has been engaged in collaborative projects with international partners and short-term academic visits, enriching his global perspective and research impact. His work continues to influence the fields of statistics and applied mathematics, contributing innovative approaches to modern statistical challenges and advancing the understanding of high-dimensional and survival data analysis.

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Featured Publications

Liu, J. (2022). Estimation under single-index hazards models: A new nonparametric extension of ANOVA via projection mean variance measure. Statistica Sinica.

Liu, J. (2022). K-CDFs: A nonparametric clustering algorithm via cumulative distribution function. Journal of Computational and Graphical Statistics.

Liu, J., Si, Y., Niu, Y., & Zhang, R. (2022). Projection quantile correlation and its use in high-dimensional grouped variable screening. Computational Statistics & Data Analysis, 107369.

Niu, Y., Zhang, R., Liu, J., & Li, H. (2020). Group screening for ultra-high-dimensional feature under linear model. Statistical Theory and Related Fields, 4(2), 120–132.

Zhang, Y., Liu, J., Wu, Y., & Fang, X. (2019). A martingale-difference-divergence-based estimation of central mean subspace. Statistics and Its Interface, 12(4), 571–584.

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.

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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.