Jan Bocianowski | Biometry | Research Excellence Award

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Prof. Dr. Jan Bocianowski | Biometry | Research Excellence Award

Poznan University of Life Sciences, Poland

Prof. Dr. Jan Bocianowski is a distinguished scholar in agricultural sciences with a strong foundation in mathematics and computer science, having earned his Master of Science from Adam Mickiewicz University in Poznań with a thesis on combinatorial BIB systems, and a vocational background as a Mechanical Technician specializing in automation and mechanization of metallurgical processes. He obtained his Doctor of Agricultural Sciences in Agronomy from the Institute of Plant Genetics, Polish Academy of Sciences, and later achieved habilitation in agricultural sciences with specialization in biometry at Poznań University of Life Sciences, focusing on methods for estimating effects of non-allelic loci interaction based on phenotypic and molecular data. In 2025, he was appointed Professor of Agricultural Sciences in the discipline of Agriculture and Horticulture and has been serving at the Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, in various roles since 1998, progressing from assistant to full professor. He has authored or co-authored 571 scientific publications, including 357 on the Philadelphia List, contributed to 240 national and international conference reports, participated in over 100 seminars and conferences, and serves as editor in 22 scientific journals, being recognized six times since 2020 among the top 2% most cited scientists worldwide. His teaching experience spans from specialized courses in experimental design and plant genetics to tutorials in mathematics, IT, and applied computer science for students across diverse fields such as Food Technology, Biotechnology, Agriculture, and Environmental Protection. Prof. Bocianowski has undertaken numerous scholarships and research internships internationally, including in Italy, Norway, and Croatia, and has received multiple awards for scientific achievements from the Rector of Poznań University of Life Sciences. He has been actively involved in organizing scientific seminars and conferences, serving on scientific and faculty councils, recruitment and electoral committees, and national research program teams. His international engagement includes membership in advisory committees such as the IEECP Conference in Silicon Valley and active participation in the Scientific Committee of symposiums on quantitative genetics and crop breeding. He also holds leadership roles in strategic and disciplinary scientific councils, contributing to the advancement of agriculture and horticulture research and education, reflecting a career that integrates high-level scientific research, teaching, organizational service, and international collaboration.

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Prof. Ping-Feng Xu | Mathematical Statistics | Best Researcher Award

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Prof. Ping-Feng Xu | Mathematical Statistics | Best Researcher Award

Northeast Normal University, China.

Ping-Feng Xu is the Deputy Dean at Northeast Normal University, specializing in complex network analysis, graphical models, causal inference, educational statistics, and psychological measurement. He earned his degree in Probability Theory and Mathematical Statistics from Northeast Normal University in 2010. He has held visiting positions at Hong Kong Baptist University, University of Wisconsin-Madison, Hang Seng School of Management, and Hang Seng University of Hong Kong. With a strong research background, he has contributed significantly to structural learning, latent variable selection, and high-dimensional graphical models.

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Education 🎓

Prof. Ping-Feng Xu completed his undergraduate studies at Northeast Normal University in 2010, where he majored in Probability Theory and Mathematical Statistics. Following his academic foundation, he expanded his research and professional experience through visiting scholar positions at several prestigious institutions. These include Hong Kong Baptist University, where he gained insights into advanced statistical methods, University of Wisconsin-Madison, which enhanced his expertise in complex network analysis, Hang Seng School of Management in Hong Kong, and Hang Seng University of Hong Kong, where he collaborated on projects involving educational statistics and causal inference.

Experience 🏫

Prof. Ping-Feng Xu currently serves as the Deputy Dean at Northeast Normal University, where he plays a key role in academic leadership and research direction. His professional contributions extend beyond the university, as he holds influential positions in major academic organizations. Since April 2023, he has been the Vice Chairman of the Education Statistics and Management Branch of the Chinese Society of Applied Statistics, where he helps shape the development of statistical education in China. Additionally, he has served as the Executive Director of the Data Science and Artificial Intelligence Branch of the same society since March 2018, working to promote the integration of data science and AI in applied statistics.

Research Interests 🔬

Complex Network Analysis

Graphical Models

Causal Inference

Educational Statistics

Psychological Measurement

Awards & Recognitions 🏆

Vice Chairman, Education Statistics and Management Branch, Chinese Society of Applied Statistics

Executive Director, Data Science and Artificial Intelligence Branch, Chinese Society of Applied Statistics

Selected Publications 📚

The Improved EMS Algorithm for Latent Variable Selection in M3PL Model
Applied Psychological Measurement (2025)
Contributors: Laixu Shang, Ping-Feng Xu, Na Shan, Man-Lai Tang, Qian-Zhen Zheng

Fitting Penalized Estimator for Sparse Covariance Matrix with Left-Censored Data by the EM Algorithm
Mathematics (2025)
Contributors: Shanyi Lin, Qian-Zhen Zheng, Laixu Shang, Ping-Feng Xu, Man-Lai Tang

Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models
Journal of Educational and Behavioral Statistics (2024)
Contributors: Na, Ping-Feng Xu

A Generalized Expectation Model Selection Algorithm for Latent Variable Selection in Multidimensional Item Response Theory Models
Statistics and Computing (2024)
Contributors: Laixu Shang, Qian-Zhen Zheng, Ping-Feng Xu, Na Shan, Man-Lai Tang

Transmission Mechanisms of Geopolitical Risks to the Crude Oil Market—A Pioneering Two-Stage Geopolitical Risk Analysis Approach
Energy (2023)
Contributors: Jing-Wen Jiao, Jun-Ping Yin, Ping-Feng Xu, Juan Zhang, Yuan Liu