Jana Jurečková is Professor Emerita of Charles University in Prague, Czech Republic, where she worked in Department of Probability and Mathematical Statistics. Besides that she works as a Senior Research Fellow in the Institute of Information Theory and Automation, the Czech Academy of Sciences, since 2018. She received PhD in 1977 and the degreee DrSc in 1984 in Charles University in Prague; and is a elected member of the Learned Society of the Czech Republic, of ISI, and Fellow of IMS. As a Visiting Professor she worked in Bordeaux and Toulouse (France), in Neuchatel (Switzerland), in Chapel Hill (NC, USA). Besides that she had an intensive cooperation in Brussels (Belgium), in Ottawa (Canada), in Urbana-Champaign (Illinois, USA), in Freiburg (Germany), and elsewhere.
Her Fields of Interest: Analytical Statistics, Probability, Estimation and Hypotheses Testing, Robust and Nonparametric Statistical Methods, Extreme Value Theory. In this area she was an Advisor of 13 PhD students, worked in editorial boards of statistical journals and contributed to organizations of conferences. She is a coauthor of 4 monographs and of more than 160 journal publications, rather frequently cited.

Best Paper Award Winners

We would like to congratulate the following authors for winning the Best Paper Award:

• Dr. Svitlana Shvydka, Slovak University of Technology, Slovak Republic for the paper entitled: “Statistical Models with Interactions: Tools to Improve Empirical Analyses“
• Nicolò Biasetton, University of Padova, Italy for the paper entitled: “Large Language Model Application and Tuning For Product Analysis: A Preliminary Investigation“
• Akram Mahmoudi, Jönköping University, Sweden for the paper entitled:”Study Over Some Approaches in Formulating Optimal Designs“
• Dr. Szu-Chi Chung, National Sun Yat-sen University, Taiwan for the paper entitled:”A Novel Particle Picking Pipeline for Cryo-EM Using Semantic Segmentation and Conditional Random Field“
• Friederike Preuss, Institute for Statistics, University of Bremen, Germany for the paper entitled:”Nonstationarity of the Hemodynamic Response Function in Event Related Functional Magnetic Resonance Imaging“
• Greeshma Balabha, Stony Brook University, USA for the paper entitled:”Robust Shrinkage Estimator for Perturbed Covariance Matrices“
• Golnaz Shahtahmassebi, Nottingham Trent University, UK for the paper entitled:”An Analytical Expression for the Quotient of Odds Ratio with Applications to Cardiovascular Disease Risk“

ICSTA 2024 Conference Proceedings

Proceedings of the The 6^th International Conference on Statistics: Theory and Applications (ICSTA 2024) are open access. You can find them in the link below.

https://avestia.com/ICSTA2024_Proceedings/

ISBN: 978-1-990800-42-9
ISSN: 2562-7767

Hong Pan, a dedicated professional in data science and statistics, was born to a family of educators. He attended Shanghai Jiao Tong University, where he studied Biomedical Engineering, and then joined Purdue University in the U.S. for his PhD program in Electrical and Computer Engineering.
After obtaining his PhD, Hong first joined Cornell University Medical College as a faculty member, where he conducted and oversaw technical, analytic, and engineering aspects of human in vivo functional and molecular neuroimaging research and trained multidisciplinary students, research fellows, and clinician scientists; and then moved to Harvard Medical School as a faculty member where he further his invention to innovation technology transfer journey in data science applications for medical imaging.
For over 25 years, Hong has been a leader in data science efforts, serving as the subject matter expert on over 20 federal and institutional projects. His influence and impact in the field, particularly his expertise in AI/ML algorithms and advanced statistics, have been instrumental in developing statistical, data-driven diagnostic tools for guiding the treatment of brain disorders. He has created best practice approaches for optimized data acquisition, data science solutions for biomarker discovery, and automated analytics and informatics pipelines based on functional neuroimaging methodology. His work has resulted in 4 patents, a successful spin-out startup, and earned him the Mass General Brigham Excellence in Innovation Award twice and Brigham and Women’s Hospital’s Pillar Award in Research & Innovation, with over 60 journal publications, solidifying his professional standing in the field.
In 2023, Hong joined Simmons University, a women-focused liberal arts college in Boston, as a faculty member and started focusing on full-time teaching in statistics and data science.

The important dates and deadlines for the 7^th International Conference on Statistics: Theory and Applications (ICSTA 2025) are as follows: