Dr. Eng. Agnieszka Kujawińska has been affiliated with the Poznan University of Technology (PUT) since 1995. She holds an M.Sc. in Mathematics (Statistics) and a Ph.D. in Mechanical Engineering (2007) focused on pattern recognition in SPC. Since 2006, she has lectured at the Dept. of Production Management and Engineering, teaching data analysis, SPC, decision-making, and DOE. Her research combines mathematics, statistics, and production engineering, with emphasis on data-driven quality improvement, reliability analysis, and digital transformation. She is the author or co-author of over 120 publications and four books, including Mathematical Statistics (2010), Decisions and Marketing Games (2010), and Springer’s Advances in Manufacturing II (2019, 2024). She has participated in 16 national and EU R&D projects (BIOSTRATEG, WoodINN, SMART FENG, EraNet), leader of two. She collaborates closely with industry and promotes the integration of statistical methods into smart production systems. A member of ENBIS, PTZP, and the Polish Grey Systems Society, she has presented her work across Europe, the U.S., and Asia. Research interests: data science, quality and reliability engineering, statistical process control, grey system theory, decision support, digital twin, Industry 4.0, cyber-physical systems, adaptive planning, sustainable manufacturing.