Panagiotis Tsiamyrtzis
Professor
Politecnico di Milano & Athens University of Economics and Business
Italy / Greece
Panagiotis (Panos) Tsiamyrtzis is a Professor in the department of Mechanical Engineering, Politecnico di Milano, Italy and the department of Statistics at the Athens University of Economics and Business, Greece. He holds a BSc in Mathematics from the Aristotle University of Thessaloniki, Greece, and both MSc and PhD degrees in Statistics from the School of Statistics at University of Minnesota, USA. His research focuses primarily on Statistical Process Control and Monitoring (SPC/M), with an emphasis on the Bayesian perspective, as well as on statistical challenges in Additive Manufacturing and Affective Computing. He is a recipient of the “2024 Brumbaugh Award” from the American Society for Quality (ASQ), together with his co-authors. He currently serves as a member on the editorial board of the “Journal of Quality Technology” and “Quality Engineering”. His full list of publications is available on Google Scholar.
Topics
Bayesian statistics in laboratory QC; How to use knowledge from the past to predict the future?
Quality in Laboratory Medicine
Analytical Quality Control
5.2.2026 12:45 - 13:20 | Hall 208
How can quality control be effectively implemented in settings with limited data availability? Is it possible to conduct QC without a calibration phase while enabling real-time inference? This talk explores how the Bayesian paradigm offers a robust solution to these challenges, which often hinder traditional frequentist QC methods. By incorporating prior information through an axiomatic framework and employing sequential updates, Bayesian QC schemes offer a principled and interpretable approach that is both flexible and user-friendly. The talk will outline the foundational philosophy of the Bayesian approach and demonstrate its practical implementation through Predictive Control Charts (PCC), highlighting their advantages in dynamic monitoring scenarios.
