User Portlet

I am Fellow of the Hellenic Complex Systems Laboratory (HCSL).

Established in 1993, Hellenic Complex Systems Laboratory (HCSL) is an innovative research laboratory dedicated to evaluating and reducing uncertainty in complex systems. Employing a transdisciplinary approach, HCSL develops novel clinical, laboratory, research, and educational tools to assess and address uncertainties inherent in complex processes. Our primary research areas are:

• Design, evaluation, and optimization of quality control (QC) in laboratory medicine.
• Measurement uncertainty evaluation and expression.
• Diagnostic accuracy assessment techniques.
• Application and methodology of Bayesian inference in medical diagnosis.

Additionally, HCSL explores network science, genetic algorithms (GAs), neural networks (NNs) and statistics of complexity.

Notable achievements include:

• 1993: Pioneered the GAs based design of statistical QC.
• 2009: Developed a theoretical framework and algorithm for optimizing statistical QC of an analytical process based on the reliability of the analytical system and the risk of analytical error.
• 2020: Developed a software tool for exploring the relation between diagnostic accuracy and measurement uncertainty.
• 2021: Introduced a method for estimating the uncertainty of diagnostic accuracy measures via uncertainty propagation rules.
• 2022: Designed one-dimensional convolutional NNs to be applied to QC samples of very small size.
• 2023: Developed a computational tool for parametric and nonparametric Bayesian medical diagnosis.
• 2024: Developed a software tool for parametric estimation of Bayesian diagnostic measures and their uncertainty.

HCSL has actively participated in standards-developing committees of the Clinical and Laboratory Standards Institute (CLSI). In addition, it has been a founding node of the Network of Excellence in Evolutionary Computing (Evonet) and a member organization of the Consortium for the Barcode of Life (CBOL).