User Portlet User Portlet

Aristeidis Chatzimichail
Aristeidis Chatzimichail
Hellenic Complex Systems Laboratory
LOCATION: Drama
BLOG: Not indicated
INTERESTS IN JOBS & NETWORKING: Not indicated
ABOUT ME:

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

Established in 1993, Hellenic Complex Systems Laboratory (HCSL) is an innovative research laboratory committed to the evaluation and management of uncertainty in complex systems. Through a transdisciplinary approach, HCSL develops clinical, laboratory, research, and educational tools to assess and address the uncertainty associated with complex processes. For more information on our work, please refer to HCSL publications and HCSL software.

Our primary research areas are:  a) The design, evaluation, and optimization of quality control (QC) in laboratory medicine.  b) Measurement uncertainty evaluation and expression.  c) Diagnostic accuracy assessment.  d) The application of Bayesian inference for medical diagnosis. We have also explored applications in network science, genetic search processes of genetic algorithms (GAs) and the statistics of complexity.

Notable achievements include:  a) In 1993, HCSL pioneered the GAs based design of statistical QC.  b) In 2009, we 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.  c) In 2021, HCSL introduced a method for estimating the uncertainty of diagnostic accuracy measures, utilizing uncertainty of measurement propagation.  d) In 2022, we designed one-dimensional convolutional neural networks (NNs) to be applied to QC samples of very small size.  e) In 2023, HCSL developed a computational tool for parametric and nonparametric Bayesian medical diagnosis.

We have actively participated in standards-developing committees of Clinical and Laboratory Standards Institute (CLSI). In addition, HCSL 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).