Parallel software architecture for the next generation of glucose monitoring. - Tomas Koutny; Martin Ubl (EUSPN/ICTH, 2018)

SmartCGMS as an Environment for an Insulin-Pump Development with FDA-Accepted In-Silico Pre-Clinical Trials. - Martin Ubl; Tomas Koutny (EUSPN/ICTH, 2019)

Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels. - Tomas Koutny; Martin Ubl; Ivan De Falco; Ernesto Tarantino; Umberto Scafuri; Antonio Della Cioppa; Michal Krcma (ISCC, 2019)

SmartCGMS as a Testbed for a Blood-Glucose Level Prediction and/or Control Challenge with (an FDA-Accepted) Diabetic Patient Simulation. - Tomas Koutny; Martin Ubl (EUSPN/ICTH, 2020)

Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Umberto Scafuri; Ernesto Tarantino; Martin Ubl (ISCC, 2021)

A Novel Approach to Multi-Compartmental Model Implementation to Achieve Metabolic Model Identifiability on Patient's CGM Data. - Martin Ubl; Tomas Koutny (EUSPN/ICTH, 2022)

An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Umberto Scafuri; Ernesto Tarantino; Martin Ubl (ISCC, 2022)

Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment. - Martin Ubl; Tomas Koutny; Antonio Della Cioppa; Ivanoe De Falco; Ernesto Tarantino; Umberto Scafuri (Sensors, 2022)

Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes. - Antonio Della Cioppa; Ivan De Falco; Tomas Koutny; Umberto Scafuri; Martin Ubl; Ernesto Tarantino (Appl. Soft Comput., 2023)

A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Martin Ubl; Michal Krcma; Umberto Scafuri; Ernesto Tarantino (Sensors, 2023)

Online Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition. - Tomas Koutny; Martin Ubl (CBMS, 2025)