Team
We are a heterogeneous team to cover all the tasks of medical informatics. In our team, there are physicians, experts on modelling and simulation, data processing, visualizations, databases, programmers, and talented bachelor, master and doctoral students.
doc. Ing. Tomáš Koutný, Ph.D.
txkoutny@kiv.zcu.cz +420 37763 2437
Tomas is the project founder and its general director. He is the author of the diffusion model of glucose dynamics and principal architect of the SmartCGMS system. He is focused on modelling glucose metabolism and transport, from measuring glucose level to its regulation. In addition, he has a strong background in applied mathematics, heterogeneous computing and fail-safe systems, all complemented with the required medical knowledge.
MUDr. Michal Krčma, Ph.D.
He is focused on prevention, diagnostics and therapy of Diabetes mellitus, metabolic and endocrinal diseases. He is head of the 1st Department of Internal Medicine at the Faculty Hospital in Pilsen, Charles University in Prague.
Ing. Martin Úbl
ublm@kiv.zcu.cz +420 37763 2453
He specializes in the development of Smart CGMS software stack. His research is focused on mathematical models of human metabolism and diabetes mellitus treatment. He is also the lead developer of this portal.
Ing. Bc. Zuzana Majdišová, Ph.D.
majdisz@kiv.zcu.cz +420 37763 2494
She completed her Ph.D. study in 2020, in the field of numerical analysis. Now, she specializes in the development of the Icarus game. Her research is focused on the player education.
Ing. Maxmilián Otta, Ph.D.
maxmilio@kiv.zcu.cz +420 37763 2476
After spending 15 years as a full-stack developer and software architect in international companies, Max returned back to the Department of computer science and engineering, Faculty of applied Sciences, University of West Bohemia in 2021. He has an expert knowledge about database design, backend and frontend development, distributed systems and modern cloud technologies. He joined the team in 2022 to support the design and development of a newly emerging platform for medical devices management.
Ing. Jana Varnušková, Ph.D.
hajkovaj@kiv.zcu.cz +420 37763 2434
Since 2006, she is with the Department of computer science and engineering, Faculty of applied Sciences, University of West Bohemia. She deals with modelling, simulation, visualization and medical informatics.
prof. Antonio Della Cioppa, Ph.D.
Antonio is scientific coordinator of the project. He is with the Natural Computation Lab, Department of Information Engineering, Electrical Engineering and Applied Mathematics, University of Salerno, where he is currently Assistant Professor of Computer Science and Artificial Intelligence. He is active in the fields of Bio-inspired Artificial Intelligence, Inductive Inference and Machine Learning, including Evolutionary Computation, Neural Networks, Genetic Programming, Swarm Intelligence and Complex Systems. He is member of the Association for Computing Machinery (ACM), of the International Society for Genetic and Evolutionary Computation (ACM’s SIG-EVO) and of the Editorial Board of Applied Soft Computing Journal (Elsevier).
Ivanoe De Falco, Ph.D.
He is a senior researcher at the Institute for High-Performance Computing and Networking (ICAR) of the National Research Council of Italy (CNR), where he is the Responsible of the Computational Intelligence Laboratory (CILab), and serves in the Institute Management Board. His main fields of interest include Computational Intelligence, with particular attention to Evolutionary Computation and Neural Networks, and Parallel Computing, and their application to real-world problems, especially in the medical domain. He is a member of the World Federation on Soft Computing (WFSC), and is an Associate Editor of Applied Soft Computing Journal (Elsevier).
Ernesto Tarantino, Ph.D.
Ernesto Tarantino is currently a researcher at National Research Council of Italy. His research interests are in the field of theory and application of evolutionary techniques and related areas of computational intelligence, and parallel computing. He is author of numerous scientific papers in international conferences and journals. He is part of several program committees of conferences in the area of evolutionary computation.
Umberto Scafuri, Ph.D.
umberto.scafuri@na.icar.cnr.it
Umberto Scafuri works as a technologist at the Institute of High Performance Computing and Networking (ICAR) of the National Research Council of Italy (CNR). His research activity is basically devoted to the use of parallel and distributed architectures in the field of evolutionary models for computational intelligence.
doc. Michael Mayo, Ph.D.
Michael is a staff member of both the Department of Computer Science and the Te Ipu o te Mahara Artificial Intelligence Institute, at the University of Waikato, New Zealand. His research interests include artificial intelligence and machine learning with applications including continuous glucose monitoring, diabetes technology and ophthalmology.
Publications
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DELLA CIOPPA, A.,
DE FALCO, I.,
KOUTNÝ, T.,
SCAFURI, U.,
ÚBL, M.,
TARANTINO, E.
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Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes,
Applied Soft Computing, Volume 134, article 110012, 2023
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ÚBL, M.,
KOUTNÝ, T.,
DELLA CIOPPA, A.,
DE FALCO, I.,
TARANTINO, E.,
SCAFURI, U.
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Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment,
Sensors 2022, Volume 22 (23), article 9445, 2022
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ÚBL, M.,
KOUTNÝ, T.
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A Novel Approach to Multi-Compartmental Model Implementation to Achieve Metabolic Model Identifiability on Patient’s CGM Data, Procedia Computer Science, Volume 210, pp. 116-123, 2022
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OTTA, M.
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Towards a Health Software Supporting Platform for Wearable Devices, Procedia Computer Science, Volume 210, pp. 112-115, 2022
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DE FALCO, I.,
DELLA CIOPPA, A.,
KOUTNÝ, T.,
SCAFURI, U.,
TARANTINO, E.,
ÚBL, M.
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An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models,
2022 IEEE Symposium on Computers and Communications (ISCC). Greece: IEEE Xplore Conference Publishing, pp. 1-6, 2022
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KOUTNÝ, T.,
MAYO, M.
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Predicting glucose level with an adapted branch predictor,
Computers in Biology and Medicine, Volume 145, 2022
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KOUTNÝ, T.
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Physiological reconstruction of blood glucose level using CGMS-signals only,
Scientific Reports, Nature Publishing Group, Volume 12, pp. 1-11, 2022
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DE FALCO, I.,
DELLA CIOPPA, A.,
KOUTNÝ, T.,
SCAFURI, U.,
TARANTINO, E.,
ÚBL, M.
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Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models,
2021 IEEE Symposium on Computers and Communications (ISCC). Greece: IEEE Xplore Conference Publishing, pp. 1-6, 2021
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DE FALCO, I.,
SCAFURI, U.,
TARANTINO, E.,
DELLA CIOPPA, A.,
KOUTNÝ, T.,
KRČMA, M.
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A Grammatical Evolution Approach for Estimating Blood Glucose Levels,
2020 IEEE Globecom. USA: IEEE Xplore Conference Publishing, pp. 1-6, 2020
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MAYO, M.,
KOUTNÝ, T.
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Neural Multi-class Classification Approach to Blood Glucose Level Forecasting with Prediction Uncertainty Visualisation,
The 5th International Workshop on Knowledge Discovery in Healthcare Data (KDH), Volume 2675, pp. 80-84, 2020
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KOUTNÝ, T.,
ÚBL, M.
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SmartCGMS as a Testbed for a Blood-Glucose Level Prediction and/or Control Challenge with (an FDA-Accepted) Diabetic Patient Simulation, Procedia Computer Science, Volume 177, pp. 354-362, 2020
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ÚBL, M.,
KOUTNÝ, T.
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SmartCGMS as an Environment for an Insulin-Pump Development with FDA-Accepted In-Silico Pre-Clinical Trials, Procedia Computer Science, Volume 160, pp. 322-329, 2019
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DE FALCO, I.,
DELLA CIOPPA, A.,
GIUGLIANO, A.,
MARCELLI, A.,
KOUTNÝ, T.,
KRČMA, M.,
SCAFURI, U.,
TARANTINO, E.
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A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their derivatives, Applied Soft Computing, 2019, Volume 77, pp. 316-328.
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KOUTNÝ, T.,
ÚBL, M.,
DE FALCO, I.,
TARANTINO, E.,
SCAFURI, U.,
DELLA CIOPPA, A.,
KRČMA, M.
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Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels,
2019 IEEE Symposium on Computers and Communications (ISCC), Greece: IEEE Xplore Conference Publishing, pp. 1056-1061, 2019
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KOUTNÝ, T.,
ÚBL, M.
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Parallel software architecture for the next generation of glucose monitoring, Procedia Computer Science, Volume 141C, pp. 279-286, 2018
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DE FALCO, I.,
DELLA CIOPPA, A.,
KOUTNÝ, T.,
KRČMA M.,
SCAFURI U.,
TARANTINO E.
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Genetic Programming-based Induction of a Glucose-Dynamics Model for Telemedicine, Journal of Network and Computer Applications, Volume 119, pp. 1-13, 2018
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KOUTNÝ, T.,
ŠIROKÝ, D.
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Analyzing Energy Requirements of Meta-Differential Evolution for Future Wearable Medical Devices, World Congress on Medical Physics and Biomedical Engineering, Prague, 2018
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DE FALCO, I.,
DELLA CIOPPA, A.,
KOUTNÝ, T.,
KRČMA M.,
SCAFURI U.,
TARANTINO E.,
GIUGLIANO, A.
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An evolutionary methodology for predicting blood glucose levels from interstitial glucose measurements and their derivatives, IEEE Symposium on Computers and Communications, 2018, Natal
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DE FALCO, I.,
DELLA CIOPPA, A.,
KOUTNÝ, T.,
KRČMA M.,
SCAFURI U.,
TARANTINO E.
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An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements, Proceedings of the Joint Conference of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, January 9 - 21, 2018, Madeira, Portugal
- KOUTNÝ, T.
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Crosswalk - a time-ordered metric, Proceedings of the Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), June 11 - 15, 2017, Tampere, Finland
- KOUTNÝ, T.
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Modelling of Glucose Dynamics for Diabetes, Proceedings of 5th International Work-Conference on Bioinformatics and Biomedical Engineering, April 26 - 28, 2017, Granada, Spain
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KOUTNÝ, T.,
KRČMA M.,
KOHOUT J.,
JEŽEK P.,
VARNUŠKOVÁ J.,
VČELÁK P.,
STRNÁDEK J.
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On-line blood glucose level calculation, Procedia Computer Science, Volume 98, pp. 228-235, 2016
- KOUTNÝ, T.
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Using meta-differential evolution to enhance a calculation of a continuous blood glucose level, Computer Methods and Programs in Biomedicine, August 2016, Volume 133, pp. 45 - 54
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STRNÁDEK J.,
KOUTNÝ, T.,
KOHOUT J.
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Introducing the effect of aging into the Honey Bee Mating Optimization to determine parameters or blood glucose level calculation, Proceedings of the 9th International Conference on Human System Interaction, Portsmouth, United Kingdom, 2016
- KOUTNÝ, T.
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Blood glucose level reconstruction as a function of transcapillary glucose transport, Computers in Biology and Medicine, October 2014, Volume 53, pp. 171-178
- KOUTNÝ, T.
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Blood glucose level reconstruction using values of continuous glucose level measuring in subcutaneous tissue. Presented at 18th congress on Technologies in diabetology, Darova, Czech Republic, 2014
- KOUTNÝ, T.
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Experience with Lamport Clock Ordered Events with Intel Threading Building Blocks in a Glucose-Level Prediction Software, Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, Granada, Spain, 2014
- KOUTNÝ, T.
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Glucose Predictability, blood capillary permeability, and glucose utilization rate in subcutaneous, skeletal muscle, and visceral fat tissues. Computers in Biology and Medicine, November 2013, Volume 43, pp. 1680-1686
- KOUTNÝ, T.
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Gluocose-Level Interpolation for Determining Glucose Distribution Delay, Proceedings of XIII Mediterranean Conference on Medical and Biological Engineering and Computing, Sevilla, Spain, 2013
- KOUTNÝ, T.
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Prediction of interstitial glucose level. IEEE Transactions on Information Technology in Biomedicine, January 2012, vol. 16, is. 1, pp. 136 – 142
- KOUTNÝ, T.
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Estimating Reaction Delay for Glucose Level Prediction, Medical Hypotheses, Volume 77, Issue 6, pp. 1034-1037, 2011
- KOUTNÝ, T.
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Modeling of Compartment Reaction Delay and Glucose Travel Time through Interstitial Fluid in Reaction to a Change of Glucose Concentration, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, Corfu, Greece, 2010