We are a heterogeneous team to cover all the taks of medical informatics. In our team, there are physicians, experts on modelling and simulation, data proecessing, visualizations, databases, programmers, and talented bachelor, master and doctoral students.
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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.
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.
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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.
email@example.com +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 eduction.
firstname.lastname@example.org +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.
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).
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 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 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.
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.