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Lucian Mihai Itu Head of Algorithmics team (part of the Image Fusion and Analytics group) at Siemens SRL Corporate Technology
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Alexandru Scafa Udriste is Assistant Professor at the ”Carol Davila” University of Medicine and Pharmacy and Senior Cardiologist at the Emergency Hospital Bucharest. He graduated in 2000 and received her PhD from ”Carol Davila” University of Medicine and Pharmacy in 2009 on the acute syndrome of myocardial reperfusion injury. His research interest are: improving outcomes in patients with acute coronary syndromes, devices in medicine, and novel imaging techniques in cardiovascular diseases. He published 31 scientific papers in national and international journals and conferences and 7 books.
Lucian Mihai Itu (male), is the research group head of the Algorithmics team (part of the Image Fusion and Analytics group) at Siemens SRL Corporate Technology. He received the Dipl.-Eng. degree in Systems Engineering from the Transilvania University of Brasov in 2009 and the PhD degree in Systems Engineering in 2013 after having collaborated with Siemens Corporate Research, Princeton, USA during the doctoral studies. He has participated in and coordinated numerous European, National and Industry funded R&D projects. His research interests are: artificial intelligence with focus on machine learning, computational modeling of the human physiology with focus of the coronary circulation, and high performance computing. He has published over 50 papers in various international journals and conferences. He is joint author of 30 international patent applications.
Leif Rune Hellevik (male), PI, is Vice dean for the master education and professor of biomechanics in the Department of Structural Engineering, Faculty of Engineering. Since 2011, a primary focus of Prof. Hellevik’s research has been the development of STARFiSh. Furthermore, Prof. Hellevik is heading the NTNU Physiome initiative – one of the R&D streams organized under NTNU Biotechnology – the Confluence of Life Sciences, Mathematical Sciences and Engineering, which is one of the three enabling technology programs at the Norwegian University of Science and Technology. He is also heading the NTNU intitiative IKTiSU, to promote the use of numerical methods and ICT in general in the enginering education at NTNU. From June 2018 he is Co-leaded for the project MyMDT – A Digital Twin for Essential Hypertension Management and Treatment – My Medical Digital Twin – together with another 5 top researchers from NTNU. By a novel combination of worldclass exercise, hypertension-, mathematical modelling-, machine learning-, statistical-, biosensor-, genetic epidemiology- and population based research the goal is to develop a personalized Medical Digital Twin (MyMDT) that serve as a transformative platform for patient specific hypertensive
intervention. The research team works closely with the Faculty of Medicine and Health Sciences that is fully integrated with St. Olav University Hospital and has an integrated practice, which provides convenient access to patients and locations for running clinical research studies. Prof. Hellevik’s main research and scientific interests are: biomechanics of the cardiovascular system, wave propagation phenomena in the cardiovascular system, biomechanical application of fluid-structure interaction approaches, mathematical modelling, scientific computing. He has published over 50 papers in various international journals and conferences.
Leif Rune Hellevik (male), PI, is Vice dean for the master education and professor of biomechanics in the Department of Structural Engineering, Faculty of Engineering. Since 2011, a primary focus of Prof. Hellevik’s research has been the development of STARFiSh. Furthermore, Prof. Hellevik is heading the NTNU Physiome initiative – one of the R&D streams organized under NTNU Biotechnology – the Confluence of Life Sciences, Mathematical Sciences and Engineering, which is one of the three enabling technology programs at the Norwegian University of Science and Technology. He is also heading the NTNU intitiative IKTiSU, to promote the use of numerical methods and ICT in general in the enginering education at NTNU. From June 2018 he is Co-leaded for the project MyMDT – A Digital Twin for Essential Hypertension Management and Treatment – My Medical Digital Twin – together with another 5 top researchers from NTNU. By a novel combination of worldclass exercise, hypertension-, mathematical modelling-, machine learning-, statistical-, biosensor-, genetic epidemiology- and population based research the goal is to develop a personalized Medical Digital Twin (MyMDT) that serve as a transformative platform for patient specific hypertensive
intervention. The research team works closely with the Faculty of Medicine and Health Sciences that is fully integrated with St. Olav University Hospital and has an integrated practice, which provides convenient access to patients and locations for running clinical research studies. Prof. Hellevik’s main research and scientific interests are: biomechanics of the cardiovascular system, wave propagation phenomena in the cardiovascular system, biomechanical application of fluid-structure interaction approaches, mathematical modelling, scientific computing. He has published over 50 papers in various international journals and conferences.