Alejandro F Frangi

Release time:2021-10-20Viewed:256

Brief CV:

EAMBES FellowIEEE FellowSPIE Fellow


Alejandro (Alex) was born in La Plata, Argentina. In 1991, he moved to Barcelona, Spain, where he obtained his undergraduate degree in Telecommunications Engineering from the Technical University of Catalonia (Barcelona) in 1996. Then he carried out research on electrical impedance tomography for image reconstruction and noise characterisation at the same institution under a CIRIT grant. In 1997, he obtained a grant from the Dutch Ministry of Economic Affairs to pursue his PhD in Medicine at the Image Sciences Institute of the University Medical Centre Utrecht on model-based cardiovascular image analysis. During this period, he was visiting researcher at the Imperial College in London, UK, and in Philips Medical Systems BV, The Netherlands. Prof Frangi is Diamond Jubilee Chair in Computational Medicine at the University of Leeds, Leeds, UK, with joint appointments at the School of Computing and the School of Medicine. He is also Royal Academy of Engineering Chair in Emerging Technologies with a focus on Precision Computational Medicine for In Silico Trials of Medical Devices. He is the Scientific Director of the Leeds Centre for Responsive HealthTech Innovation, a joint initiative from the University of Leeds and the Leeds Teaching Hospitals NHS Trust. He leads the Centre for Computational Imaging and Simulation Technologies in Biomedicine. Prof Frangi has visiting positions at KU Leuven, the Cixi Institute of Biomedical Engineering, CNITECH Chinese Academy of Science (Ningbo), the Zhejiang University of Technology (Hangzhou), Shenzhen University (Shenzhen), and Beijing Institute of Technology (Beijing).


Research Interests:

Prof Frangi has main research interests lay at the crossroad of medical image analysis and modelling with emphasis on machine learning (phenomenological models) and computational physiology (mechanistic models). He has particular interest in statistical methods applied to population imaging and in silico clinical trials.


Publication: