Prof. Alejandro F Frangi
IEEE Fellow & SPIE Fellow
The University of Manchester, UK
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 characterization 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 Center Utrecht on
model-based cardiovascular image analysis.
During this period he was visiting
researcher at the Imperial College in
London, UK, and at Philips Medical Systems
BV, The Netherlands.
Prof Frangi is the Bicentennial Turing Chair
in Computational Medicine at the University
of Manchester, Manchester, UK, with joint
appointments at the Schools of Computer
Science and Health Science. He is also the
Royal Academy of Engineering Chair in
Emerging Technologies, with a focus on
Precision Computational Medicine for in
silico trials of medical devices. His
research vision was recently awarded an
Advanced Grant from the European Research
Council under the Computer Science and
Informatics (PE6) panel. He is an Alan
Turing Institute Fellow. Since 2001, he has
founded and directed 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). At the national level, Prof
Frangi leads InSilicoUK Innovation Network,
spearheading in silico methods as a source
of regulatory evidence and accelerated
innovation in the life sciences sector.
Prof. Frangi is among the top 90 Computer
Scientists in the UK, edited several books,
published seven editorial articles and more
than 285 journal articles in key
international journals of his research
field, and more than 200 book chapters and
international conference articles with an
h-index 74 and more than 32600 citations
according to Google Scholar. He has been
three times Guest Editor of special issues
of IEEE Trans Med Imaging, one of IEEE Trans
Biomed Eng, and one of Medical Image
Analysis journals. He was chair of the Third
International Conference on Functional
Imaging and Modelling of the Heart (FIMH05)
held in Barcelona in June 2005, Publications
Chair of the IEEE International Symposium in
Biomedical Imaging (ISBI 2006), Programme
Committee Member of various editions of the
Intl Conf on Medical Image Computing and
Computer Assisted Interventions (MICCAI)
(Brisbane, AU, 2007; Beijing CN, 2010;
Toronto CA 2011; Nice FR 2012; Nagoya JP
2013), International Liaison of ISBI 2009,
Tutorials Co-Chair of MICCAI 2010, and
Programme Co-chair of MICCAI 2015. He was
also the General Chair for ISBI 2012, held
in Barcelona, MICCAI 2018, held in Granada,
Spain, and Information Processing in Medical
Imaging (IPMI) 2023 in Bariloche, Argentina.
Prof. Lin Zhang
SCS Fellow
Beihang University, China
Lin Zhang, is a professor of Beihang University. He received the B.S. degree in 1986 from the Department of Computer and System Science at Nankai University, China. He received the M.S. degree and the Ph.D. degree in 1989 and 1992 from the Department of Automation at Tsinghua University, China. From 2002 to 2005 he worked at the US Naval Postgraduate School as a senior research associate of the US National Research Council. He served as the President of the Society for Modeling and Simulation International (SCS), the executive vice president of China Simulation Federation (CSF). He is currently the president of Federation of Asian Simulation Societies (ASIASIM), a Fellow of SCS, ASIASIM and CSF, a chief scientist of the National 863 Program and National Key R&D Program of China. He serves as the Director of Engineering Research Center of Complex Product Advanced Manufacturing Systems, Ministry of Education of China, Editor-in-Chief and associate editors of 8 peer-reviewed international journals. He authored and co-authored more than 300 papers, 20 books and chapters, among Clarivate Highly Cited Researchers in cross-field. He received the National Award for Excellent Science and Technology Books, the Outstanding Individual Award of National High-Tech R&D Program, the National Excellent Scientific and Technological Workers Awards, and the SCS Outstanding Professional Contribution Award. His research interests include service-oriented modeling and simulation, cloud manufacturing and simulation, model engineering, model based system engineering, cyber-physical systems, M&S for manufacturing systems, etc.
Prof.
Xiangjian He
University of Nottingham Ningbo China, China
Professor
Xiangjian (Sean) He is a National Talent of
China with a Chair Professor title, and in
list of the 'World Top 2% Scientists'
reported by Stanford University in 2022,
2023, etc. He is currently the Deputy Head
of Computer Science School, the Lead of
Research Groups of the Faculty of Science
and Engineering and the Director of Computer
Vision and Intelligent Perception Laboratory
at the University of Nottingham, Ningbo,
China (UNNC).
He was the Professor of Computer Science and
the Leader of Computer Vision and Pattern
Recognition Laboratory at the Global Big
Data Technologies Centre (GBDTC) at the
University of Technology Sydney (UTS) from
2011-2022. He led the UTS and Hong Kong
Polytechnic University (PolyU) joint
research project teams winning the 1st
Runner-Up prize for the 2017 VIP Cup, and
the champion for the 2019 VIP Cup, awarded
by IEEE Signal Processing Society.
He has been carrying out research mainly in
the areas of computer vision, data analytics
and machine learning in the previous years.
He has recently been leading his research
teams for deep-learning-based research for
various applications. He has played various
chair roles in many international
conferences such as ACM MM, MMM, ICDAR, IEEE
BigDataSE, IEEE BigDataService, IEEE
TrustCom, IEEE CIT, IEEE AVSS, IEEE ICPR and
IEEE ICARCV.