Alexandre Xavier Falcao (lids.ic.unicamp.br) is a full professor at the Institute of Computing (IC), University of Campinas (Unicamp), where he has worked since 1998.
He attended the Federal University of Pernambuco from 1984-1988, where he got a B.Sc. in Electrical Engineering. He then attended Unicamp, where he got an M.Sc. (1993), and a Ph.D. (1996), in Electrical Engineering, by working on volumetric data visualization and medical image segmentation. During his Ph.D., he worked with the Medical Image Processing Group at the University of Pennsylvania from 1994-1996. In 1997, he developed video quality assessment methods for Globo TV. In 2011-2012, he spent a one-year sabbatical at the Robert W. Holley Center for Agriculture and Health (USDA, Cornell University), working on image analysis applied to plant biology.He served as Associate Director of IC-Unicamp (2006-2007), Coordinator of its Post-Graduation Program (2009-2011), and Senior Area Editor of IEEE Signal Processing Letters (2016-2020). He is currently a research fellow at the top level for the Brazilian National Council for Scientific and Technological Development (CNPq), President of the Special Commission of Computer Graphics and Image Processing (CEGRAPI) for the Brazilian Computer Society (SBC), and Area Coordinator of Computer Science for the Sao Paulo Research Foundation (FAPESP).
Among several awards, it is worth mentioning two Unicamp inventor awards at the category "License Technology" (2011 e 2012), three awards of academic excellence (2006, 2011, 2016) from IC-Unicamp, one award of academic recognition "Zeferino Vaz" from Unicamp (2014), and the best paper award in the year of 2012 from the journal Pattern Recognition (received at Stockholm, Sweden, during the conference ICPR 2014).
His research work aims at computational models to learn and interpret the semantic content of images in the domain of several applications. The areas of interest include image and video processing, data visualization, medical image analysis, remote sensing, graph algorithms, image annotation, organization, and retrieval, and (interactive) machine learning and pattern recognition.
Marleen de Bruijne is associate professor of medical image analysis at Erasmus MC Rotterdam, The Netherlands, and professor of medical image analysis at University of Copenhagen, Denmark. She received an MSc degree in physics (1997) and a PhD degree in medical imaging (2003) both from Utrecht University, The Netherlands. From 2003 to 2006 she was assistant professor and later associate professor at the IT University of Copenhagen, Denmark. Dr. De Bruijne has (co-)authored about 200 peer-reviewed full papers in international conferences and journals, holds 7 patents, and is the recipient of an NWO-VENI, NWO-VIDI, NWO-VICI, and DFF-YDUN award. She has (co)-supervised 26 PhD students. She will be a program chair of the international conferences MICCAI (2021) and MIDL (2020) and is a regular member of the program committee of MIDL, MICCAI, SPIE Medical Imaging, ISBI, and IPMI. She is a member of the MICCAI board, EMBS Technical Committee on Biomedical Imaging and Image Processing, the ISBI Steering Committee, the Information Processing in Medical Imaging (IPMI) board, and the editorial boards of Medical Image Analysis and Frontiers in ICT - Computer Image Analysis. Her research is in machine learning for quantitative image analysis and computer aided diagnosis in different application areas.