Alexandre Xavier FalcaoAlexandre Xavier Falcao 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. inElectrical 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
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 top level research fellow at the 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 the several awards he received over the years, it is worth mentioning three Unicamp inventor
awards at the category "License Technology" (2011, 2012, and 2020),
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. Read More Read Less