Greice Cristina Mariano

Greice earned her PhD and Master of Science degrees in Computer Science in 2018 and 2013, respectively, under the supervision of Professor Ricardo Torres at Institute of Computing (IC) from University of Campinas (UNICAMP) in Campinas, Sao Paulo State, Brazil. She also conclude a specialization in health informatics at the Federal University of Sao Paulo (UNIFESP), Brazil in 2010 and graduated in Information Technology also at University of Campinas (UNICAMP) in 2009. During her PhD she worked on the specification and implementation of information visualization techniques to identify cyclical patterns in multidimensional and multivariate temporal data. As motivation and case study, Greice used environmental data, more specifically, plant phenological data produced in the context of the e-phenology Project (http://wwww.recod.ic.unicamp.br/ephenology). As a complement of her doctorate, during six months (from November 2017 to April 2018), she received a scholarship from Canada as a Emerging Leader in the Americas Program (ELAP), and had the opportunity to meet and work at VAL Lab in OCAD University, Toronto, Ontario, as an international visiting research, where she worked on two projects developing visualization design approaches under the supervision of Dr. Sara Diamond. In her master?s research, Greice worked on the specification and implementation of the data model of the database created for the e-phenology Project. The devised data model integrates heterogeneous temporal data, associated with vegetation images, plant phenology observations, and climate information.Greice also has experience in software development, as well as, system information with emphasis in corporate web applications. Currently, she is postdoctoral researcher fellow back at VAL, and have been working on the development of visualizations for urban informatics problems. Her main research interests are related to phenology visualization, multidimensional and multivariate temporal data visualization, data science, visual analytics tools, image processing, remote sensing, software engineering and database development. (Source: Lattes Curriculum)