Sandra Gama
Professor and Researcher.
Visual arts enthusiast.


Research

The main research areas I'm involved are Information Visualization (InfoVis) and Human-Computer Interfaces (HCI) in general.
I've been involved in several research projects:

TreVi: Trend Visualization for Social Personal Information
Context: Nowadays we generate large amounts of information while socially interacting through computers. However, we may not have an idea of our own interaction patterns.
Goal: Create a visualization to highlight user patterns regarding social personal information.
Studying Color Blending for Information Visualization
Context: Nowadays we generate large amounts of information while socially interacting through computers. However, we may not have an idea of our own interaction patterns.
Goal: Create a visualization to highlight user patterns regarding social personal information.
Educare: Visualizing Educational Datamining Information
Context: Nowadays we generate large amounts of information while socially interacting through computers. However, we may not have an idea of our own interaction patterns.
Goal: Create a visualization to highlight user patterns regarding social personal information.
Tecton3D - Digital Mockup: Touching the 3rd Dimension
Context: Nowadays we generate large amounts of information while socially interacting through computers. However, we may not have an idea of our own interaction patterns.
Goal: Create a visualization to highlight user patterns regarding social personal information.
Gamifying an Engineering Course
Context: Nowadays we generate large amounts of information while socially interacting through computers. However, we may not have an idea of our own interaction patterns.
Goal: Create a visualization to highlight user patterns regarding social personal information.
Crush: Clip-art Retrieval Using Sketches
Context: Nowadays, there are large collections of clip-arts. Such drawings tend to be archived and accessed by categories. However, finding a particular drawing among hundreds of thousands is not an easy task.
Goal: Develop a solution for clip-art retrieval from large collections using sketches as queries.
© Sandra Gama, 2016