John Femiani

Dr. John Femiani is an associate professor in the Computer Science and Software Engineering department. He has a Ph.D from Arizona State University with published work ranging from surface parameterization to document image analysis. He has produced 12 journals, 20 peer reviewed conference publications, and received best paper awards including the Late Sydney R. Parker Best Paper Award in the area of Signal Processing and M. N. S. Swamy Best Paper Award.

He was recognized for entrepreneurial innovation in 2010 and 2011, he received AzTE 2006 “Innovator of the Year” award, and holds a patent on modeling handwriting in document images. His research is applied and interdisciplinary with a focus on computer graphics, computer vision, remote sensing, and 3D geometry.

His main research interests are in the areas of computer vision and computer graphics; often applied to large scale big-data problems in domains such as remote sensing, where large amounts of imagery might be processed to search for important features.

Major research areas are 1) segmentation/classification of raster/vector imagery, point clouds, or surfaces, and 2) feature extraction and reverse engineering. Both of these areas are connected to 3D computer graphics through their use in generating content for modeling and simulation, advanced training, gaming, or CAD.

His approach to research is often very applied, especially to domains such as assistive technology, health, anthropology, as well as training for military or intelligence applications. Even though applied research has been important, he is also very interested in ‘classical’ research problems such as Hermite interpolation.