Victoria Sensano was born and raised in beautiful Maui, Hawaii. She graduated from Lahainaluna High School with Honors and then received a Certificate of Achievement and Associates degree in Computer Software Engineering from Portland Community College. Victoria is currently a second year Electronics and Computer Engineering student at Maui Community College. Vicky completed her Akamai internship at the Maui Scientific Research Center.Ā  The following summer, as a result of her Akamai Internship, she accepted a part time position as a telescope operator technician at Oceanit.Ā  In the future, Vicky would like to complete her Masters degree in Electronics/Electrical Engineering and/or Earth and Space Science. She would like to continue to work with telescopes or satellites and be involved in space science research and technology.

Home Island:Ā Maui
High School:Ā Lahainaluna High School
InstitutionĀ when accepted: Maui Community College

Akamai Project:Ā Computation of Statistical Information in a Parallel Environment
ProjectĀ Site: Institute for Astronomy, Maui
Mentor:Ā Douglas Hope

Project Abstract:

An important problem in image science is obtaining an objective assessment of an imageā€™s quality. One way to deal with this problem is to base the assessment on the amount of statistical information gathered from object and image ensembles. This task is computationally intensive and therefore needs high performance computing to carry out these complex mathematical equations. A parallel program has been created to run MATLAB scripts in a parallel environment. The results will be graphed and used to predict National Imagery Interpretability Rating Scale (NIIRS) value. This motivation of this project is based on showing that an NIIRS value can be given without the use of imagery analysts to assess the quality of an image.