"There are a MILLION and one ways...
...if its something you REALLY want!"
Home     My Work     Links     Email me     Site Map      
WiReD to INSPIRE Scratch!      
Want to see what I do?
Working as a Research Assistant with WiReD and INSPIRED has presented my with various opportunities to really show my potential.  Above, you will find a few links of some of my recent works. 
 
Pause Stop Previous Next View full-sized photos

INSPIRED - 2007
As of September 2007, WiReD has expanded to INSPIRED, which is a team consisting of women and minorities.  The INSPIRED team will perform many of WiReD's previous tasks and goals, in a more expanded level, with the same overall goal:  to increase participation in the field of Computer Science!  I am very pleased to announce that I have been lucky enough to be chosen to participate in this program, and hope to get started with our projects soon!

WiReD Outreach
Along with other WiReD Members, Dr. Jane Liu, and Bindiya Mansharamani, I have attended West Brook Highschool's Open House as guest speakers.  We go to talk to the students about Careers in Computing, and demonstrate a simple program with our robots.  The students have always given great feedback to our talks and we hope to inspire them to pursue a degree in Computer Science.

 
WiReD Summer Camps
In the summer of 2006, I was an instructor in the Summer Camps held by the WiReD Team.  Our curriculum had a combination of the fundamentals of Robotics, Computer Architecture, and Web Development which we taught to high school and middle school girls. 

Texas Academy of Science - March 2006
The WiReD Team submitted the following abstract to the 109th Annual Meeting of the Texas Academy of Science.  Which granted them third place overall, and the Dr. Amir-Moez Endowed Price.
 
After developing a mobile robot capable of navigation and obstacle detections, it was our intent to develop a more efficient and intelligent means of implementing behaviors for robotic control. Using a layered architecture, the robot will employ a more sophisticated algorithm for determining its path(s) and obstacle avoidance behaviors. The research focused only on the actual implementation and demonstration of this architecture and excludes the learning curves required for the individual sensors used.