Davidson Fellows - 2012 Fellow Anand Srinivasan


         

Anand Srinivasan

$10,000 Scholarship Recipient

Age: 16
Roswell, GA
Category: Technology
Project Title: “"Doc Ock" - Development of Novel Filtration Techniques to Facilitate Accurate Pattern Detection in EEG Signals.”

 
 


Anand’s project was originally envisioned with the purpose of creating better Brain-Computer interfaces (BCI); and was inspired by a documentary about Aron Ralston, the climber who was forced to amputate his own arm and had to be fitted with a semi-functional lookalike. The majority of Anand’s project entailed research in current software-based methods of detecting patterns in electrical signals produced by the brain. The primary obstacle preventing practicality of current BCIs, is their relatively low success in accurate pattern detection. Signals given off by the synapses between neurons are so dense and weak, that any extraneous electrical or RF noise can effectively “drown out” the signal. Anand developed a novel filtration algorithm that, when used with industry-standard classification algorithms, can increase recognition accuracy by about 15%. This is significant not only in the field of brain-computer interfaces, but also in any area that involves signal processing, including speech recognition, computer vision, and data transmission. Anand also developed a robotic arm to demonstrate, using an EEG (electroencephalograph), proof-of-concept that such a system is feasible. All of this was accomplished on a budget of less than $1000,

Anand feels that technology exists for one reason: to satisfy the human needs more effectively, whether that means satiating curiosity with a new particle accelerator or a replacement limb for a retired climber. Anand’s project has implications in the assistive technology field. In the future, he believes it will be possible that software-based methods of interfacing, such as his project, will even be used in performance-enhancing technology.

A rising junior at Roswell High School, Anand hopes to attend MIT, Stanford, or Georgia Tech and major in Computer Science/Artificial Intelligence or Electrical Engineering. His dream career is to be a researcher in the field of Machine learning and Artificial Intelligence, and create a computer that can mimic human learning.

Anand was recognized as one of the 15 finalists in the Google Global Science Fair. He was also invited to the White House Science Fair earlier this year, where he met President Obama and presented his project.



Photos:
Click the links below to view hi-res photos of Anand:
 
 
     

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Click here to view the full listing of the 2012 Davidson Fellows. 
Click here to view Anand's press release.

For all media inquiries, please contact DavidsonFellowsMedia@davidsongifted.org


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