Facebook announces the 2013-2014 Facebook Graduate Fellows. "Our fellowships support emerging research leaders who demonstrate potential to advance our mission of making the world more open and connected.” Aditya Khosla, a second-year Ph.D. student in computer science at the Massachusetts Institute of Technology, has been selected as one of the winners.
Aditya completed his M.S. at Stanford University in 2011 and B.S. at the California Institute of Technology in 2009. His current research focus is on applying computer vision and machine learning techniques to human memory. Recent research shows that the extent to which an image is remembered is largely a property of the image and not of the individual. This means that despite varied experiences, individuals tend to remember and forget the same images.
From the increasing number of photos being viewed and shared on the internet, what do people remember? Can we predict what makes an image memorable or forgettable? What can be changed in an image to increase or decrease its memorability? Aditya's research aims to answer these questions. He is currently working on devising algorithms to allow the automatic modification of image memorability. This would be akin to having a new filter on Instagram called "Memorable" that makes certain modifications to an image or a face to make it more or less memorable. This technology could have significant impact on the way we design images for various applications e.g. advertisers could make their advertising more memorable and thereby more effective, or teachers could modify textbook diagrams to allow them to be easily remembered by students. Aditya wishes to publicly thank his,” awesome advisors, Antonio Torralba and Aude Oliva” for their support of his research.
For more information, visit his website: http://mit.edu/khosla