Success Stories

Xelerate Scholar Nitin was willing to challenge himself and seek answers for his questions regarding the complete energy balance of the universe. By challenging himself, he was able to “think outside the box” and worked on upgrading his knowledge about the most energetic gamma rays known to mankind from distant sources called the blazers down to the atmosphere of earth where they are detected by imaging atmospheric Cerenkov telescopes.

Xelerate scholar Seeja from Bangalore, India had a persistent question that she wanted to seek answers for when she applied to participate in her Xelerate Research Program. She was hoping that the Xelerate program would help her recognize her strengths and embrace her interests. On both aspects, her purpose was met.

Healthcare for the deaf and dumb can be significantly improved with a Sign Language Recognition (SLR) system capable of recognizing medical terms. This paper is an effort to build such a system. SLR can be modelled as a video classification problem and we have used vision based deep learning approach. The dynamic nature of sign language poses additional challenge to the classification.

“Supercapacitors” have attracted a lot of attention because of their excellent power density and extended cycling life. They are regarded as the promising next-generation energy storage devices to replace traditional batteries.