Anush Sankaran is a Researcher in the Cognitive Solutions and Services team. His research interests include deep learning, image processing, human cognition, and their applications. He is now primarily leading efforts in two projects
- DARVIZ - Its a visual programming IDE, where you could design a deep learning model using an intuitive drag-and-drop framework. Once designed, DARVIZ could write the execution ready deep learning code for you in three platforms - Tensorflow, CAFFE, and Theano. This tool helps in extreme rapid prototyping of deep learning models and implementation of state of art papers.
- Machine Learning for Creativity - One of the elusive goals of artificial intelligence remains human-level creativity. All attempts to emulate creativity artificially fall under the umbrella of an emerging field called computational creativity. The goal of this project is to create creative assistants to help augment human creative experts in various fields
He is currently pursuing the Ph.D. degree with the Indraprastha Institute of Information Technology, New Delhi, India. He was a recipient of the TCS Ph.D. Research Fellowship from 2010 to 2015. He has written many peer-reviewed conferences and journals and also has the Best Poster Awards in the IEEE BTAS 2013 and the IEEE IJCB 2014. Anush received the B.Tech. degree (Gold Medal) in computer science from the Coimbatore Institute of Technology, Coimbatore, India, in 2010.