For updated publication list, please look at: https://goodboyanush.github.io/blogs/bio.html
My research expertise are in the applications of representation learning on noisy, unstructured data, natural language processing, computer vision, and build cognitive systems. I also specialize in end-to-end fingerprint technology.
I'm currently leading technical efforts in two technical areas:
1. IBM Deep Learning IDE (https://dlide.mybluemix.net/#/) - Its a visual programming IDE, where you could design a deep learning model using an intuitive drag-and-drop framework. Once designed, DL-IDE 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.
2. Machine Learning for Creativity (http://ml4creativity.mybluemix.net) - 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
My PhD thesis lies in the domain of applied deep learning in the problems at the intersection of biometrics and forensics. My thesis advisors are Dr. Mayank Vatsa and Dr. Richa Singh. I was awarded the prestigious TCS Research Fellowship for my PhD.
I have also hands-on experience in building web applications using MEAN stack.