I am PhD scholar, specializing in deep learning for natural language processing and computer vision. I am interested in development of deep learning models for short and informal text analysis. Deep learning models are data hungry, thus, acquiring a large scale annotated data to train robust deep learning models is costly. I am also interested in learning with minimal annotated data. My publications can be viewed here.

News

• Paper accepted at ACM-SAC 2020.
• Paper accepted in Information Processing and Management Journal, Vol 57, Issue 3, 2020.
• Paper accepted at IEEE-AECT 2020.
• Two papers accepted at International Conference on Neural Information Processing (ICONIP) 2019.
• Paper accepted at IEEE-ACCESS, 2019.