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Research Statement

1 minute read


Developing computational algorithms that (1) reduce the need for large-scale annotated data to train NLP models from scratch; (2) adapt to new domains and languages with fewer labeled examples.




Multi-Task Machine Learning


I will talk about multi-task learning methods and some recent works in deep learning.

Context Attentive Document Ranking and Query Suggestion


In this talk, I will introduce a Context Attentive Document Ranking and Query Suggestion Model based on a two-level hierarchical recurrent neural network to learn search context representation of individual queries, search tasks, and corresponding dependency structure.


Lecturer at BUET

Undergraduate course, Bangladesh University of Engineering and Technology, 2012

I have taught 3 theory course and more than 10 Lab courses at BUET CSE department at the undergraduate level.

Teaching Assistant at UIUC

Graduate course, University of Illinois Urbana Champaign, 2017

I worked as one of the teaching assistants of CS 510 (Advanced Information Retrieval) Course in this semester under Prof. Chengxiang Zhai. The details of the course schedule can be found here