About Me

I am an Applied Scientist at Amazon. My research focuses on the intersection of natural language processing and machine/deep learning. In 2022, I graduated with a Ph.D. in Computer Science and Engineering from the University of North Texas.

I also have a master's degree in Computer Science from Tennessee Tech and a bachelor’s degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology.



  • A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations
    Md Mosharaf Hossain, Luke Holman, Anusha Kakileti, Tiffany Iris Kao, Nathan Raul Brito, Aaron Abraham Mathews, and Eduardo Blanco, accepted at Findings of NAACL 2022.
    The paper with the code and data is coming soon.

  • An Analysis of Negation in Natural Language Understanding Corpora
    Md Mosharaf Hossain, Dhivya Chinnappa, and Eduardo Blanco, accepted at ACL 2022.
    The paper with the code and data is coming soon.

  • An analysis of natural language inference benchmarks through the lens of negation
    Md Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, Tiffany Kao, Elizabeth Wei, and Eduardo Blanco, EMNLP 2020
    [pdf] [code] [corpus] [bib]

  • It’s not a Non-Issue: Negation as a Source of Error in Machine Translation
    Md Mosharaf Hossain, Antonios Anastasopoulos, Eduardo Blanco, and Alexis Palmer, Findings of EMNLP 2020
    [pdf] [code] [corpus] [bib]

  • Predicting the Focus of Negation: Model and Error Analysis
    Md Mosharaf Hossain, Kathleen Hamilton, Alexis Palmer, and Eduardo Blanco, ACL 2020
    [pdf] [code] [bib]

  • A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases
    Md Mosharaf Hossain, Thomas M. Hines, Sheikh K. Ghafoor, Sheikh Rabiul Islam, Ramakrishnan Kannan, and Sreenivas R. Sukumar, BPOD@IEEE BigData 2018
    [pdf] [bib]