• Omar Sharif | (ওমর শরিফ)
  • Publications
  • Teaching
  • Experience
  • Awards
  • Misc

    Education

    Sep 2022 – present
    Ph.D. in Computer Science, Dartmouth
    Dartmouth College · Guarini School of Graduate and Advanced Studies
    Learning to Extract Structured Information from Unstructured Data
    Committee: Soroush Vosoughi, Christophe Hauser, Lucy Lu Wang
    Advisor: Nikhil Singh
    Aug 2019 – Jan 2022
    M.Sc. in Computer Science & Engineering, CUET
    Chittagong University of Engineering and Technology (CUET), Bangladesh
    Fine-grained Categorization of Aggressive Texts using Transformers
    Advisor: Md. Moshiul Hoque
    Mar 2014 – Nov 2018
    B.Sc. in Computer Science & Engineering, CUET
    Chittagong University of Engineering and Technology (CUET), Bangladesh

    Professional Experience

    Mar – Jun 2025
    Research Intern
    Amazon AWS, New York
    Mentors: Alexandar Li, Sijia Wang, Patrick Ng
    Sep 2022 – present
    Graduate Research Assistant
    Department of Computer Science, Dartmouth College
    Jul – Aug 2022
    Assistant Professor
    Department of Computer Science & Engineering, CUET
    Jul 2019 – Jun 2022
    Lecturer
    Department of Computer Science & Engineering, CUET
    Dec 2018 – Jun 2019
    Research Assistant
    CUET NLP Lab, Bangladesh

    Academic Service

    Reviewing
    Conferences
    EMNLP 23–26ACL 23–26NAACL 24–25AAAI 24, 26–27ICWSM 23–24LREC 22, 24COLING 25ACL Rolling Review
    Journals
    Scientific Reports · ACM Computing Surveys · IEEE Access · Transactions on Computational Social Systems (TCSS) · Transactions on Asian and Low-Resource Language Information Processing (TALLIP) · Language Resources and Evaluation (LREV) · Transactions on Affective Computing
    Organising
    2024REAL-Info — Workshop on Reliable Evaluation of LLMs for Factual Information, at ICWSM Site
    2021Workshop on Computational Analysis of Undesired Texts on Social Media Event
    20191st Workshop on Computational Linguistics & Bangla Language Processing Site

    Certifications

    Coursera
    Deep Learning Specialization
    Foundations of deep learning — CNNs, RNNs, LSTMs, Adam, Dropout, BatchNorm and hyper-parameter optimisation, with case studies in autonomous driving, sign language reading, music generation and NLP.
    Certificate Notes
    Coursera
    DeepLearning.AI TensorFlow Developer
    Neural networks, GRUs and LSTMs in TensorFlow; improving performance with convolutions, and building NLP systems.
    Certificate
    Updated on Sep 28, 2026