Scholar
Omar Sharif
Google Scholar ID: TBBRv2wAAAAJ
PhD Student, Dartmouth College
Citations & Impact
Citations
1,041
H-index
19
i10-index
28
Publications
20
Co-authors
8
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- REGen paper accepted at EMNLP-2025 (findings); Successfully passed RPE/Qual exam; Accepted AAAI-26 program committee invitation; Received Outstanding TA Award for teaching contribution at Dartmouth CS; Two papers accepted at ACL-2025 (1 Main, 1 Findings); One paper accepted at JMIR (Impact Factor: 6.0); One paper accepted at EMNLP-2024; Group in OpenAI Researcher Access Program, received $5k API credit; One paper accepted at ACL-2024; Received AAAI Travel Grant to attend and present at ICWSM-2024; Received Volunteer Award to attend and present at EACL-2024; One paper accepted at EACL-SRW-2024; One paper accepted at AAAI-2024; Virtually attended EMNLP-2023 and presented papers; One paper accepted in GEM-Workshop at EMNLP-2023; One paper accepted at EMNLP-2023 Findings; Presented a poster at Digital Mental Health & AI Symposium organized by CTBH; One paper accepted at ICWSM-2024; Virtually presented a paper at AACL-SRW 2022; Awarded Presidential Graduate Fellowship from Dartmouth; One paper accepted at CONSTRAINT@ACL-2022; One paper accepted at LREC-2022 main conference; Four shared task papers accepted at ACL-2022 workshops; Successfully defended Master's thesis; Bengali Aggressive Text Dataset (BAD) released; One paper accepted at Neurocomputing Journal (IF: 5.719, HI: 143); Received D&I Award and virtually attended EMNLP-2021; Two papers (Sentiment, Emotion) accepted in SN Computer Science.
Research Experience
- Interned at Amazon in Spring 2025 with Patrick's team to improve the visual reasoning abilities of MLLMs using Reinforcement Learning.
Education
- Pursuing a PhD in Computer Science at Dartmouth; Joined Dartmouth on September 12, 2022.
Background
- PhD student in the Computer Science department at Dartmouth, passionate about leveraging AI and NLP to advance Social Science and Computational Health. Currently working on information extraction from texts to derive structured knowledge from unstructured narratives, aiming to improve discourse understanding. Also enthusiastic about Multimodal NLP—particularly in designing models that can effectively fuse information across various modalities to enhance reasoning capabilities and enable seamless Human-AI interaction.
Miscellany
- Interested in applying deep learning to understand natural language.
