Analysis of ß-strand Twist from the 3-dimensional Image of a Protein. - Tunazzina Islam; Michael Poteat; Jing He 002 (BCB, 2017)

A Machine Learning Approach for Efficient Parallel Simulation of Beam Dynamics on GPUs. - Kamesh Arumugam; Desh Ranjan; Mohammad Zubair; Balsa Terzic; Alexander N. Godunov; Tunazzina Islam (ICPP, 2017)

REXTAL: Regional Extension of Assemblies Using Linked-Reads. - Tunazzina Islam; Desh Ranjan; Eleanor Young; Ming Xiao; Mohammad Zubair; Harold Riethman (ISBRA, 2018)

Quantification of Twist from the Central Lines of β-Strands. - Tunazzina Islam; Michael Poteat; Jing He 002 (J. Comput. Biol., 2018)

Nanopore Guided Assembly of Segmental Duplications Near Telomeres. - Eleni Adam; Tunazzina Islam; Desh Ranjan; Harold Riethman (BIBE, 2019)

Ex-Twit: Explainable Twitter Mining on Health Data. - Tunazzina Islam (CoRR, 2019)

Yoga-Veganism: Correlation Mining of Twitter Health Data. - Tunazzina Islam (CoRR, 2019)

Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information. - Tunazzina Islam; Dan Goldwasser (IEEE BigData, 2020)

Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information. - Tunazzina Islam; Dan Goldwasser (CoRR, 2020)

Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model. - Tunazzina Islam; Dan Goldwasser (ICWSM, 2021)

Analysis of Subtelomeric REXTAL Assemblies Using QUAST. - Tunazzina Islam; Desh Ranjan; Mohammad Zubair; Eleanor Young; Ming Xiao; Harold Riethman (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision. - Tunazzina Islam; Dan Goldwasser (IEEE Big Data, 2022)

Twitter User Representation Using Weakly Supervised Graph Embedding. - Tunazzina Islam; Dan Goldwasser (ICWSM, 2022)

A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. - Maria Leonor Pacheco; Tunazzina Islam; Monal Mahajan; Andrey Shor; Ming Yin; Lyle H. Ungar; Dan Goldwasser (NAACL-HLT, 2022)

Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. - Maria Leonor Pacheco; Tunazzina Islam; Lyle H. Ungar; Ming Yin; Dan Goldwasser (ACL (Findings), 2023)

Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging. - Tunazzina Islam; Ruqi Zhang; Dan Goldwasser (AIES, 2023)

Weakly Supervised Learning for Analyzing Political Campaigns on Facebook. - Tunazzina Islam; Shamik Roy; Dan Goldwasser (ICWSM, 2023)

Uncovering Latent Themes of Messaging on Social Media by Integrating LLMs: A Case Study on Climate Campaigns. - Tunazzina Islam; Dan Goldwasser (CoRR, 2024)

Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation. - Tunazzina Islam; Dan Goldwasser (CoRR, 2024)

Understanding Microtargeting Pattern on Social Media. - Tunazzina Islam (AAAI, 2025)

Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs. - Tunazzina Islam; Dan Goldwasser (ICWSM, 2025)

Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy. - Tunazzina Islam; Dan Goldwasser (NAACL (Findings), 2025)

Can LLMs Assist Annotators in Identifying Morality Frames? - Case Study on Vaccination Debate on Social Media. - Tunazzina Islam; Dan Goldwasser (WebSci, 2025)