Sadia Kamal
Scholar

Sadia Kamal

Google Scholar ID: lclNrycAAAAJ
Oklahoma State University
Natural Language ProcessingComputational Social ScienceFairness of AI
Citations & Impact
All-time
Citations
21
 
H-index
3
 
i10-index
0
 
Publications
10
 
Co-authors
6
list available
Publications
10 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Received CS Outstanding Scholar Award (2023), CS Outstanding Leadership Award (2023), WiDS Stillwater Ambassador (2023); One paper accepted to AACL-IJCNLP 2025 main conference; One paper accepted at ASONAM'25; Reviewed papers for multiple academic conferences including ICMLA’25, COLING’25, ECAI’24, etc.; Published two papers at ICMLA 2023.
Research Experience
  • Currently analyzing the robustness of bias measuring techniques for open-source LLMs (e.g., LLaMA, Mistral, Gemma); Developed a deep learning model for political stance detection in news articles, achieving 73% accuracy; Implemented various deep learning models (e.g., Transformers, Decision Trees, Random Forest) using PyTorch and TensorFlow for classification and regression tasks; Fine-tuned LLMs using LoRA/QLoRA in text and multimodal setups.
Education
  • Ph.D. in Computer Science (2021-Present), Oklahoma State University, Stillwater, OK, USA; BSc in Computer Science (2015-2018), Magna Cum Laude, American International University-Bangladesh (AIUB), Dhaka, Bangladesh.
Background
  • Research Interests: Natural Language Processing, Social Network Analysis; Currently focused on understanding and quantifying inherent biases in Large Language Models. Working at the Reasoning and Artificial Intelligence (rAIson) Laboratory under the guidance of Dr. Atriya Sen and Dr. Sagnik Ray Choudhury.
Miscellany
  • Volunteered as GPSGA OSU Computer Science Department Representative (2024-25), CSGSA Director of Outreach (2024-2025), Cultural Secretary of BSA Stillwater (2024), and Treasurer Elect of BSA Stillwater (2021); Runner-up in Women’s Doubles at ISO Badminton Tournament; Science Officer in AIUB Robotic Crew (ARC) for the 2018 University Rover Challenge.