About Me
I am a PhD Candidate in the Department of computer science at Oklahoma State University. My work focuses mostly on natural language processing and social network analysis, currently I am interested in understanding and quantifying inherent biases in Large Language Models. I work in the Reasoning and Artificial Intelligence (rAIson) Laboratory under the guidance of Dr. Atriya Sen and Dr. Sagnik Ray Choudhury.
Welcome to my homepage, where I share my research, publications, and latest updates.
What's New?
Oct 2025: Gave two guest lectures on the topic race & gender in AI and algoithmic bias in Ethics of AI course. A very special thanks to Dr. Heather Stewart for this opportunity!
Oct 2025: One paper got accepted to the AACL-IJCNLP 2025 main conference. Here is the Preprint and codebase coming soon!
Sep 2025: Will serve on the Scientific Committee of LREC 2026
Sep 2025: Secured runner-up position in the Women’s Doubles category at the International Student Organization (ISO) Badminton Tournament, Oklahoma State University, goPokes!
Sep 2025: Successfully completed PhD Proposal Defense!
Aug 2025: Reviewed 5 papers for ICMLA’25
Aug 2025: New Preprint alert! In this work, we have thoroughly investigated the robustness of bias quantifying measures for LLMs.
Jul 2025: Awarded $260 for my talk in the AI Symposium of RET 2025
Jun 2025: One paper got accepted in ASONAM'25, Congrats to Rifat!
May 2025: Got selected as Student Leader in NSF RET 2025!
May 2025: Travelled to Pittsburgh for the summer school, YINZ!
Mar 2025: Got selected for the Summer Institute in Computational Social Science SICSS CMU 2025
Aug 2024: Reviewed 4 papers for COLING’25
Oct 2024: Reviewed 3 papers for ICMLA’24
May 2024: One paper accepted at PAKDD’24
Jun 2024: Reviewer for ECAI’24 (1 paper)
Jun 2024: Reviewer for IJCNN’24 (2 papers)
May 2024: Reviewer for LREC–COLING’24 (3 papers)
Dec 2023: Received CS Outstanding Leader & Scholar Award
Nov 2023: Reviewer for ICMLA 2023 (5 papers)
Dec 2023: Two papers accepted at ICMLA 2023
Research Experience
— Currently analyzing robustness of bias measuring techniques to measure inherent biases of open-source LLMs(LLaMA, Mistral, Gemma etc.)
— Developed a bias-mitigated deep learning model for political stance detection in news articles, integrating external knowledge sources. Achieved 73% accuracy, surpassing baselines in unseen domains.
— Implemented deep learning models (Transformers, Decision Trees, Random Forest), using PyTorch and TensorFlow for classification and regression. Fine-tuned LLMs using LoRA/QLoRA in text and multimodal setups.
Teaching Experience and Talks
- Taught High School Teachers Basics of AI & ML (RET 2025)
- Mentored Masters and Undergrad Students
- Guest lectures in Ethics of AI
- Guest lectures in Cloud Computing & Distributed Systems
- Guest lectures in Representation Learning
- Guest lecture in Artificial Intelligence
Achievements
- Outstanding CS Scholar Award 2023
- Outstanding CS Leadership Award 2023
- Women in Data Science (WiDS) Stillwater Ambassador 2023
- Magna Cum Laude
- Anwarul Abedin Leadership Award (Gold Medal)
Projects
Science Officer in AIUB Robotic Crew (ARC) for the University Rover Challenge 2018
Volunteering Experience
Feedback Provider, 4th annual OSU Undergraduate Research Symposium
Research Mentor, ACM Spring 2025 Hackathon
Computer Science Department Representative, GPSGA OSU (2024–25)
Director of Outreach, CSGSA (2024–2025)
Cultural Secretary, Bangladeshi Student Association (BSA) Stillwater 2024
Treasurer Elect, BSA Stillwater 2021
Education
PhD in Computer Science (2021-Present)
Stillwater, Ok, USA
BSc in Computer Science (2015 - 2018), Magna Cum Laude
American International University-Bangladesh(AIUB)
Dhaka, Bangladesh
Publications
Kamal, Sadia, Lalu Prasad Yadav Prakash, S. M. Rafiuddin, Mohammed Rakib, Atriya Sen, and Sagnik Ray Choudhury. “A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models.” arXiv preprint arXiv:2506.22493 (2025).
Rafiuddin, S. M., Kamal,S et al. “AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis.” arXiv preprint arXiv:2507.12695 (2025).
Rafiuddin, S.M., Rakib, M., Kamal, S., Bagavathi, A. (2024).[Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis.] In: Yang, DN., Xie, X., Tseng, V.S., Pei, J., Huang, JW., Lin, J.CW. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2024. Lecture Notes in Computer Science(), vol 14650. Springer, Singapore.
Kamal, S., Hartford, J., Willis, J., and Bagavathi, A. “Learning Unbiased News Article Embeddings: A Fair and Knowledge-Infused Approach” (Accepted at) in IEEE International Conference on Machine Learning and Applications (ICMLA), 2023. [arxiv]
Tripuraneni, S. S., Kamal, S., Bagavathi, A. (2023)Quantitative Analysis of Forecasting Models:In the Aspect of Online Political Bias.(Accepted at) in IEEE International Conference on Machine Learning and Applications (ICMLA), 2023. [arxiv]
Kamal, S., Gullic, J., Bagavathi, A. (2022). Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias. In: Ceci, M., Flesca, S., Masciari, E., Manco, G., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2022. Lecture Notes in Computer Science(), vol 13515. Springer, Cham.
P. Hajare, S. Kamal, S. Krishnan and A. Bagavathi, A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), Pasadena, CA, USA, 2021, pp. 239-243.
M. M. Rahman, S. Kumar Sana, M. R. Hasan, S. Kamal, T. I. Rouf Uday and J. Jahin, “A Prototype of Heavyweight Carrying Robot for Garments Industry in Bangladesh,” 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), Dhaka, Bangladesh, 2019, pp. 1-6.
A. Islam, S. Kamal et al., “EduBot: An Educational Robot for Underprivileged Children,” 2019 International Conference on Automation, Computational and Technology Management (ICACTM), London, UK, 2019, pp. 232-236.