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, with a current focus on 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.

Beyond academia, I have a background in driving innovation and technical strategy. I previously served as an Innovation Officer at EduBlock.co, where I led strategy and investor pitching , and as an Intern at AI Robotics Asia Ltd., focusing on product design and technical reporting.

I completed my bachelor’s degree in Computer Science at AIUB, where I graduated Magna Cum Laude (Silver) and received a Gold Medal for Leadership. Welcome to my homepage, where I share my research, publications, and latest updates.

What's New?

Research Experience

Teaching Experience and Talks

Instruction & Training — NSF RET (2025): Led a week-long training session for high-school teachers on AI/ML fundamentals, designing a curriculum with hands-on modules adaptable for K-12 classrooms.

Student Mentorship — Graduate & Undergraduate: Mentored M.S. and NSF REU students on research projects involving sentiment analysis, political polarization modeling, and algorithmic bias.

Guest Lecturing — CS & Philosophy Departments: Delivered specialized lectures on “Algorithmic Bias in ML” (Ethics of AI), “Hadoop Fundamentals” (Cloud Computing), “Intro to Neural Networks,” and “Modern NLP Architectures”.

Achievements

• Travel Grant, Summer Institute in Computational Social Science (SICSS-CMU) (2025) — Awarded funding to attend the summer program at Carnegie Mellon University.
• Outstanding CS Scholar Award, Oklahoma State University (2023)
• Outstanding CS Leadership Award, Oklahoma State University (2023)
• Women in Data Science (WiDS) Stillwater Ambassador, 2023
• Magna Cum Laude, American International University-Bangladesh (2018)
• Anwarul Abedin Leadership Award (Gold Medal), American International University-Bangladesh (2018)

Projects

Science Officer in AIUB Robotic Crew (ARC 2018) for the University Rover Challenge,2018, Mars Desert Research Station, Utah — Led the science team in designing and executing soil analysis and life-detection experiments. check here for more details

Volunteering Experience

Into The Streets, 2025 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, Bangladeshi Student Association (BSA) Stillwater, 2021

Education

PhD 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

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.