Tasmiah Tahsin Mayeesha

Research Interests

I’m a PhD student in Information Science at the University of North Texas, working at the intersection of Human-Centered AI, NLP, and HCI. My research focuses on evaluating and understanding the reasoning capacities of foundation models, particularly in how these systems handle cultural context, multilingual understanding, and complex reasoning tasks.

Publications

1. Machine Learning & Natural Language Processing

T. T. Mayeesha, P. R. Ovi and S. Sharma, ”Adversarial Misdirection: Probing & Visualizing Cross-
Modal Reasoning Vulnerabilities in Vision-Language Models,” 2025 IEEE International Conference
on Big Data (BigData), Macau, China, 2025, pp. 7899-7907, doi: 10.1109/BigData66926.2025.11402081.

In What Languages are Generative Language Models the Most Formal? Analyzing Formality
Distribution across Languages. Asim Ersoy, Gerson Vizcarra, Tasmiah Tahsin Mayeesha & Benjamin Muller. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages
2650–2666, Singapore. Association for Computational Linguistics. Presented at 3rd Multilingual
Representation Learning (MRL) Workshop.

Transformer-Based Answer-Aware Bengali Question Generation. Jannatul Ferdous Ruma, Tasmiah
Tahsin Mayeesha & Rashedur M. Rahman. International Journal of Cognitive Computing in Engi-
neering, Volume 4, 2023, Pages 314-326, ISSN 2666-3074.

Visual Question Generation in Bengali. Mahmud Hasan, Labiba Islam, Jannatul Ruma, Tasmiah
Tahsin Mayeesha and Rashedur Rahman. 2023. In Proceedings of the Workshop on Multimodal,
Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023),
pages 10–19, Prague, Czech Republic. Association for Computational Linguistics.

Deep learning-based question-answering system in Bengali. Tasmiah Tahsin Mayeesha, Abdullah
Md Sarwar & Rashedur M. Rahman. Journal of Information and Telecommunication, 5:2, 145-178.
2021.

2. AI Safety, Ethics & Policy

Mayeesha, T. T., Islam, F., Ahmed, S., & Ahmed, N. (2025). Navigating the unknown: Regulation
of generative AI in South Asia. In Oxford intersections: Social media in society and culture. Oxford
University Press. https://doi.org/10.1093/9780198945253.003.0055

AI4Bangladesh: AI Ethics for Bangladesh - Challenges, Risks, Principles, and Suggestions. Tasmiah
Tahsin Mayeesha, Farzana Islam, and Nova Ahmed. 2024. In International Conference on Informa-
tion & Communication Technologies and Development (ICTD ’24), December 9–11, 2024, Nairobi,
Kenya. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3700794.3700820.

Know Your Users: Towards Explainable AI in Bangladesh. Farzana Islam, Tasmiah Tahsin Mayee-
Sha and Nova Ahmed. In companion to the 2024 ACM International Joint Conference on Pervasive
and Ubiquitous Computing (UbiComp Companion ’24), October 5–9, 2024, Melbourne, VIC, Australia. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3675094.3679002.

Making ethics at home in Global CS Education: Provoking stories from the Souths. Marisol Wong-
Villacres, Cat Kutay, Shaimaa Lazem, Nova Ahmed, Cristina Abad, Cesar Collazos, Shady Elbas-
Suoni, Farzana Islam, Deepa Singh, Tasmiah Tahsin Mayeesha, Martin Mabeifam Ujakpa, Tariq Zaman, Nicola J. Bidwell. ACM Journal on Computing and Sustainable Societies, COMPASS, 2023. (Best Journal Paper Award)

3. Human-Computer Interaction (HCI)

N. Ahmed, T. T. Mayeesha, I. A. Abeer, A. Saha and A. Sinha, ”Exploring the Social Barriers Dur-
ing Their Learning Pathways for Women in Computing (WiC),” 2025 IEEE Region 10 Symposium
(TENSYMP), Christchurch, New Zealand, 2025, pp. 1-8, doi: 10.1109/TENSYMP63728.2025.11145010.

Nova Ahmed, Tasmiah Tahsin Mayeesha, Ifti Azad Abeer, Sumit Kumar Kar, Anik Saha, Anik
Sinha, Sumaya Akter Ruhi, Md. Hussain Shahriar, Sumaya Yasmin, Nazmun Nahar, and Syeda
Shabnam Khan. 2025. Meena Needs a Computer Now: Co-design Solutions to Barriers using
Fictional Inquiry for Women in Computing. ACM Trans. Comput. -Hum. Interact. Just Accepted
(August 2025). https://doi.org/10.1145/3762808.