Tasmiah Tahsin Mayeesha

dblp:294/8625 · DBLP profile ↗
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3ranked-venue papers
2as first author
3since 2021 · last 2026
0000-0002-4994-9458ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Design research and methods · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Design research and methods
participatory design
1.012026
Meena Needs a Computer Now: Co-design Solutions to Barriers Using Fictional Inquiry for Women in Computing · ACM Trans. Comput. Hum. Interact. 2026
Computing education › broadening participation in computing
women in computing
0.312026
Meena Needs a Computer Now: Co-design Solutions to Barriers Using Fictional Inquiry for Women in Computing · ACM Trans. Comput. Hum. Interact. 2026

Methods — techniques the papers use, named apart from their topics

qualitative analysis · 2.0natural language processing · 2.0fictional inquiry · 2.0
YearPublicationVenuePosition
2026 Meena Needs a Computer Now: Co-design Solutions to Barriers Using Fictional Inquiry for Women in Computing
abstract
Gender disparity in computing is a well-explored concern. To complement existing research, we use a non-intrusive exploration method of Fictional Inquiry. Followed by co-design workshop to explore solution approaches to increase women’s participation in computing. The study involved n = 48 Women in Computing (WiC) students in computing from four universities across Bangladesh. Participants shared their challenges and desired solutions which we analyzed using qualitative methods along with Natural Language Processing based tools to illustrate the problems from various perspectives while minimizing potential biases. The research team reflects on methodological decisions, policy implications, and the need for culturally and contextually appropriate tools and datasets to better support WiC research in resource-limited settings.
Nova Ahmed, Tasmiah Tahsin Mayeesha, Ifti Azad Abeer, Sumit Kumar Kar 0001, Anik Saha, Anik Sinha, Sumaya Akter Ruhi, Md. Hussain Shahriar, Sumaya Yasmin, Nazmun Nahar, Syeda Shabnam Khan
ACM Trans. Comput. Hum. Interact.2
2025 Adversarial Misdirection: Probing & Visualizing Cross-Modal Reasoning Vulnerabilities in Vision-Language Models
Tasmiah Tahsin Mayeesha, Pretom Roy Ovi, Sharad Sharma
IEEE Big Data1
2024 AI4Bangladesh: AI Ethics for Bangladesh - Challenges, Risks, Principles, and Suggestions
Tasmiah Tahsin Mayeesha, Farzana Islam, Nova Ahmed
ICTD1