I am a third-year Ph.D. student at Northeastern University Khoury College of Computer Sciences . I work in the Technology, Equity, and Accessibility (TEA) Lab . My advisor is Prof. Maitraye Das .
My research focuses on the intersection of Human-Computer Interaction (HCI), Computer-Supported Cooperative Work (CSCW), and Accessible Computing. I aim to develop accessible learning and collaborative technologies for disabled individuals. Currently, I am studying the accessibility of recent GenAI-powered tools from the perspective of blind and low-vision individuals.
Pronouns: She/Her
Email Address: adnin.r@northeastern.edu
More Information: CV | Google Scholar | LinkedIn
Highlights
- Our paper Examining Student and Teacher Perspectives on Undisclosed Use of Generative AI in Academic Work was published at CHI 2025.
- Our paper "I look at it as the king of knowledge": How Blind People Use and Understand Generative AI Tools was published at ASSETS 2024.
- Our paper Kanak: Automating the Generation of Accessible STEM Materials for Blind and Low-vision Students was published at OzCHI 2025.
PUBLICATIONS
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Rudaiba Adnin, Atharva Pandkar, Bingsheng Yao, Dakuo Wang, and Maitraye Das. 2025. Examining Student and Teacher Perspectives on Undisclosed Use of Generative AI in Academic Work. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25) (Acceptance rate: 25.1%) | DOI | PDFParticipants: University students & instructors · Methods: Survey + interviews · Analysis: Stats + reflexive thematic analysis · Tech: Pandas, NumPy, Plotly
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Rudaiba Adnin and Maitraye Das. 2024. “I look at it as the king of knowledge”: How Blind People Use and Understand Generative AI Tools. Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’24) (Acceptance rate: 30%) | DOI | PDFParticipants: Blind people · Methods: Interviews · Analysis: Reflexive thematic analysis
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Hari Prasath Palani, Rudaiba Adnin, and Shivangee Nagar. 2025. Kanak: Automating the Generation of Accessible STEM Materials for Blind and Low-vision Students. Proceedings of the 37th Australian Conference on Human-Computer Interaction (OzCHI ’25) | PDFParticipants: Braille transcribers & TVIs · Methods: Within-subject user study · Analysis: Statistical analysis + reflexive thematic analysis · Artifact: Kanak · Tech: ReactJS, NodeJS
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Rudaiba Adnin, Ishita Haque, Sadia Afroz, Alvi Md. Ishmam, Sakil Sarkar, Md. Kafi Khan, Afsana Mimi, Sriram Chellappan, and A. B. M. Alim Al Islam. 2023. Focusing on the Unfocused: Corresponding Perspectives on Connectivity among Small-scale Non-profit Organizations Working for Street Children in Bangladesh and Their Donors. Proceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS ’24) | DOI | PDFParticipants: Organizers & general public · Methods: Survey + interviews · Analysis: Stats + thematic · Tech: Pandas, NumPy, Plotly
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Rudaiba Adnin, Ishita Haque, Sadia Afroz, Alvi Md. Ishmam, and A. B. M. Alim Al Islam. 2022. Investigating Human Factors in Willingness to Donate to the Small-scale Non-profit Organizations in Bangladesh. Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing (CSCW ’22 Companion) | DOI | PDFParticipants: General public · Methods: Survey + interviews · Analysis: Statistical
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Rudaiba Adnin, Sadia Afroz, Muhtasim Ulfat, and Anindya Iqbal. 2022. A Hiring Story: Experiences of Employers in Hiring CS Graduates in Software Startups. Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing (CSCW ’22 Companion) | DOI | PDFParticipants: Startup employers · Methods: Interviews · Analysis: Thematic
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Md Ehtesham-Ul-Haque, Jacob D’Rozario, Rudaiba Adnin, Farhan Tanvir Utshaw, Fabiha Tasneem, Israt Jahan Shefa, and A. B. M. Alim Al Islam. 2023. EmoBot: Artificial emotion generation through an emotional chatbot during general-purpose conversations. Cognitive Systems Research | DOI | PDFParticipants: All ages · Method: Implementation + user eval · Data: Survey + interaction logs · Analysis: Statistical · Artifact: Chatbot
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Ishita Haque, Rudaiba Adnin, Sadia Afroz, Faria Huq, Sazan Mahbub, Sami Azam, and A. B. M. Alim Al Islam. 2022. Citadel: An Automated Abuse Detection System to Detect And Prevent Abusive Behaviors over Emails. Proceedings of the 9th International Conference on Networking, Systems and Security (NSysS ’22) (Acceptance rate: 27%) | DOI | PDFRunner-up Paper Award · Participants: Frequent email users · Method: 3-day field study · Data: interactions + survey · Analysis: Statistical · Artifact: Chrome extension · Tech: TensorFlow, Pandas, Django, JS, SQLite, Inkscape, Plotly
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Ishita Haque, Rudaiba Adnin, Sadia Afroz, Faria Huq, Sazan Mahbub, and A. B. M. Alim Al Islam. 2021. “A Tale on Abuse and Its Detection over Online Platforms, Especially over Emails”: From the Context of Bangladesh. Proceedings of the 8th International Conference on Networking, Systems and Security (NSysS ’21) (Acceptance rate: 16.67%) | DOI | PDFBest Paper Award · Participants: Frequent email users · Methods: Survey + interviews · Analysis: Stats + thematic · Tech: Pandas, NumPy, Plotly
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Rudaiba Adnin, Sadia Afroz, and Sadia Sharmin. 2022. Note: Learn Online—High School Students’ Adoption of Online Learning in Bangladesh during COVID-19 Pandemic. Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS ’22) | DOI | PDFParticipants: High-school students · Methods: Interviews · Analysis: Thematic
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S Mahmudul Hasan, Alabi Mehzabin Anisha, Rudaiba Adnin, Ishrat Jahan Eliza, Ishika Tarin, Sadia Afroz, and A. B. M. Alim Al Islam. 2022. Revealing Influences of Socioeconomic Factors over Disease Outbreaks. Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS ’22) | DOI | PDFArtifact: Scraped data · Correlation: Pearson & Spearman · Tech: Pandas, NumPy, Scikit-learn, NetworkX
EXPERIENCE
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Research Assistant
Mar 2023 – Present
Technology, Equity, and Accessibility (TEA) Lab, Northeastern University — Boston, MA, USA- Studying, designing, and developing learning tools for blind and low-vision students with Prof. Maitraye Das (Advisor) and Prof. Abir Saha (Collaborator). Published two papers on the use of GenAI (CHI 2025, ASSETS 2024); submitted a recent paper to TACCESS 2026.
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Research Assistant
Summer 2025
Roux Institute at Northeastern — Remote- Collaborated with Dr. Hari Prasath Palani (Mentor) on studying, prototyping, and evaluating two STEM learning tools for blind and low-vision students; co-authored two papers (OzCHI 2025, BCS HCI 2025).
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Teaching Assistant
Spring 2025, Fall 2025, Spring 2026
Khoury College of Computer Sciences, Northeastern University — Boston, MA, USA- CS 2484 (Principles of Human-Computer Interaction), Spring 2026: Guiding and Mentoring students in projects, interface design; grading coursework.
- CS 5340 (Human-Computer Interaction), Fall 2025: Guided students in projects, interface design; taught interface prototyping with Figma; graded coursework.
- CS 6350 (Empirical Research Methods), Spring 2025: Mentored students in designing and conducting user studies; graded coursework.
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Research Collaborator
Aug 2020 – Aug 2023
Next-generation Computing (NeC) Group, BUET — Dhaka, Bangladesh- Collaborated with Prof. A.B.M. Alim Al Islam (BUET), Prof. Sriram Chellappan (USF), Prof. Sadia Sharmin (BUET), Prof. Anindya Iqbal (BUET), and Prof. Rezwana Reaz (BUET) on research projects focusing on: online learning, non-profit organizations, emotional chatbot creation, and online abuse and privacy; co-authored six full papers (e.g., COMPASS 2023, COMPASS 2022) and four posters (CSCW 2022, COMPASS 2022).
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Database Engineer
Mar 2021 – Jul 2023
Therap BD Ltd. — Dhaka, Bangladesh- Developed and optimized SQL queries; conducted R&D on Oracle Cloud , GoldenGate , SQLTxplain , and DBSAT; maintained Oracle RAC databases; automated DBA workflows using Shell scripting, Python, and Java; and trained junior engineers on database modules and related tools.
EDUCATION
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Ph.D. in Computer Science
Sept 2023 - Present
Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
Advisor: Prof. Maitraye Das -
M.S. in Computer Science
Sept 2023 – Aug 2025
Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA
Advisor: Prof. Maitraye Das -
B.Sc. in Computer Science and Engineering
Feb 2016 – Mar 2021
Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh
Advisor: Prof. A. B. M. Alim Al Islam
SKILLS
- User Research: Semi-structured interviews, Surveys, Field studies
- Analysis: Reflexive Thematic Analysis, Open Coding, Significance Tests, Correlation
- Languages: Python, JavaScript, Java, PHP, C++, SQL, Bash,
- Prototyping: Figma, JavaScript, HTML, CSS
- Frameworks: ReactJS, NodeJs, Flask, Django, Laravel, TensorFlow, Pandas, NLTK, Numpy, Scikit-Learn, Plotly
- Tools: LLM-APIs, Git, Docker, Oracle, MySQL, SQLite, Wireshark, Android Studio, MATLAB, Logisim, Inkscape
- Platforms: Linux, Windows
- Other Skills: Leadership, Communication, Time Management, Detail-Oriented
AWARDS & SCHOLARSHIPS
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Khoury Distinguished Fellowship, 2023
Northeastern University -
Runner-up Paper Award ,
2022
International Conference on Networking, Systems and Security (NSysS '22) -
Best Paper Award ,
2021
International Conference on Networking, Systems and Security (NSysS '21)