I am a Senior Lecturer in Computer Science and Engineering at BRAC University, Dhaka, currently based in Sydney, Australia. My research sits at the intersection of Human-Computer Interaction, Human-Centered and Trustworthy AI, Usable Security and Privacy, and Social Computing. I study how people understand, trust, and rely on AI systems and information they cannot fully verify, and how they navigate risks to their privacy and safety, from surveillance to synthetic media. My work centers on marginalized and underrepresented communities in South Asia, with a growing focus on low-resource health and education contexts, and draws on qualitative, mixed-methods, and computational approaches.

My research has appeared at USENIX Security 2026, where I am co-first author on a study of surveillance and resilience during Bangladeshs July 2024 uprising, as well as at CHI 2025 and COMPASS 2026. I am Principal Investigator of From Silence to Support, a funded project co-designing an AI-assisted mental health support pathway for university students, and the Bangladesh country representative in a multi-country South Asian study of how people trust and share AI-generated content.

At BRAC University, I teach across HCI, AI, machine learning, and data science, and I have supervised more than 50 undergraduate thesis and project groups, many of them publication-oriented. Beyond my department, I serve as Vice Chair of the Asia SIGCHI Committee and Treasurer of the ACM SIGCHI Dhaka Chapter, co-founded the Human-Centered Computing and Society (HCCS) Research Group, and am co-leading the organization of the HCI Winter School 2027 in Bangladesh.

Journal Publications

Ahmed, M. S., Tazwar, M. T., Khan, H., Roy, S., Iqbal, J., Rabiul Alam, M. G., Hassan, M. R., & Hassan, M. M. (2022). Yield response of different rice ecotypes to meteorological, agro-chemical, and soil physiographic factors for interpretable precision agriculture using extreme gradient boosting and support vector regression. Complexity, 2022, Article 5305353. https://doi.org/10.1155/2022/5305353
 

Conference Publications

Eshita, M. M., Rofi, I. B., Ahmed, M. S., Das, D., Alam, M. G. R., Noor, J., Ahmed, S. I., & Haque, S. M. T. (2026). Resilience amid diffused surveillance during a political movement in Bangladesh. In Proceedings of the 35th USENIX Security Symposium (USENIX Security 2026) (pp. 3951–3970). USENIX Association. https://www.usenix.org/conference/usenixsecurity26/presentation/eshita
 

Akib, A. H. B. S. M., Intisar, M. A., Ahmed, M. S., Nujhat, M., & Chowdhury, F. (2026). From restriction to empowerment: Responsible AI governance in higher education. In Proceedings of the 2026 ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS 2026) (pp. 315–329). ACM. https://doi.org/10.1145/3811242.3819102
 

Rofi, I. B., Eshita, M. M., Chakma, A., Ahmed, M. S., Haque, S. M. T., & Noor, J. (2025). The good, the bad and the ugly: The opportunities, challenges and the mitigation strategies of the young Indigenous social media users of the Chittagong Hill Tracts in Bangladesh. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (Article 135, pp. 1–22). ACM. https://doi.org/10.1145/3706598.3713268
 

Mollah, M. S. A., Niloy, D. B., Ruhani, H. K., Tasnin, R., Dofadar, D. F., & Ahmed, M. S. (2025). Automated selection of optimal cricket team using machine learning. In 2025 IEEE 7th Symposium on Computers & Informatics (ISCI) (pp. 280–285). IEEE. https://doi.org/10.1109/ISCI65687.2025.11167451
 

Bhuiyan, H. J., Mozumder, M. F., Khan, M. R. I., Ahmed, M. S., & Nahim, N. Z. (2025). Enhancing bidirectional sign language communication: Integrating YOLOv8 and NLP for real-time gesture recognition and translation. In 2025 11th International Conference on Computing and Artificial Intelligence (ICCAI) (pp. 168–174). IEEE. https://doi.org/10.1109/ICCAI66501.2025.00035
 

Ayshi, I. J., Haque, M., Anis, S. M., Tasnim, N., Moontaha, M., Ahmed, M. S., & Hossain, M. I. (2024). Comparative analysis of deep learning and OBIA on satellite images for forest cover monitoring. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 599–603). IEEE. https://doi.org/10.1109/ICCIT64611.2024.11022550
 

Rofi, I. B., Eshita, M. M., Ahmed, M. S., & Noor, J. (2024). Identifying influences: A machine learning and explainable AI approach to analyzing social media addiction resulting from academic frustration. In Proceedings of the 11th International Conference on Networking, Systems, and Security (NSysS 2024) (pp. 128–136). ACM. https://doi.org/10.1145/3704522.3704529
 

Trisha, A. S., Rofi, I. B., Eshita, M. M., Biswas, J., & Ahmed, M. S. (2023). Content, consumption, and productivity: An empirical analysis of compact streaming and reel content's effects on the productivity of today's emerging generation. In 2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA) (pp. 181–186). IEEE. https://doi.org/10.1109/SKIMA59232.2023.10387365
 

Tanu, M. D., Faisal, S. F., Majumder, S., Sristy, M. R., Paul, R., Hossain, M. I., & Ahmed, M. S. (2023). Hybrid steganography: A multi-layered framework for hybrid text and image concealment enhanced by AES and LSB techniques. In 2023 16th International Conference on Security of Information and Networks (SIN) (pp. 1–6). IEEE. https://doi.org/10.1109/SIN60469.2023.10474670
 

Biswas, J., Mridha, A. A., Hossain, M. S., Trisha, A. S., Ahmed, M. S., & Hossain, M. I. (2023). Interpretable credit card fraud detection using machine learning leveraging SHAP. In 2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT) (pp. 1206–1211). IEEE. https://doi.org/10.1109/ICEICT57916.2023.10245439
 

Ahmed, M. S., Iqbal, K. N., & Alam, M. G. R. (2023). Interpretable lung cancer detection using explainable AI methods. In 2023 International Conference for Advancement in Technology (ICONAT) (pp. 1–6). IEEE. https://doi.org/10.1109/ICONAT57137.2023.10080480
 

Tazalli, T., Aunshu, Z. A., Liya, S. S., Hossain, M., Mehjabeen, Z., Ahmed, M. S., & Hossain, M. I. (2022). Computer vision-based Bengali sign language to text generation. In 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS) (pp. 1–6). IEEE. https://doi.org/10.1109/IPAS55744.2022.10052928
 

Ahmed, M. S., Afrose, S., Adnan, A., Khanom, N., Hossain, M. S., Mehedi, M. H. K., & Rasel, A. A. (2022). Comparative analysis of interpretable mushroom classification using several machine learning models. In 2022 25th International Conference on Computer and Information Technology (ICCIT) (pp. 31–36). IEEE. https://doi.org/10.1109/ICCIT57492.2022.10055555
 

Dofadar, D. F., Abdullah, H. M., Khan, R. H., Rahman, R., & Ahmed, M. S. (2022). A comparative analysis of lumpy skin disease prediction through machine learning approaches. In 2022 4th IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). IEEE. https://doi.org/10.1109/IICAIET55139.2022.9936742
 

Joy, S. K. S., Dofadar, D. F., Khan, R. H., Ahmed, M. S., & Rahman, R. (2022). A comparative study on COVID-19 fake news detection using different transformer-based models. In 2022 IEEE Symposium on Industrial Electronics and Applications (ISIEA). IEEE. https://doi.org/10.1109/ISIEA54517.2022.9873797
 

Ahmed, M. S., Rahman, R., Hossain, S., & Mohammad, S. A. (2021). Brain tumor prediction by analyzing MRI using deep learning architectures. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 1493–1498). IEEE. https://doi.org/10.1109/ICIRCA51532.2021.9545077
 

Ahmed, M. S., Rahman, R., Arefeen, Z. R., Alam, A., & Tahreen, M. (2021). Effort to mitigate malaria via early detection using hybrid machine learning architectures. In 2021 31st International Conference on Computer Theory and Applications (ICCTA) (pp. 155–159). IEEE. https://doi.org/10.1109/ICCTA54562.2021.9916630
 

Hossain, S., Rahman, R., Ahmed, M. S., & Islam, M. S. (2020). Pneumonia detection by analyzing X-ray images using MobileNET, ResNET architecture and long short-term memory. In 2020 30th International Conference on Computer Theory and Applications (ICCTA) (pp. 60–64). IEEE. https://doi.org/10.1109/ICCTA52020.2020.9477664

Academic Leadership & Institutional Roles

Vice Chair, Asia SIGCHI Committee, ACM SIGCHI (2026–Present)

Co-Founder and Assistant Director, Human-Centered Computing and Society (HCCS) Research Group, BRAC University (2026–Present)

Treasurer, ACM SIGCHI Dhaka Chapter (2026–Present)

Undergraduate Program Coordinator, Department of Computer Science and Engineering, BRAC University (May 2024–Present)

Student Tutor Program Coordinator, Department of Computer Science and Engineering, BRAC University (June 2024–Present)

Freshers' Advising Coordinator, Department of Computer Science and Engineering, BRAC University (2022–Present)

Facilitator, BRAC University Faculty Induction Program (BFIP), Learning and Teaching Innovation Centre (LTIC), BRAC University (July 2025–Present)

Central Point of Contact (CPOC), AWS Academy, BRAC University (2025–Present)

Institutional Contact Point, Microsoft Learn for Educators, BRAC University (2025–Present)

Teacher Ambassador, DataCamp Classrooms (2025–Present)
 

Academic Appointments

Senior Lecturer, Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh
January 2026–Present

Lecturer, Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh
January 2023–December 2025

Lecturer (Contractual), Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh
June 2021–December 2022
 

Previous Teaching Experience

Student Tutor (Undergraduate Teaching Assistant), Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh
February 2020–May 2021

• Excellence in Service Award (2026), Department of Computer Science and Engineering, BRAC University, for exemplary service to the department.
• Excellence in Service Award (2025), Department of Computer Science and Engineering, BRAC University, for exemplary service to the department.
• Awarded Vice Chancellor’s Honor List for 9 consecutive semesters during my Bachelor of Science in Computer Science and Engineering at Brac University.
• Merit Scholarship Based on BracU Academic Results in both BSc and MSc.
• General Scholarship in Secondary School Certificate (SSC).

CSE437 – Data Science: Coding with Real-World Data (Theory)
CSE421 – Computer Networks (Theory)
CSE110 – Programming Language I (Theory)
CSE111 – Programming Language II (Theory)
CSE472 – Human-Computer Interface (Laboratory)
CSE427 – Machine Learning (Laboratory)
CSE422 – Artificial Intelligence (Laboratory)
CSE471 – Systems Analysis and Design (Laboratory)
CSE421 – Computer Networks (Laboratory)
CSE330 – Numerical Methods (Laboratory)
CSE110 – Programming Language I (Laboratory)
CSE111 – Programming Language II (Laboratory)
CSE101 – Introduction to Computer Science (Laboratory)

• Master of Science in Computer Science and Engineering, BRAC University, Dhaka, Bangladesh, 2025
• Bachelor of Science in Computer Science and Engineering, Brac University, Dhaka, June 2021
• Higher Secondary School Certificate Examination, Rajuk Uttara Model College, Dhaka, 2016
• Secondary School Certificate Examination, Government Laboratory High School, Rajshahi, 2014

• Treasurer, ACM SIGCHI Dhaka Chapter
• Professional Member, Association for Computing Machinery (ACM)
• Member, ACM Special Interest Group on Computer–Human Interaction (SIGCHI)