Md. Sabbir Ahmed is a Lecturer in the Department of Computer Science and Engineering at BRAC University, Dhaka, Bangladesh. His research interests lie at the intersection of Machine Learning, Data Science, Explainable Artificial Intelligence (XAI), Computer Vision, and Human-Computer Interaction (HCI). He has contributed to several peer-reviewed international publications and actively collaborates on interdisciplinary research projects.

Beyond research, he is deeply involved in academic leadership and student mentorship. He plays a key role in curriculum development and undergraduate thesis supervision, and serves as the Freshers’ Advising Coordinator as well as the ST/TA (Student Tutor/Teaching Assistant) Coordinator. With a strong passion for both research and teaching, he is committed to fostering an engaging, inclusive, and future-ready academic environment.

Journals
 

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. https://doi.org/10.1155/2022/5305353
 

Conferences

Rofi, I. B., Eshita, M. M., Chakma, A., Ahmed, M. S., Haque, S. T., & Noor, J. (2025, April). 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 (pp. 1-22). https://dl.acm.org/doi/full/10.1145/3706598.3713268

Bin Rofi, I., Eshita, M. M., Ahmed, M. S., & Noor, J. (2024, December). 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 (pp. 128-136). https://dl.acm.org/doi/full/10.1145/3704522.3704529

Trisha, A. S., Rofi, I. B., Eshita, M. M., Biswas, J., & Ahmed, M. S. (2023, December). 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, November). 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, July). 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, January). 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, December). 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, December). 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 

Tazalli, T., Aunshu, Z. A., Liya, S. S., Hossain, M., Mehjabeen, Z., Ahmed, M. S., & Hossain, M. I. (2022, December). 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

Dofadar, D. F., Abdullah, H. M., Khan, R. H., Rahman, R., & Ahmed, M. S. (2022, September 13). A comparative analysis of lumpy skin disease prediction through machine learning approaches. 4th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2022. https://doi.org/10.1109/IICAIET55139.2022.9936742
 

Joy, S. K. S., Dofadar, D. F., Khan, R. H., Ahmed, M. S., & Rahman, R. (2022, July 16). A comparative study on COVID-19 fake news detection using different transformer based models. 2022 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2022. 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. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 1493–1498. 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. 31st International Conference on Computer Theory and Applications, ICCTA 2021, 155–159. https://doi.org/10.1109/ICCTA54562.2021.9916630
 

Hossain, S., Rahman, R., Ahmed, M. S., & Islam, M. S. (2020). Pneumonia detection by analyzing Xray images using MobileNET, ResNET architecture and long short term memory. 2021 6th International Conference on Inventive Computation Technologies (ICICT), 60–64. https://doi.org/10.1109/ICCTA52020.2020.9477664

January 2023 - Present
Lecturer [Full-Time], Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh.
Brac University
 

June 2021 - December 2022
Contractual Lecturer, Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh.
Brac University
 

February 2020 - May 2021
Student Tutor, Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh.
Brac University

1. Awarded Vice Chancellor’s Honor List for 9 consecutive semesters during my Bachelor of Science in Computer Science and Engineering at Brac University.

2. Merit Scholarship Based on BracU Academic Results in both BSc and MSc.

3. General Scholarship in Secondary School Certificate (SSC).

CSE110 - Programming Language I Theory
CSE111 - Programming Language II Theory
CSE427 - Machine Learning
CSE421 - Computer Networks Theory
CSE101 - Introduction to Computer Science Laboratory
CSE110 - Programming Language I Laboratory
CSE111 - Programming Language II Laboratory
CSE330 - Numerical Methods Laboratory
CSE421 - Computer Networks Laboratory
CSE422 - Artificial Intelligence Laboratory
CSE471 - Systems Analysis and Design Laboratory

• Masters of Science in Computer Science and Engineering, Brac University, Dhaka, Ongoing
• 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