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SAMIA AHMED

SAMIA AHMED

Lecturer

Department of Information and Communication Technology
Faculty of Science & Technology (FST)

samia@bup.edu.bd

BANGLADESH UNIVERSITY OF PROFESSIONALS
Mirpur Cantonment, Dhaka-1216

Biography

Samia Ahmed serves as a lecturer in the Department of Information and Communication Technology at Bangladesh University of Professionals (BUP). She holds a BSc and MSc in Information and Communication Engineering from BUP. Besides that, she also worked as a Teaching Assistant at the Department of ICT at Bangladesh University of Professionals. Many of her research works have been published in international peer-reviewed journals, conferences, and book chapters. Her research interests include Machine Learning, Artificial Intelligence, Explainable AI, healthcare applications of intelligent systems, and Human-Computer Interaction (HCI). She has worked on research involving PCOS, personalized learning, and other healthcare and assistive technology-related ML applications. For her excellent results in the faculty, she was awarded the Vice Chancellor Gold Medal in 2023.

Last Updated: 19 Oct 2026

Last Updated: 19 Oct 2026

Education
S.S.C, Bhola Government Girls' High School
H.S.C, Bhola Government College
Honors, Bangladesh University of Professionals
Masters, Bangladesh University of Professionals

Last Updated: 19 Oct 2026

Journal Publication
1. Ahmed, S., Rahman, M. S., Jahan, I., Kaiser, M. S., Hosen, A. S., Ghimire, D., & Kim, S. H. (2023). A review on the detection techniques of polycystic ovary syndrome using machine learning. IEEE Access, 11, 86522-86543.
2. Ahmed, S., Rahman, M. S., Kaiser, M. S., & Hosen, A. S. (2025). Advancing personalized and inclusive education for students with disability through artificial intelligence: perspectives, challenges, and opportunities. Digital, 5(2), 11.
3. Ahmed, S., Esha, J. F., Rahman, M. S., Kaiser, M. S., Hosen, A. S., Ghimire, D., & Park, M. J. (2024). Exploring deep learning and machine learning approaches for brain hemorrhage detection. IEEE Access, 12, 45060-45093.
4. Taher, K. A., Ahmed, S., Esha, J. F., Rahman, M. S.,  Hosen, A. S. (2025). Multilayer stacking for polycystic ovary syndrome diagnosis. IAES International Journal of Artificial Intelligence (IJ-AI), 14, 1968-1975

Last Updated: 19 Oct 2026

Conference Papers
1. Ahmed, S., Taher, K. A., & Kaiser, M. S. (2025, November). Exploring Stacking Algorithm for PCOS. In Proceedings of the Sixth International Conference on Trends in Computational and Cognitive Engineering: TCCE 2024 (p. 57). Springer Nature.
2. Jahan, I., Ahmed, S., Kaiser, M. S., & Hossain, M. S. (2024, December). Anemia Detection Using Explainable Boosting Machine. In International Conference on Trends in Electronics and Health Informatics 2024 (pp. 203–216). Springer Nature Singapore.
3. Naser, F., Esha, J. F., Ahmed, S., & Ullah, S. M. (2026, April). PDNet: A Deep Convolutional Neural Network for Detecting Parkinson's Disease. In 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) (pp. 1–5). IEEE.

Last Updated: 19 Oct 2026

Researchs
Application of Machine Learning Deep Learning Artificial Intelligence Human Computer Interaction

Last Updated: 19 Oct 2026

Awards
Chancellor's Gold Medal 2023

UGC Merit Scholarship

Vice Chancellor Scholarship 2018

Dean's Appreciation Letter

BUP scholarship (2018-2021)

Last Updated: 19 Oct 2026

Courses
  1. Data Communication
  2. Data Communication Lab
  3. Machine Learning Lab

Last Updated: 19 Oct 2026

S.S.C, Bhola Government Girls' High School
H.S.C, Bhola Government College
Honors, Bangladesh University of Professionals
Masters, Bangladesh University of Professionals

Last Updated: 19 Oct 2026

1. Ahmed, S., Rahman, M. S., Jahan, I., Kaiser, M. S., Hosen, A. S., Ghimire, D., & Kim, S. H. (2023). A review on the detection techniques of polycystic ovary syndrome using machine learning. IEEE Access, 11, 86522-86543.
2. Ahmed, S., Rahman, M. S., Kaiser, M. S., & Hosen, A. S. (2025). Advancing personalized and inclusive education for students with disability through artificial intelligence: perspectives, challenges, and opportunities. Digital, 5(2), 11.
3. Ahmed, S., Esha, J. F., Rahman, M. S., Kaiser, M. S., Hosen, A. S., Ghimire, D., & Park, M. J. (2024). Exploring deep learning and machine learning approaches for brain hemorrhage detection. IEEE Access, 12, 45060-45093.
4. Taher, K. A., Ahmed, S., Esha, J. F., Rahman, M. S.,  Hosen, A. S. (2025). Multilayer stacking for polycystic ovary syndrome diagnosis. IAES International Journal of Artificial Intelligence (IJ-AI), 14, 1968-1975

Last Updated: 19 Oct 2026

1. Ahmed, S., Taher, K. A., & Kaiser, M. S. (2025, November). Exploring Stacking Algorithm for PCOS. In Proceedings of the Sixth International Conference on Trends in Computational and Cognitive Engineering: TCCE 2024 (p. 57). Springer Nature.
2. Jahan, I., Ahmed, S., Kaiser, M. S., & Hossain, M. S. (2024, December). Anemia Detection Using Explainable Boosting Machine. In International Conference on Trends in Electronics and Health Informatics 2024 (pp. 203–216). Springer Nature Singapore.
3. Naser, F., Esha, J. F., Ahmed, S., & Ullah, S. M. (2026, April). PDNet: A Deep Convolutional Neural Network for Detecting Parkinson's Disease. In 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) (pp. 1–5). IEEE.

Last Updated: 19 Oct 2026

Last Updated:

Application of Machine Learning Deep Learning Artificial Intelligence Human Computer Interaction

Last Updated: 19 Oct 2026

Chancellor's Gold Medal 2023

UGC Merit Scholarship

Vice Chancellor Scholarship 2018

Dean's Appreciation Letter

BUP scholarship (2018-2021)

Last Updated: 19 Oct 2026

  1. Data Communication
  2. Data Communication Lab
  3. Machine Learning Lab

Last Updated: 19 Oct 2026