Sadia Afrin is a Lecturer in the Department of Computer Science and Engineering at the World University of Bangladesh. She completed her MSc in Computer Science with a specialization in Intelligent Systems from American International University-Bangladesh (AIUB), graduating with Summa Cum Laude distinction and Dean’s List Honor. Prior to that, she earned her BSc in Computer Science and Engineering with a major in Software Engineering, also from AIUB, graduating with Magna Cum Laude distinction and Dean’s List Honor.
Her areas of expertise include deep learning, computer vision, medical image analysis, explainable AI (XAI), and sentiment-based recommendation systems, with multiple peer-reviewed publications in prestigious journals such as Scientific Reports (Nature), Elsevier, and Springer. She has conducted impactful research on early melanoma detection, oral and liver cancer diagnosis, and cross-domain sentiment modeling using BERT-BiLSTM architectures.
In addition to her academic work, she served as a Research Assistant at the Computer Vision and Bio-Robotics Lab at AIUB, where she contributed to the development of deep learning models for healthcare and surveillance.
Sadia is passionate about student mentorship, interdisciplinary research, and inclusive learning environments. She has held leadership roles in IEEE WIE, organized technical events, and contributed to the academic community through workshops, conference presentations, and voluntary outreach.
