معرفی
Dr. Sazia Mahfuz is an Assistant Professor at the Jodrey School of Computer Science, Acadia University. She holds a Ph.D. from Queen’s University, an M.Sc. from Acadia University, and a B.Sc. from the University of Dhaka, Bangladesh. Her research focuses on Streaming IoT Data Analytics, Lifelong Machine Learning, and Medical Image Analytics, addressing challenges in real-time data processing, adaptive learning systems, and healthcare technology.
Dr. Mahfuz’s work spans interdisciplinary applications including human activity recognition, vehicular sensor data classification, and diabetic retinopathy detection using deep learning. Her recent contributions emphasize hybrid architectures (CNN-RNN), transformer-based models, and frameworks for multi-level data analytics. She has published extensively on topics ranging from wearable sensor optimization to distributed data stream processing.
Her research trends highlight a strong emphasis on IoT-enabled healthcare solutions and lifelong machine learning algorithms that generate synthetic examples to improve model adaptability. While no awards are listed, her articles reflect significant engagement with both theoretical and applied computer science domains. No advising or grant information is provided in the text.
