Faria Hossain

Faria Hossain serves as an Hourly Paid Lecturer in the Computer Science and Informatics department at an institution not explicitly named in the available information. She completed her PhD in Creative Technologies in 2022 and maintains active research in digital image analysis and forgery detection.

Her research interests focus on digital image forensics and deep learning applications for media authentication. Specifically, she investigates ResNet models for forgery detection, dataset creation for training forgery detection systems, and subjective evaluation methodologies for assessing image authenticity. Her work intersects with computer vision and artificial intelligence, with practical applications in digital media verification.

Dr. Hossain's publication record shows consistent output with two conference papers between 2022-2023, both presented at IEEE conferences. These works demonstrate her specialization in developing and benchmarking forgery detection systems, with particular attention to dataset quality and model performance evaluation across different data sources.

She has also contributed as a researcher to the Forgery Image Dataset project, collaborating with A. Dagiuklas, A. Gul, R. Raja, and C. Galkandage. This dataset was published through IEEE in January 2022 and appears to support her research in image forgery detection.