معرفی
Dr. Jingjing Deng is an academic member of the Department of Computer Science at Swansea University since 2018. His research focuses on machine learning and artificial intelligence, spanning theoretical foundations to practical biomedical applications. He is affiliated with the Computer Vision and Machine Learning group (CSVision) and contributes to interdisciplinary projects.
Key research areas include federated learning, medical image processing, graph neural networks, and AI-driven biomedical solutions. Recent work emphasizes secure federated learning frameworks, 3D medical image compression, and directed graph CNNs for fault detection. His contributions bridge theory and application, addressing challenges in healthcare and computer vision.
Publications highlight innovations in federated learning vulnerabilities (GRNN attack), medical imaging compression (MedZip), and temporal link prediction. Supervised PhD topics include federated learning leakage defense and graph-based deep learning. Collaborations span academia and industry, with a focus on practical AI implementations.
Participates in the School of Mathematics and Computer Science at Swansea, contributing to teaching and research leadership in AI and computational methods.
