Shoaib Jameel

Dr. Shoaib Jameel is an Associate Professor at the University of Southampton, with a focus on interdisciplinary research at the intersection of Artificial Intelligence, Machine Learning, and Health Informatics. He is part of the Web and Internet Science research groups and the Centre for Machine Intelligence. His work emphasizes developing AI-driven solutions for social media analysis, mental health monitoring, and scientific collaboration assessment. Current research includes multimodal fake news detection, parameter-efficient large language models, and human-AI hybrid systems for scientometric analysis.

Education and career details are not explicitly listed, but his profile highlights roles in supervising PhD students in Computer Science and active participation in cutting-edge AI research. He collaborates extensively with industry and academic partners, addressing real-world challenges through innovative machine learning frameworks.

Research interests span natural language processing, deep learning architectures, and applications in healthcare and education. Notable contributions include frameworks like GAMED for fake news detection and CLEFT for analyzing user engagement in educational videos. His work is published in top venues such as the Artificial Intelligence Review, IEEE journals, and conferences like ACM.

Dr. Jameel currently supervises three PhD students: Lingzhi Shen (Computer Science), Ubaid Azam (Computer Science), and Inamullah (Computer Science). He actively accepts new PhD applications in AI-related fields.