Organizer

Assoc. Prof. Dr. Azhar Imran Mudassir Beijing University of Technology, China Email: azharimran63@gmail.com Research Areas: Machine learning and deep learning–based image analysis

This special session focuses on recent advances in deep learning techniques for medical image–based disease diagnosis, highlighting how modern machine learning models are transforming healthcare decision-making. The session will cover state-of-the-art deep learning architectures, including convolutional neural networks and vision transformer–based models, for analyzing medical imaging modalities such as X-ray, CT, MRI, ultrasound, and histopathology images.
Key topics include image preprocessing and feature learning, transfer learning and self-supervised learning for limited medical data, multimodal learning, and explainable AI techniques to improve model transparency and clinical trust. The session will also address challenges related to data imbalance, generalization across institutions, robustness, and ethical considerations in deploying deep learning systems in real-world healthcare environments.
By bringing together researchers and practitioners from machine learning, deep learning, and medical imaging communities, this session aims to provide insights into current research trends, practical applications, and future directions for intelligent and reliable disease diagnosis systems based on medical image analysis.

Special Session Submission Link: https://www.zmeeting.org/submission/acmlc2026

Organizer:

Azhar Imran Mudassir received his PhD in Software Engineering from Beijing University of Technology, China, and his Master’s degree in Computer Science from the University of Sargodha, Pakistan. He is currently an Associate Professor in Computer Science, with research and teaching focused on machine learning and deep learning–based image analysis.
Dr. Mudasir has over 13 years of national and international academic experience. His research interests include medical image analysis, machine learning, deep learning, explainable AI, healthcare informatics, and social media analytics. He has published more than 100 research articles in well-reputed international journals and conferences and actively serves as an editorial board member and reviewer for several SCI- and Scopus-indexed journals, including IEEE Access and MDPI journals. He is a regular member of IEEE and has contributed to numerous international conferences as a keynote speaker, invited speaker, session chair, and technical committee member.