CDMA2025 offers a unique opportunity and exchange platform to academic researchers and industry experts from a wide range of Data Science and Machine Learning areas including, but not restricted to, data analytics, computational intelligence, deep learning, pattern recognition, computer vision, multimedia/intelligent databases, big data, visualization, and related ethical issues.

Theme

Transformative Impact of AI Across all Sectors
AI, Natural Language Processing (NLP), Arabic NLP, Language Models, Large Language Models (LLMs), Text Processing in LLMs, Development and Deployment of LLM Models, Applications of Generative AI in Computer Vision, Computer Vision and Machine Learning Applications in Healthcare: COVID-19 and Medical Imaging, Breast Cancer Detection, Brain Tumor Analysis.

Autonomous Systems and Robotics
Applications of Data Science, Applications in Autonomous Vehicles and Robotics Systems, Social Network Analysis in Robotics, Mining Sequences for Robotics Control, Time Series Analysis in Autonomous Systems, Bioinformatics for Robotic Surgery, Systems Biology for Autonomous Medical Devices, Mining Temporal and Spatial Data for Robotics Navigation, Multimedia Processing in Robotics and Autonomous Systems, Autonomous Systems and Robotics.

Revolutionizing Software Engineering for AI and Computational Intelligence
AI and DS for software engineering automation, Leveraging AI and DS in requirements Engineering, AI and DS based software architecture knowledge extraction, Software faults detection improvement using AI and DS, AI and DS based models for software artifacts’ quality evaluation, AI and DS based computer assisted coding, AI and DS assisted Software Debugging and Testing, Application of AI and DS to Program Analysis, Application of AI and DS to Software Documentation & Summarization, Application of AI and DS in Software Maintenance, Application of AI and DS to Software Optimization
Advancement in technologies of AI and DS for SE, AI and DS based Tools for software engineering, AI and DS for Software Traceability, AI and DS in Quality Assessment and Improvement, AI and DS for Software Reverse Engineering, AI and DS for modeling in software engineering

Graduate Research Poster/Paper
The "Graduate Research Poster/Paper" track, led by the Graduate Unit, will feature student papers and posters on all the above topics. This format allows students to showcase their research in areas such as generative AI, data science, big data, computer vision, and healthcare applications.