معرفی
Dr. Mohamed Saadeldin is an Assistant Professor at the School of Computer Science, University College Dublin (UCD). He holds a B.Sc. (Honours) in Electrical & Electronic Engineering from the University of Khartoum (2005) and a Ph.D. in Computer Science from UCD (2013). His research spans generative AI, computer vision, and foundation models, with applications in healthcare, biomedicine, robotics, and energy. Recently, he has focused on AI-driven solutions for healthcare disparities, such as automated breast cancer screening using low-cost ultrasounds, and multimodal foundation models for precision medicine. He also explores LLM-driven UAV navigation and energy grid management using transformer models.
- Education:
- B.Sc. (Honours) in Electrical & Electronic Engineering, University of Khartoum, 2005
- Ph.D. in Computer Science, University College Dublin, 2013
- Teaching:
- Coordinates modules in Computer Graphics, Data Structures and Algorithms, and Mobile Computing at UCD’s joint college in China (BDIC).
His research interests include generative AI for healthcare, computer vision in robotics, and deep learning for agricultural optimization. Notable projects include vision foundation models for medical imaging, collaboration with Systems Biology Ireland on multimodal models for drug repurposing, and energy grid management via smart meter data analysis. He has authored/co-authored over 30 publications, including IEEE transactions and book chapters.
Grants and collaborations involve industry partnerships on load disaggregation and academic projects like VistaMilk for dairy sector applications. His early work on ultrasonic systems for indoor localization and gesture control demonstrates his long-standing expertise in signal processing and human-AI interaction.
