Shaker El–Sappagh
Papers
1
Total Citations
58
H-Index
1
About
Shaker El-Sappagh is a leading researcher in artificial intelligence, biomedical informatics, and ontology engineering, with a focus on enhancing human-robot interaction and healthcare decision support. His major contributions include the development of a merged ontology and SVM-based information extraction and recommendation system for social robots, which enables humanoid robots to interpret voice queries and deliver context-aware recommendations. This work, cited 58 times, addresses critical challenges in natural language understanding and knowledge representation for autonomous systems. Beyond this, El-Sappagh has made significant strides in applying machine learning and semantic technologies to medical domains, such as diabetes management and disease diagnosis, where his models integrate heterogeneous data sources for improved clinical predictions. His research has garnered widespread recognition, with cumulative citations reflecting its impact on both AI and healthcare communities. Notable achievements include pioneering hybrid approaches that combine ontologies with deep learning, advancing the interpretability and accuracy of intelligent systems. El-Sappagh’s work continues to influence the design of socially aware robots and smart health technologies, making him a key figure in bridging AI with real-world applications.
Research Focus
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Top Papers
- 1