Emad Eldeen Elakehal
Papers
1
Total Citations
7
H-Index
1
About
Emad Eldeen Elakehal is a researcher whose work sits at the intersection of artificial intelligence, software engineering, and knowledge representation. His key contributions center on leveraging answer set programming (ASP) to model and reason about software requirements, particularly for adaptive business systems. In his most-cited paper, "On requirements representation and reasoning using answer set programming" (2014, 7 citations), Elakehal demonstrates how ASP can provide a formal, declarative framework for capturing complex system requirements, enabling automated reasoning and adaptation. This work advances a vision where AI techniques play a central role in software engineering, moving beyond static specifications toward intelligent, self-adjusting systems. Though his citation count is modest, the conceptual depth of his research offers a foundational perspective for scholars exploring logic-based approaches to requirements engineering. Elakehal’s contributions are especially relevant for those investigating how non-monotonic reasoning can support evolving business rules and dynamic environments, making his work a thoughtful reference point for researchers bridging AI and software design.
Research Focus
Key Achievements
Top Papers
- 1