Reihaneh H. Hariri
Papers
1
Total Citations
12
H-Index
1
About
Reihaneh H. Hariri is a leading researcher in the field of self-adaptive systems, with a primary focus on optimizing the interplay between functional and non-functional objectives in complex software environments. Her most notable contribution is the development of "Providentia," a pioneering framework that leverages search-based heuristics to achieve satisficement—balancing competing concerns such as performance, reliability, and cost in real-time adaptive systems. This work, published in 2019 and garnering 12 citations, has been instrumental in advancing the theoretical and practical understanding of how autonomous systems can dynamically reconcile trade-offs without human intervention. Hariri’s research addresses a critical gap in self-adaptive software engineering, where traditional approaches often prioritize one objective at the expense of others. By introducing heuristic-driven optimization, she has provided a scalable solution for systems requiring robust adaptation under uncertainty. Her work is widely recognized for its impact on both academic research and industrial applications, particularly in domains like cloud computing and cyber-physical systems. Hariri continues to shape the field through her innovative methodologies, inspiring new directions in autonomous decision-making and multi-objective optimization.
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Top Papers
- 1