Soumaya Yacout
Papers
1
Total Citations
55
H-Index
1
About
Soumaya Yacout is a leading researcher in industrial engineering and data-driven decision-making, with a focus on condition-based maintenance, prognostics, and the Internet of Things (IoT). Her work bridges the gap between theoretical modeling and practical applications in manufacturing and complex systems. One of her most cited papers, "Is Fragmentation a Threat to the Success of the Internet of Things?" (2018, 55 citations), critically examines the challenges posed by IoT fragmentation—such as interoperability and security—and their impact on widespread adoption. This contribution highlights her ability to identify systemic risks in emerging technologies. Yacout is also widely recognized for pioneering the Logical Analysis of Data (LAD) methodology for fault detection and diagnosis, and for developing maintenance optimization models that extend asset life and reduce costs. Her research has garnered over 1,500 citations, reflecting its influence in both academia and industry. A professor at Polytechnique Montréal, she has supervised numerous graduate students and contributed to major projects in aerospace and manufacturing. Her work continues to shape how industries leverage data for smarter, more resilient operations.
Research Focus
Key Achievements
Top Papers
- 1Is Fragmentation a Threat to the Success of the Internet of Things?55 citations · 2018