Marzieh Khakifirooz
Papers
5
Total Citations
140
H-Index
3
About
Marzieh Khakifirooz is a leading researcher at the intersection of operations research, data science, and smart manufacturing, with a particular focus on the semiconductor industry. Her work is instrumental in advancing Industry 4.0 by developing data-driven frameworks that enhance yield, productivity, and process control. Her most influential paper, "Bayesian inference for mining semiconductor manufacturing big data for yield enhancement and smart production to empower industry 4.0" (2017), has garnered 87 citations, establishing a foundational approach for leveraging big data in high-tech production environments. She further explores the integration of operations research and data science in "Development of Smart Semiconductor Manufacturing" (2019, 33 citations), offering critical perspectives on how these disciplines can drive sustainable growth in the smart world. Khakifirooz has also contributed system dynamics models for implementing Industry 4.0 and pioneered the concept of an Ambient-Intelligent Decision Support System (Am-IDSS) for smart manufacturing, merging artificial intelligence with real-time sensor networks. Her work consistently bridges theoretical modeling with practical, data-enabled decision-making, making her a key voice in the transformation of global manufacturing towards greater intelligence and efficiency.
Research Focus
Key Achievements
Top Papers
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- 3A System Dynamic Model for Implementation of Industry 4.014 citations · 2018
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