Mandana Kariminejad
Papers
1
Total Citations
22
H-Index
1
About
Mandana Kariminejad is a researcher whose work sits at the intersection of advanced control systems and sustainable manufacturing, with a particular focus on state estimation and sensor fusion. Her most-cited paper, “State Estimators in Soft Sensing and Sensor Fusion for Sustainable Manufacturing” (2022, 22 citations), provides a comprehensive analysis of how model-based algorithms—including observers and Bayesian filters—can derive fast, accurate estimates of unmeasurable system variables from available sensor data. This contribution is pivotal for improving process efficiency, reducing waste, and enabling real-time decision-making in industrial settings. Kariminejad’s research addresses critical challenges in manufacturing sustainability by enhancing the reliability of soft sensors and multi-sensor integration. Her work demonstrates how theoretical advances in dynamical systems can be translated into practical tools for cleaner, smarter production. With growing recognition in the control and manufacturing communities, Kariminejad is establishing herself as a key voice in the push toward data-driven, resource-efficient industrial processes.
Research Focus
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Top Papers
- 1