Michael Sandra
Papers
2
Total Citations
25
H-Index
2
About
Dr. Michael Sandra is a rising scholar in the fields of fuzzy decision-making, industrial automation, and sustainable agricultural systems. Her research focuses on developing novel mathematical frameworks to address complex, multi-criteria selection problems under uncertainty. Dr. Sandra’s major contributions include the introduction of an enhanced decision-making model for industrial robotic selection that uniquely incorporates positive, abstained, and negative grades of membership, offering a more nuanced evaluation tool for manufacturing engineers. She also pioneered a trace-to-median index-based fuzzy decision technique specifically designed for weed management in agricultural systems, directly tackling the environmental and public health crises caused by over-reliance on chemical herbicides. Her most cited works, published in 2024, have already garnered 25 citations, signaling strong early impact and relevance in both the industrial engineering and agri-environmental research communities. Dr. Sandra’s work stands out for its practical application of fuzzy logic to real-world sustainability challenges, bridging the gap between theoretical decision science and pressing ecological needs. She is quickly establishing herself as a key voice in the development of intelligent, environmentally conscious decision-support systems.
Research Focus
Key Achievements
Top Papers
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- 2