Eni Dwi Wardihani
Papers
2
Total Citations
6
H-Index
2
About
Eni Dwi Wardihani is a researcher whose work sits at the intersection of computer vision, intelligent systems, and biomedical diagnostics. Her research focuses on developing practical, technology-driven solutions for real-world challenges, particularly through image processing and machine learning. In her 2019 study, Wardihani designed an angular detection system for goal frames using LabVIEW-based image processing, demonstrating how computer vision can enhance object identification and improve output quality in sports and automation contexts. More recently, she has turned to pressing societal issues, contributing to the detection of methamphetamine in urine through an ensemble learning approach that employs soft voting. This 2020 work, which has garnered citations for its relevance to the global drug abuse crisis, showcases her ability to apply artificial intelligence to critical health and safety problems. While her citation counts are modest, Wardihani’s contributions are notable for their interdisciplinary nature—bridging engineering, public health, and smart technology—and for their potential to support safer, more intelligent communities. Her research reflects a commitment to leveraging advanced computational tools for tangible, socially impactful applications.
Research Focus
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Top Papers
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