Consolatina Liguori

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About

Consolatina Liguori is a leading researcher in measurement science and instrumentation, with a particular focus on uncertainty assessment in artificial intelligence (AI)-based measurement systems. Her work addresses the critical challenge of quantifying reliability in modern measurement techniques, especially as AI methodologies become increasingly embedded in both research and industrial applications. Her highly cited 2023 survey on uncertainty assessment in artificial neural network (ANN)-based measurements (13 citations) provides a foundational framework for evaluating the trustworthiness of AI-driven measurement tools, a rapidly growing area of concern. Liguori has also made notable contributions to medical image measurement and characterization, where she investigates the extraction of mechanical and thermal stresses during surgery—a key factor in improving the safety and precision of both traditional and robotic surgical procedures. Her 2020 paper on this topic (4 citations) highlights the importance of accurate contact sensing with surgical instruments to prevent erroneous tissue handling. Through her work, Liguori bridges the gap between advanced computational methods and practical measurement challenges, offering essential guidance for researchers and engineers developing next-generation measurement systems.