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About

Valeriya Gribova is a researcher whose work spans artificial intelligence, autonomous robotics, and biomedical decision support. Her most impactful contribution, "Application of artificial intelligence techniques for fault diagnostics of autonomous underwater vehicles" (2016, 31 citations), addresses a critical challenge in marine robotics: ensuring mission success through intelligent monitoring and emergency systems. This work has become a foundational reference for researchers developing fault-tolerant autonomous underwater vehicles (AUVs). Gribova has also advanced autonomous mission planning, proposing methods for real-time mission correction under uncertainty. Notably, she applies her AI expertise to healthcare, developing knowledge bases for medical decision support systems targeting complex treatments like multidrug-resistant tuberculosis. Her interdisciplinary approach extends to manufacturing, where she explores real-time temperature control in laser additive processes. Gribova’s work demonstrates a consistent focus on intelligent systems that operate under uncertainty—whether underwater, in clinical settings, or in industrial production. Her research bridges theoretical AI methods with practical, high-stakes applications, making her contributions valuable across robotics, medicine, and advanced manufacturing.