Vyacheslav Nadvoretskiy, PhD: About the Author
Principal Data Scientist, Pinnacle
Dr. Vyacheslav Nadvoretskiy is a Principal Data Scientist at Pinnacle, where he develops innovative solutions to generate data-driven insights into the reliability of industrial assets. He specializes in developing algorithms and software tools to process customer data and assess and minimize risks, improving asset reliability and efficiency. Dr. Nadvoretskiy holds a PhD in Math and Physics from the Moscow Technical University of Electronics and Computer Science (Moscow, Russia), where he also studied Biomedical Engineering. He has over 20 publications in the areas of magnetic nanofluids, ultrasound and photoacoustic tomography, signal and image processing, and machine learning applications. His research interests include image reconstruction and processing algorithms, medical ultrasound, and industrial applications of artificial intelligence.
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Published Articles
The authors delve into a crucial data integrity challenge known as 'Suspicious Time Periods,' shedding light on the impact of historical inspection data.
A discussion of common data challenges and how facilities can leverage data science and statistics to identify and potentially correct suspicious data.
