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About

Victor Skuratov is a biomedical engineer whose work sits at the intersection of non-invasive diagnostics, microwave radiometry, and intelligent medical robotics. His primary research focuses on developing miniature radiometric systems for internal temperature monitoring, with key contributions in both hardware miniaturization and antenna design. Skuratov led the development of a compact microwave radiothermograph for monitoring internal brain temperature—a device that integrates a miniature radiometer with a printed antenna to provide physicians with a practical, non-invasive tool for thermal assessment. His work on patch textile antennas for medical robots, modeled using FDTD computational techniques, further extends the application of radiometry into robotic-assisted diagnostics. With over 30 citations across his most-cited works, Skuratov’s impact is evident in the growing interest in wearable and implantable thermal sensors. Notably, he has also explored the use of Kohonen neural networks for automated region-of-interest detection in medical imaging, bridging machine learning with radiometric data analysis. His contributions are paving the way for smarter, more compact diagnostic tools that can be integrated into clinical robotics and continuous patient monitoring systems.