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About

Igor Nelin is a researcher at the forefront of biomedical instrumentation and intelligent systems, whose work bridges non-invasive medical diagnostics with advanced computational modeling. His primary research areas include microwave radiometry for internal temperature monitoring, the development of specialized textile antennas for medical robotics, and the application of neural networks for image recognition. Nelin’s most impactful contribution is the development of a miniature microwave radiothermograph for non-invasive monitoring of internal brain temperature, a compact system integrating a printed antenna sensor with a small radiometer, designed to provide physicians with a practical tool for continuous thermal assessment. This work, his most cited (11 citations), addresses a critical need in neurocritical care. He has also pioneered the use of FDTD computational modeling to design patch textile antennas for medical robots, enabling flexible, wearable sensing solutions. In the realm of artificial intelligence, Nelin has explored Kohonen self-organizing maps to improve the accuracy and speed of object detection algorithms by efficiently identifying regions of interest in images. His research demonstrates a clear commitment to translating complex engineering principles into tangible medical devices, with a focus on miniaturization, patient comfort, and real-time clinical utility.