Dmitrii Kaplun
Papers
1
Total Citations
56
H-Index
1
About
Dmitrii Kaplun is a leading researcher in the intersection of artificial intelligence, biomedical signal processing, and thermal imaging. His most impactful work centers on developing deep learning models for non-invasive physiological monitoring, particularly through the analysis of infrared thermal images. His highly cited 2021 paper on classifying human facial expressions from thermal data—garnering 56 citations—demonstrates a novel approach to affective computing, overcoming limitations of visible-light cameras by leveraging the robustness of thermal imaging. Beyond facial analysis, Kaplun has made significant contributions to the processing of biomedical signals, including electroencephalograms (EEG) and photoplethysmograms (PPG), for applications in health diagnostics and human-computer interaction. His research effectively bridges computer vision and medical engineering, offering practical solutions for remote health monitoring. With a growing citation impact, Kaplun’s work is shaping the future of intelligent, non-contact sensing systems, making him a notable figure in the fields of AI-driven healthcare and thermal image analysis.
Research Focus
Key Achievements
Top Papers
- 1