Corneliu Burileanu

Universitatea Națională de Știință și Tehnologie Politehnica București

Papers

Total Citations

H-Index

About

Corneliu Burileanu is a leading figure in biomedical signal processing and human–machine interaction, with a particular focus on electromyography (EMG)-based gesture recognition. His most cited work, a 2019 study on automatic hand gesture recognition using time-domain descriptors and fully-connected neural networks, has garnered 28 citations and demonstrates a fast, accurate method for identifying hand gestures from EMG signals. This research has direct applications in prosthetics, robotic manipulation, and UAV control, showcasing Burileanu’s ability to bridge engineering innovation with real-world medical and military needs. Beyond this flagship paper, his broader contributions span speech processing, pattern recognition, and intelligent systems, where he has advanced the integration of machine learning with physiological signal analysis. Burileanu’s impact is evident in the consistent citation of his work by researchers developing assistive technologies and human–robot interfaces. His achievements include leading interdisciplinary projects that translate algorithmic advances into practical tools, making him a respected authority in the field. For students and researchers, Burileanu’s career exemplifies how targeted signal processing can unlock new capabilities in human–machine collaboration.