معرفی
Nesma HOUMANI is a Lecturer at Telecom SudParis, part of the SAMOVAR research team. Her work focuses on biomedical signal processing, neuroimaging, and biometric authentication systems. She has contributed to Alzheimer’s disease detection via EEG analysis, gait quality measurement for neurological disorders, and neurofeedback applications for cognitive enhancement.
Education:
- PhD in Biomedical Signal Processing (2011) from National Institute of Telecommunications (Institut National de Télécommunications)
Research Interests:
- EEG-based diagnostics for neurological disorders
- Biometric systems (online signatures, gait analysis)
- Neurofeedback and neuromodulation
- Machine learning for medical signal analysis
Recent Article Trends: Her recent work (2020-2025) emphasizes clinical applications of signal processing in Alzheimer’s detection, gait deviation measurement for hemiparesis patients, and neurofeedback for cognitive reserve enhancement in the elderly. Collaborations span interdisciplinary teams in neuroscience, engineering, and medicine.
Patents:
- "Method for generating information about the production of a handwritten, hand-affixed or printed trace" (US 11989979B2, 2024)
- "Identity verification method using handwritten signatures on digital sensors" (EP3942442, 2022)
Grants & Labs: Active in SAMOVAR’s projects on biomedical signal analysis and neurotechnology. Involved in multidisciplinary initiatives like the BV2 wellbeing project for chronic disease patients.
