Dr. Attila Zoltán Jenei, Phd
Attila is a research assistant at the University where he focuses on the biosignal based desorder classification.
Core skills: Programming (Python), Statistics, Signal processing, Machine Learning
Areas of interest: Biosignals, Artificial Intelligence, Healthcare
Contact information:
Room: IB157
E-mail: jenei.attila.zoltan [@] vik.bme.hu
Current projects
- CELSA program - Identification of language-independent speech and language biomarkers characteristic of dementia (2024-)
- OTKA-K program - Automatic transcription and medical application of dysfluent and abnormal speech (2022-)
Teaching activity
Holding practical and laboratory sessions, writing and correcting class assignments:- Basics of Programming in Python (BMEVIEEBA01)
- Basics of Programming in C (BMEVIEEAA00)
- Speech Information Systems (BMEVITMAD00)
- Diagnostics of Speech and Hearing Disorders (BMEVITMM203)
- Project Laboratory 1 (BMEVITMML00)
- Project Laboratory 2 (BMEVITMML01)
Publication List
PhD Thesis
- The dissertation summarizes the scientific results on the Parkinson's disease multimodal detection with speech, drawings, and movements. The language of the dissertation is English.
The dissertation and the thesis booklets can be found here.
Latest projects
- OTKA-K program - Diagnostic possibilities of speech disorders caused by abnormal speech-forming organ lesions, neurological and psychiatric disorders using artificial intelligence (participation between 2021-2022)
- OTKA-FK program - FORENSICspeech: Forensic Voice analysis using Hungarian follow-up voice database (participation between 2021-2024)
MSc Thesis
Scientific Students’ Associations Conference
- Automatic speech-based recognition of depression with 2D convolutional networks;
Section: Signal Processing (2019, in Hungarian) - Analysis of sampling number based on PDA measurements of air-assested atomizer;
Section: Energy systems modeling (2017, in Hungarian)
Hobbies
- Reading psychology
- Playing guitar
- Hiking
- Swimming