I am looking for partners in the research area.

I am looking for partners interested in the Horizon Europe Call.

I am looking for partners for the Horizon Europe research area.

I am looking for laboratory facilities in the research/application area.

PhD Student

Attila Zoltán Jenei

H-1117 Budapest, Magyar Tudósok krt. 2

+3614631111/4511

jenei@tmit.bme.hu

Groups

Faculty

Faculty of Electrical Engineering and Informatics

Department

Department of Telecommunications and Media Informatics

Research keywords: · Parkinson-disease · depression · classification · speech · neural network · recognition · support vector machine
Horizon Europe keywords: · Artificial Intelligence and Robotics · Health technologies, new tools and solutions

Google Scholar - https://scholar.google.hu/citations?hl=hu&view_op=list_works&gmla=AJsN-F5gHAluXYFMY5XjaWc0K7Xl4GotSIjJ5LAeho_3rm7G5a4Ff8u0PQKHrJUHQuBSGt1us_ESiWqmqHsqCMAnsGvL-bxr_i6IUUdAY5PRMoN5qZYPzLM&user=HPkDaMoAAAAJ

ResearchGate - https://www.researchgate.net/profile/Attila-Jenei-3

LinkedIn - https://www.linkedin.com/in/attila-zolt%C3%A1n-jenei-a44135125/

Publications Awards Projects Conferences

Publications

Sztahó, D., Jenei, A., Valálik, I. and Vicsi, K. The Effect of Speech Fragmentation and Audio Encodings on Automatic Parkinson's Disease Recognition. 2022, Journal of Biomedical Science and Engineering, 15, pp. 6-25, https://www.scirp.org/journal/paperinformation.aspx?paperid=114502

Rozmán, P., Sztahó, D., Kiss, G., Jenei, A. Automatic recognition of depression and Parkinson's disease by LSTM networks using sample chunking. 2021. szeptember 23-25, 12th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), pp. 163-166 https://scitope.com/coginfocom21/

Jenei, A., Sztahó, D. (2022) Length Analysis of Speech to be Recorded in the Recognition of Parkinson's Disease. 2022. január 27-28, XVIII. Magyar Számítógépes Nyelvészeti Konferencia, Szeged, Magyarország, pp. 137-149. https://rgai.inf.u-szeged.hu/sites/rgai.inf.u-szeged.hu/files/mszny2022.pdf

Jenei, A., Kiss, G., Tulics, M. G., Sztahó, D. Separation of Several Illnesses Using Correlation Structures with Convolutional Neural Networks. 2021, Acta Polytechnica Hungarica, vol. 18, no. 7, pp. 47-66. http://acta.uni-obuda.hu/Jenei_Kiss_Tulics_Sztaho_114.pdf

Awards

Huszty Dénes Commemorative Award (2020), Student Research Societies (2017, 2019)

Projects

Diagnostic possibilities of speech disorders caused by abnormal speech-forming organ lesions, neurological and psychiatric disorders using artificial intelligence, 2018.10.01-2022.09.30, researcher participant, K, OTKA
FORENSICspeech: Forensic Voice analysis using Hungarian follow-up voice database, 2018.11.01-2024.05.31, researcher participant, FK, OTKA

Conferences

International Conference on Cognitive Infocommunications (CogInfoCom), 2021. sept, online, presenter
International Conference on Telecommunications and Signal Processing (TSP), 2020. jul, Milan, Italy, presenter
International Workshop: Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA), 2021. december, Florence, Italy, presenter