معرفی
Máté Hireš is an Assistant Professor at the Technical University of Košice's Department of Computers and Informatics. He earned his PhD in computer science from the same institution, specializing in Parkinson's disease diagnosis using deep learning for voice analysis. His doctoral research extended his master's thesis on distributed neural radiance fields for autonomous vehicles.
Hireš's work bridges neural networks, deep learning, and biomedical applications, particularly in analyzing handwriting, speech, and signal data for neurological disorder detection. His publications demonstrate consistent focus on Parkinson's disease diagnostics through innovative machine learning approaches applied to voice recordings and handwriting samples.
Research Focus
- Deep learning for pathological speech detection
- Handwriting analysis for neurodegenerative diseases
- Robust diagnostic model development
- Biomedical signal processing
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