معرفی
Daniele Salvati is an Associate Professor in the Department of Mathematics, Computer Science and Physics at the University of Udine, Italy. He is actively involved in research, teaching, and editorial roles in leading signal processing journals.
- Associate Professor, University of Udine
- Ph.D. in Acoustic Source Localization, University of Udine (2012)
- Senior Member, IEEE
- Associate Editor, IEEE/ACM Transactions on Audio, Speech, and Language Processing
- Handling Editor, Signal Processing
His research focuses on audio and acoustic signal processing, particularly in the areas of source localization, speaker identification, and computer audition. He integrates traditional signal processing with modern machine learning and deep learning techniques to develop robust systems for real-world environments.
His recent publications demonstrate a strong trend toward end-to-end deep learning models using raw waveforms, beamforming optimization (especially diagonal unloading), and applications on mobile and drone-based platforms. His work spans both journal and conference venues, with a focus on IEEE and ISCA publications.
Scientific recognition includes:
- National Scientific Qualification as Full Professor (IINF-05/A)
- Senior Member of IEEE
- Editorial board roles in top journals
He mentors doctoral students as part of the Ph.D. program in Computer Science and Artificial Intelligence and collaborates widely with researchers such as Carlo Drioli and Gian Luca Foresti. His research is supported by publications in high-impact journals and participation in international conferences. He leads work in the G.L. Foresti's Lab, focusing on intelligent systems and signal processing.
His work includes developing microphone array-based interfaces for music and human-computer interaction, acoustic scene analysis, and automated sensor configuration. Future directions likely involve further integration of AI with physical sensor systems, especially in autonomous and mobile contexts.
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