Audio Processing Professors and Supervisors in Austria

Fotios Lygerakisمشاهده پروفایل

پژوهشگر

Montanuniversität LeobenAustria

Fotios Lygerakis is a doctoral student and university assistant at the Department of Cyber-Physical Systems (CPS) at Montanuniversität Leoben, Austria. His research focuses on advancing machine learning and robotics, particularly in representation learning, visuotactile fusion, and reinforcement learning for robotic manipulation. He holds a Diploma in Electrical and Computer Engineering from the Technical University of Crete (2019) and has held roles including teaching assistant at the University of Texas at Arlington, research assistant at Demokritos (Athens), and research intern at Toshiba Research Europe. His research interests span representation learning, multimodal fusion, reinforcement learning, and healthcare robotics. Notable contributions include work on CR-VAE and M2CURL, earning a Best Student Paper Award at the 2024 Ubiquitous Robotics Conference. Lygerakis actively supervises theses in areas like human-robot interaction and self-supervised learning, and teaches courses on machine learning and deep learning. Lygerakis maintains active engagement in the scientific community through reviewing for journals/conferences (e.g., IROS, IJRR), organizing workshops, and leading the Neural Coffee Reading Group. He has presented invited talks at institutions like New York University and Technical University of Crete, and his work has been featured in outlets like Computer Vision News.

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Jaakko Tapio Astolaمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Jaakko Tapio Astola is a Professor of Signal Processing at Tampere University of Technology since 1993. He held roles such as Academy Professor (2001–2006), Associate Professor of Applied Mathematics (1988–1993), and various acting professorships. His research focuses on signal processing, bioinformatics, and coding theory. Education: MSc in Mathematics, University of Turku (1973) PhD in Mathematics, University of Turku (1978) Research Interests: Signal processing methodologies Image and audio processing Systems biology and bioinformatics Algebraic coding theory Awards and Honors: IEEE Fellow (2000) Order of the White Rose of Finland (2000) Nokia Award (2010) Contributions: Advised 38 PhD/MSc theses Editorial Board member of nine journals General Chair of conferences like Eusipco 2000 and ISMVL 2011 International Experience: Research at Kyoto University (1976–1977) Visiting Professor at Eindhoven University of Technology (1984–1985) Edward Rotan Visiting Professor at M.D. Anderson Cancer Center (2002)

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Monika Dörflerمشاهده پروفایل

استاد

University of ViennaAustria

Monika Dörfler is a Professor in the Department of Mathematics at the University of Vienna. Her research focuses on applied harmonic analysis, audio signal processing, and the mathematics of machine learning. She specializes in time-frequency analysis, nonstationary Gabor frames, and deep learning applications in audio processing. Dörfler has contributed significantly to methods like the invertible constant-Q transform and has explored the intersection of convolutional neural networks with signal representation theory. Affiliations: Department of Mathematics, University of Vienna Roles: Professor, Privatdozent, Principal Investigator (PI) in grants including WWTF Hertha Firnberg and SALSA projects Teaching: Courses such as Applied Analysis and Bachelor seminar Her research interests emphasize both theoretical foundations and practical applications of signal processing techniques. Notable contributions include work on Gabor frames in deep scattering networks and orthogonal projections for dimension reduction in learning problems. Dörfler has received awards for her papers, including Best Paper Awards at ISMIR19 and DAFx-11, and has organized international conferences like SAMPTA19 and DAFx2020. Awards: Best Paper Gold (DAFx-11), ISMIR19 Award, WWTF Grant Leadership Grants: Co-PI in aMOBY (Acoustic Monitoring of Biodiversity), PI in Audio-Miner and Hertha Firnberg grant Her work addresses challenges in audio denoising, music information retrieval, and algorithmic biases in recommendation systems. Ongoing projects include "Filter them all! Gabor theory for image quality assessment" submitted to FWF in 2023.

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Thomas Grillمشاهده پروفایل

استاد

mdw - University of Music and Performing Arts ViennaAustria

Thomas Grill is a **Professor of Electroacoustic and Experimental Music** at the University for Music and Performing Arts, Graz (mdw). He leads the University Course for Electroacoustic and Experimental Music (ELAK) and oversees artistic research projects such as „Rotting Sounds“ (2018–2022) and „Spirits in Complexity“ (2024–2026) . His work bridges composition, technology, and interdisciplinary sound art. **Education**: Studies in Technical Physics (Linz) Computer Music & Electronic Media Master's in Interactive Electronic Instruments (Vienna) Doctorate in Composition and Music Theory (Graz) **Research Focus**: Electroacoustic improvisation, machine listening, neural networks in audio processing, and the intersection of decay processes with digital sound. His projects often explore trans-media installations and the philosophical implications of sound deterioration. **Awards**: Multiple accolades including the Prix Ars Electronica Honorary Mention and interdisciplinary artist awards from Austrian federal institutions. **Grants & Collaborations**: Active in the Applied/Experimental Sound Research Lab (2023–2026) and collaborates across academic and artistic domains.

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Nathan Weiszمشاهده پروفایل

استاد

Paris Lodron University of SalzburgAustria

Nathan Weisz is a Professor of Physiological Psychology in the Department of Psychology at the University of Salzburg , where he leads the Salzburg Brain Dynamics Lab and the MEG Laboratory at the Center for Cognitive Neuroscience Salzburg (CCNS). He has previously served as Associate Professor at the University of Trento’s CIMeC and as an Emmy Noether Group Leader at the University of Konstanz. . Doctorate: Department of Psychology, University of Konstanz (2001–2004) Diploma in Psychology: Catholic University of Eichstätt (1996–2001) His research focuses on understanding how the brain processes acoustic stimuli, particularly speech, using electrophysiological methods such as MEG and EEG. He investigates neural mechanisms in challenging listening environments (e.g., the 'cocktail party' problem), the role of neural oscillations in perception and memory, multisensory integration (e.g., audio-visual speech), and the development of tinnitus following hearing loss. His work has direct implications for hearing rehabilitation and cochlear implantation. The recent publications highlight advanced applications of M/EEG in decoding conscious perception across modalities, the role of alpha desynchronization in auditory working memory, and predictive neural activity in the auditory system. These reflect a strong trend in cognitive electrophysiology , predictive coding , and neural dynamics of perception . Nathan Weisz has not been mentioned as receiving specific scientific awards in the provided text. He advises graduate students in psychology and neuroscience, though specific names are not listed. His research is supported by institutional and likely external funding given his leadership roles and publication record. He leads a prominent research group focused on non-invasive brain imaging and cognitive dynamics. He leads the Salzburg Brain Dynamics Lab , which operates within the Center for Cognitive Neuroscience Salzburg (CCNS), utilizing MEG and EEG to study brain dynamics in perception and cognition.

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Christian Fenneszمشاهده پروفایل

مدرس

Private University of Music and Arts of the City of ViennaAustria

Christian Fennesz is a renowned Austrian guitarist, composer, and electronic musician who joined the Faculty of Performing Arts at the Music and Arts Private University of the City of Vienna as a lecturer in September 2019. Widely recognized as a key figure in electronic music, his innovative work combines traditional guitar techniques with advanced digital signal processing to create unique symphonic soundscapes. He is particularly known for his critically acclaimed albums that have redefined the perception of electronic music. As a lecturer, Fennesz contributes to the university’s mission of exploring new musical expressions and integrating technology with artistic performance. His teaching likely bridges his practical expertise in electronic music with academic frameworks. Research & Artistic Contributions : Fennesz’s work focuses on the intersection of guitar-based composition and electronic music production. His albums demonstrate pioneering approaches to: Transforming analog instruments through digital manipulation Creating immersive ambient environments Developing glitch and microsound aesthetics Integrating mathematical sound patterns Exploring non-linear audio editing Advancing real-time sound processing techniques Scientific Awards : Prix Ars Electronica (for Hotel Paral.lel , 1997) Collaborations & Projects : Fennesz has collaborated extensively with diverse artists including Ryuichi Sakamoto, David Sylvian, Keith Rowe, and Mike Patton. He was a member of the improvisational trio Fenn O'Berg with Peter Rehberg and Jim O'Rourke. His recent works continue to push the boundaries of electronic music through innovative studio releases and live performances.

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Annemarie Seither-Preislerمشاهده پروفایل

استاد

University of GrazAustria

Annemarie Seither-Preisler is a Professor at the Institute of Psychology, Faculty of Natural Sciences, University of Graz. As a neuropsychologist and biologist, her research focuses on the neural foundations of auditory perception and cognition, particularly through longitudinal studies on musical training's impact on auditory brain development and disorders like dyslexia and ADHD. Research Areas: Auditory perception, neuroplasticity, developmental psychology, musicology. Collaborations: Long-term partnership with Peter Schneider (University of Heidelberg) since 2009. Her work addresses nature-nurture interactions in musicality and auditory processing, with implications for pedagogy and brain-based diagnostics. Key projects include AMseL (Audio and neuroplasticity) and the APART neuromagnetic study. Scientific Awards: APART fellow of the Austrian Academy of Sciences (2001) Fellow of the Alexander von Humboldt Foundation (1993) She contributes to academic governance as former Chairwoman of the Styrian Society for Psychology (2009-2011) and Faculty Committee member for Systematic Musicology at Graz.

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