Find Academic Supervisors

Xiaofei LIView profile

Assistant Professor

• Speech Processing
• Sound Source Localization
• Speech Enhancement
• +9 more

Xiaofei LI is an Assistant Professor at Westlake University, Hangzhou, China, a position he has held since March 2020. Prior to this, he was a post-doctoral researcher and later a starting research scientist at INRIA Grenoble Rhône-Alpes, France, from February 2014 to at least 2019. He is affiliated with the PERCEPTION team and has contributed to major projects such as the ERC VHIA and EARS projects, as well as industry collaboration with Samsung Electronics. Education Bachelor of Electronic Information, Beijing Institute of Machinery, 2007 PhD in Electronics, Peking University, 2007–2013 His research focuses on speech and audio signal processing , particularly in challenging real-world environments. Key areas include multi-microphone speech processing for sound source localization, separation, and dereverberation; single-microphone signal processing for noise estimation, voice activity detection, and speech enhancement; and audio-visual fusion for speaker diarization and tracking. He employs advanced techniques such as LSTM networks , Bayesian inference , convolutive transfer functions , and deep learning in the STFT domain. His recent publications (2017–2019) demonstrate a strong trend toward multichannel speech enhancement , online speaker localization and tracking , and audio-visual integration . His work frequently appears in top-tier IEEE journals such as IEEE/ACM Transactions on Audio, Speech and Language Processing and IEEE Transactions on Pattern Analysis and Machine Intelligence. He has developed and evaluated algorithms using real datasets like LOCATA and AVDIAR, emphasizing robustness in reverberant and multi-speaker environments. Scientific Awards and Recognition No specific awards are mentioned in the provided text. Advising and Grants Currently serves as an Assistant Professor, implying student supervision and research advising, though no specific students are named. Research has been funded by prestigious grants including the European Research Council (ERC) Advanced Grant VHIA #340113 and the EU-FP7 STREP project EARS (#609465). Labs and Research Teams PERCEPTION team, INRIA Grenoble Rhône-Alpes, France Involved in the EARS, ERC VHIA, and Samsung Electronics Lito projects Contributor to the development of the AVDIAR and AVTrack-1 datasets

Daniele SalvatiView profile

Associate Professor

• Audio Signal Processing
• Acoustic Signal Processing
• Computer Audition
• +13 more

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.

• Computer Vision
• Artificial Intelligence in Automotive Systems
• Image and Video Processing
• +3 more

Ненад Четић is an Associate Professor at the Department of Computer Communications, Faculty of Technical Sciences, University of Novi Sad. He obtained his Master's degree in 2007 and PhD in 2007-2019, focusing on embedded systems and voice-controlled IoT solutions. Parallel to his academic role, he serves as Program Director at TTTech Auto, developing software platforms for advanced driver-assistance systems (ADAS) and autonomous driving. Education: Bachelor's: Faculty of Technical Sciences, University of Novi Sad (2006) Master's: "Spectral Expansion Solution for Multichannel Digital Audio Decoders" (2007) PhD: "Wireless Acoustic Sensor Model for Voice Control in Smart Homes" (2007-2019) Research Focus: Computer vision, AI in automotive systems, voice interfaces, distributed system architectures, and embedded systems optimization. His research integrates machine learning into sensor networks and develops real-time distributed systems for automotive applications. He has authored numerous scientific publications on automotive software platforms and ADAS systems.

David SchaferView profile

Adjunct Professor

• Sculpture
• Sound Art
• Digital Media
• +11 more

David Schafer is an Adjunct Professor in the Department of Fine Art at Art Center College of Design, where he has taught since 1998 and founded the Sound Lab in 2015. He has also previously taught at Otis College of Design, CalArts, USC, Rutgers, Parsons, SVA, Cooper Union, and Cornell University, reflecting a broad academic engagement across major art institutions. His research and artistic practice span sculpture, sound, digital media, and conceptual art , with a focus on the ideological structures of the built environment, collective memory, and the impact of data and AI on identity. He investigates how capitalism, patriarchy, and consumerism shape cultural amnesia and social behavior through installations that merge industrial materials with sonic and digital elements. Recent works like Displayer and Binary Complex critically examine AI-generated identity, surveillance, and data commodification, often using fabricated steel structures, signage, and algorithmic content. His sound works, such as Tonal Duet and Four Letters to Mahler , translate historical and textual material into immersive audio experiences, performed in galleries and curated events internationally. David Schafer has received significant recognition including the NEA Award in Sculpture and the Pollock-Krasner Foundation Award . His work has been featured in major publications such as ArtForum, Art in America, NY Times, and The New Yorker. He has advised numerous students through studio courses and lab development, though no specific advisees are listed. He has secured public art commissions such as the One Percent for the Arts project at Huntington Hospital, and his work has been exhibited nationally and internationally, including performances at Human Resources, Roulette, and Studio10. The Sound Lab he founded serves as a hub for experimental sound research, workshops, and collaborative events. His work has been included in curated radio programs in Lisbon, Paris, and Berlin, and he continues to produce new works up to 2025, such as DEI Training Series and Reflected Terrain , indicating active and ongoing creative and academic engagement.

Edmund CampionView profile

Professor

• Music Composition
• Electronic Music
• Audio Technology
• +4 more

Edmund Campion is a Professor of Music Composition at the University of California, Berkeley , where he co-directs the Center for New Music and Audio Technologies (CNMAT) within the Department of Music. His career spans over 25 years as a composer, performer, software developer, and collaborator. Current affiliation: UC Berkeley (College of Letters and Science, Department of Music) Academic role: Professor Leadership: Co-Director at CNMAT Edmund Campion's research and composition focus on: Electronic music integration with traditional ensembles Multimedia performance art Interactive audiovisual experiences Algorithmic composition techniques Emergent sound technologies Cultural fusion through historical instruments His work spans both academic and artistic domains, with notable projects involving: Kronos Quartet collaborations Pacific Rim Festival performances Philharmonie de Paris premieres Development of spherical speaker array applications Scientific awards and recognition: Recipient of Guggenheim Fellowship (2016) Bearinger Award winner American Rome Prize awardee Lili Boulanger Prize recipient Paul Fromm Award at Tanglewood Goddard Lieberson Fellowship As an advisor, Campion has collaborated with: Audiovisual artist Kurt Hentschläger Korean Traditional Contemporary Orchestra San Francisco Contemporary Music Players He has received commissions from: Les Percussion des Strasbourg (2011) Société Générale (2011) Serge Koussevitzky Foundation (2012) ECO Ensemble (2014) French Ministry of Culture (2011) NEUMA Records (2023) Campion contributes to technological innovation through: Development of CNMAT Spherical Loudspeaker Array Integration of digital processing in live performances Exploration of algorithmic composition tools

Alistair MacDonaldView profile

Professor

• Electroacoustic Composition
• Live Electronics
• Field Recording
• +3 more

Alistair MacDonald serves as Professor and Director of the Electroacoustic Studios at the Royal Conservatoire of Scotland (RCS), where he also teaches composition. Appointed Fellow of RCS in 2012 and promoted to Professor in 2017, he actively accepts PhD students and maintains current research output through 2025. His institutional roles center on electroacoustic music education and studio leadership. MacDonald's research explores field recording, live electronics, interactivity, and improvisation through international collaborations with performers, artists, and choreographers. Key projects include AD 1136 (2023) for voice/electronics at Glasgow Cathedral, film collaborations like The moss and the cosmos (2021), dance works with Reckless Sleepers (2018-22), and cross-disciplinary pieces such as Le Sirenuse for glass percussion/electronics. His practice spans performance, broadcast, and installation media with emphasis on spatialized sound design. His 56 research outputs (1998-2025) demonstrate consistent electroacoustic innovation, particularly in vocal processing (2023-2025), collaborative film scoring (2021-2022), and interdisciplinary installations (2014-2015). Recent works integrate historical contexts like Hildegard von Bingen's writings with contemporary electronics, while ongoing METRIC network activities show European collaboration in music technology education. Creative Scotland Award (2002) for Sensuous Geographies installation Multiple festival commissions including Made in Scotland showcase (2017) Selected for Royal Scottish Academy Open Exhibition (2015) Coburg Prize for Contemporary Glass finalist (2014) MacDonald leads the Electroacoustic Studios at RCS while maintaining external examiner roles at Newcastle University (2020-2026). His collaborative network spans UK, Germany, Belgium, Norway, and Australia with commissions from Scottish Ensemble, BBC Radio Scotland, and Theatre Cryptic. Current projects include METRIC intensive workshops in Helsinki (2025) and Antwerp (2024), focusing on international electroacoustic pedagogy development. His studio practice involves custom computer-based sound processing environments for spatialized music creation, documented through releases on empreintes DIGITALes. Ongoing collaborations include vocalist Stephanie Lamprea and harpist Catriona McKay, with recent recordings like OTSEGO (2023) and Postcards (2023) available on Bandcamp.

Reinhold Häb-UmbachView profile

Professor

• Statistical Signal Processing
• Machine Learning
• Speech Processing
• +7 more

Reinhold Häb-Umbach is a distinguished Professor in the Communications Engineering Department at the University of Paderborn, leading the Heinz Nixdorf Institute's Speech and Communications group. His work spans statistical signal processing and machine learning for speech and audio applications , with a focus on robustness and real-world deployment. His research integrates probabilistic models with deep learning , addressing challenges in speech separation , noise suppression , and acoustic distance estimation . Recent projects include WestAI , SAIL , and TRR 318 , emphasizing AI-driven solutions for sociotechnical systems. 2020: IEEE Fellow 2015: ISCA Fellow 2021-2023: ISCA Distinguished Lecturer Over 300 peer-reviewed publications He has received multiple best student paper awards at venues like IWAENC , Interspeech , and ASRU , and has contributed to 15 competitive DFG grants . His leadership roles include Technical Program Committee Chair for Interspeech 2024 and editorial roles in IEEE journals.

Marina RosenfeldView profile

Adjunct Professor

• Sound Art
• Experimental Music
• Sonic Arts
• +5 more

Marina Rosenfeld is an Adjunct Professor of Sonic Arts at the Milton Avery School of the Arts, Bard College, where she has been faculty since 2005 and has co-chaired the Music/Sound department since 2007. Based in New York, she is a composer and artist whose interdisciplinary work spans sound art, performance, and visual art, with presentations at major institutions including the Park Avenue Armory, Museum of Modern Art, Guggenheim Museum, Tate Modern, and Stedelijk Museum. Adjunct Professor, Sonic Arts, Conservatory of Music, School of Visual, Media and Performing Arts Faculty member, Milton Avery School of the Arts at Bard College since 2005 Co-chair, Department of Music/Sound since 2007 2024 Alpert Award in Visual Art recipient Rosenfeld's research interests center on the social and perceptual dimensions of sound, exploring how sonic experiences transform through bodily engagement and spatial contexts. Her work interrogates the shape and sociality of perception, examining how sensual experiences become hearing, sight, and touch. She creates installations that embrace traces, after-sound, distortion, and the body as an amalgam of social, libidinal, and inherited possibilities. Her practice spans performance, installation, electronic media, experimental musical notation, sculpture, photography, and improvisation, with a focus on inventing new forms that challenge existing categories and engage critically with power structures. Her recent publications and critical reception reveal a strong focus on the material conditions of sound, with particular attention to the Deathstar series, Teenage Lontano, and The Sheer Frost Orchestra. Critics examine her work through lenses of object-oriented ontology, neoliberal critique, and the politics of sound in institutional spaces. Her approach to sound as both material and social practice has generated significant scholarly interest in how sonic experiences shape and are shaped by cultural contexts. Alpert Award in Visual Art (2024) Foundation for Contemporary Arts Grants to Artists Award (2011) New York Foundation for the Arts Composer Fellowship (2004) Watermill Foundation Inga Maren Otto Fellowship (2019) Harvestworks Van Lier Fellowship (2002) EMPAC Artist Residency and Commission (2024) Rosenfeld has advised numerous artists through her teaching at Bard College and has received multiple grants supporting her artistic research, including commissions from Ensemble MusikFabrik (2017) and Ensemble Contrechamps (2022). Her collaborative practice spans decades, working with choreographers like Merce Cunningham (2004-08), Ralph Lemon (2014-15), and Maria Hassabi (2016-17), as well as musicians including Christian Marclay and Warrior Queen. She has also been commissioned by major festivals including Donaueschingen Musiktage and documenta 14. Rosenfeld's most enduring project is The Sheer Frost Orchestra, a temporary all-female amateur ensemble she founded in 1993 that continues to be performed today. This project explores power dynamics through unconventional instrumentation, with performers using nail polish bottles to tap electric guitars lying on the ground. Her Deathstar series represents another significant body of work, with installations and performances evolving since 2017, including a 48-hour performance in Switzerland in 2023 where audience members slept, woke, ate, and listened together over an extended period.

Jan SchlüterView profile

Assistant Professor

• Convolutional Neural Networks
• Deep Learning
• Acoustic Sequence Labeling
• +4 more

Jan Schlüter is an Assistant Professor at the Institute of Computational Perception, Johannes Kepler University Linz. His research focuses on deep learning, acoustic sequence labeling, and audio signal processing. He has held academic positions including University Assistant at JKU, postdoctoral researcher at the University of Toulon, and research roles at the Austrian Research Institute for Artificial Intelligence (OFAI). Schlüter holds a PhD in Informatics from JKU and advanced degrees from TU Munich and the University of Hamburg. Education: PhD in Informatics, Johannes Kepler University Linz (2017) Master of Science in Informatics, Technical University Munich (2011) Bachelor of Science in Informatics, University of Hamburg (2008) Schlüter's research interests include convolutional neural networks, weakly-labeled learning, and differentiable time-frequency representations. He contributes to projects involving birdcall monitoring, music structure analysis, and environmental acoustics. Teaching responsibilities include courses on audio processing, machine learning, and artificial intelligence. His work bridges theoretical advancements in deep learning with practical applications in audio analysis, environmental monitoring, and music informatics. Notable contributions include the madmom Python library for audio and music processing.

Romit Roy ChoudhuryView profile

Professor

• Machine Learning
• Signal Processing
• Generative Models
• +6 more

Romit Roy Choudhury is the Gilmore Family Endowed Professor of Electrical and Computer Engineering (ECE) at the University of Illinois at Urbana-Champaign (UIUC) and an Amazon Scholar since 2022. He earned his Ph.D. in Computer Science from UIUC in 2006 and previously held positions at Duke University, including Associate Professor (2011–2013) and Assistant Professor (2006–2011). His research spans generative models, signal processing, and wearable computing, with a focus on audio denoising, source separation, and spatial inference. Education: Ph.D. in Computer Science, University of Illinois at Urbana-Champaign, 2006. Research Interests: Generative Models, Machine Learning, Sensing, Inverse Problems, Wearable Devices, Localization, and Acoustic Sensing. His lab, Signals and Inference Research Group (SiNRG), explores innovations in audio and sensor-based systems. Publications: Over 50+ peer-reviewed articles, including impactful work on inaudible sound attacks (MobiSys 2017 Best Paper), noise cancellation via IoT (SIGCOMM 2018), and earable computing (MobiCom 2020). Awards: ACM Sigmobile Rockstar Award (2015), IEEE Fellow (2019), NSF CAREER Award (2007), and multiple best-paper recognitions. Teaching: Courses include ECE 438 (Communication Networks), ECE 434 (Real-World Algorithms for IoT), and ECE 101 (Intro to Computing). Labs/Teams: SiNRG at UIUC, collaborations with Amazon, Samsung AI, Intel, and Microsoft Research.

Nicolas ArnaezView profile

Lecturer

• Interactive Sound
• Sound Art
• Spatialization
• +3 more

Nicolas Arnaez currently serves as Research Coordinator at the College of Social Sciences and Humanities , University of Alberta, and as Lecturer in the Department of Music. He also holds roles as Production Manager at New Music Edmonton and Sound Technician at Yardbird Suite. Doctor of Music Composition (University of Alberta) Master of Music Composition (University of Alberta) Licentiate in Music Composition (University of Alberta) A leading figure in interactive sound composition , Arnaez merges electroacoustic music , multichannel spatialization , and real-time processing to create immersive sonic experiences. His work explores the spatial dimension as a compositional parameter , employing tools like ambisonics , VBAP , and self-coded software to manipulate sound trajectories and audience perception. His recent compositions, including Requiem 13 (2024) and SinData (2023-present), demonstrate consistent innovation in interactive installations , quadraphonic sound design , and human-technology collaboration . Key trends include site-specific works , cross-disciplinary projects , and experimental music education through tools like Wavegenerator and SpaCO software. Notable grants include funding from the Social Sciences and Humanities Research Council (SSHRC) for his Lost Garden video game project (2017-2021), which explored interactive sound as game mechanic . He has developed specialized software for 3D spatialization (HPSC, Trajectory Recorder) and live processing (TallaD, ReDo Synth) used in both academic and performance contexts. Arnaez collaborates with Mile Zero Dance Company (The Disaster Show, 2020-2025) and leads Blackout Over Rio (2018-present), an improvisation trio. His Audio Games Lab at University of Alberta and SpaCO spatialization software have become institutional resources for computer music research and Canadian sound art development .

Nilesh MadhuView profile

Professor

• Machine Learning
• Audio & Speech Enhancement
• Automated Audio Scene Analysis
• +4 more

Nilesh Madhu is a Professor for Audio and Speech Processing at Ghent University and imec, Belgium, where he leads research in the Internet Technology and Data Science Lab (IDLab). His academic journey began with a Dr.-Ing. degree (summa cum laude) from Ruhr-Universität Bochum, Germany in 2009, followed by a Marie-Curie postdoctoral fellowship at KU Leuven. Prior to his academic appointment, he served as Principal Scientist and team lead at NXP Semiconductors from 2011-2017, developing advanced audio algorithms for mobile devices. His research spans multiple domains within signal processing, with a particular focus on machine learning applications for audio and speech enhancement, automated audio scene analysis, and hearing prostheses. Professor Madhu's work bridges theoretical signal processing with practical implementations in communications, healthcare, and assistive technologies. Analysis of his recent publication record reveals a strong emphasis on deep learning approaches for speech enhancement, with particular attention to phase reconstruction, multichannel processing, and efficient model architectures. His research increasingly incorporates biomedical applications, particularly in cardiovascular monitoring using advanced sensing techniques like laser Doppler vibrometry. His laboratory work centers around the Internet Technology and Data Science Lab (IDLab) at Ghent University, where his team develops innovative signal processing algorithms with applications spanning mobile communications, hearing aids, and biomedical monitoring systems. The group maintains strong industry connections, evidenced by their focus on practical implementation constraints and real-world performance metrics.

• Acoustics
• Audio Engineering
• Music Production
• +3 more

Andrew Bourbon is the Subject Area Leader in Performing Arts at the University of Huddersfield, affiliated with the Department of Media, Humanities and the Arts within the School of Computing and Engineering. He is also a member of the Centre for Audio and Psychoacoustic Engineering and the Centre for Research in Music and its Technologies. His research focuses on acoustics, music production, immersive audio technologies, and sound design. Key interests include spatial audio techniques, distortion in creative recording, and the cognitive aspects of audio mixing. He has published extensively on topics such as Dolby Atmos implementation, immersive music mixing practices, and the pedagogy of sound engineering. His work contributes to UN Sustainable Development Goals related to innovation and cultural development. With an h-index of 4 from 41 citations, he actively supervises PhD students in his research subject area. Recent collaborations involve analyzing contemporary popular music mixing trends and advancing visualization tools for microphone placement. Bourbon’s academic leadership and technical expertise position him at the intersection of theory and practice in modern audio engineering.

Zach PoffView profile

Adjunct Professor

• Sound Art
• Media Art
• Generative Art
• +3 more

Zach Poff is an Adjunct Professor at the Cooper Union School of Art in New York City, specializing in Sound Art and interdisciplinary media practices. He also serves as a Technical Assistant in Film/Video. His work emphasizes collaborative and generative systems, exploring ecological relationships and social dynamics through sound installations, field recordings, and live-streamed environmental data. Education: B.A. from the University of Maryland. Professional affiliations include Cooper Union, Bennington College, and Cooper Union Continuing Education. He has led workshops on sound recording and expanded media at UnionDocs and other institutions. Research Interests: Open systems, algorithmic remixes of media, and tools that bridge ecological and social studies. Notable projects include Pond Station (2015), a live-streaming underwater sculpture, and Sferics 2: Bell Cloud (2013), which translates lightning energy into acoustic compositions. His work critiques commercial media's individualism, advocating for shared creative practices. Exhibitions and Awards: Works shown at the Portland Biennial (2013), ISEA (Singapore), and venues in Estonia and Armenia. Recipient of fellowships from NYFA and Wave Farm, and a 2021 Educational Innovation Grant from Cooper Union. Grants and Labs: Participated in Wave Farm Residency (2013), Iowa Lakeside Lab Residency (2024), and other research collaborations. Technical contributions include DIY contact microphone designs and open-source software for sound/video synchronization. Labs/Teams: Collaborations with N.B. Aldrich (Sferics 2), University of Maine departments, and institutions like UnionDocs. His practice integrates art, technology, and ecology into pedagogical frameworks.

Henrik FriskView profile

Professor

• Digital Sound Art
• Electroacoustic Composition
• Improvisation
• +3 more

Henrik Frisk is a Professor of Digital Sound Art at the Royal College of Music in Stockholm (KMH), specializing in electroacoustic composition, improvisation, and postcolonial perspectives in artistic research. He holds roles as Subject Representative for Research in Music and Subject Manager for the AIM master's program. His work bridges composition, performance, and technology, with international collaborations and leadership in initiatives like the Interface Research Lab. He has served as Acting Vice-Chancellor for Research since 2023 and oversees doctoral supervision across multiple institutions. Education: Artistic education from Copenhagen, New York, and Banff; PhD in Artistic Research (Lund University, 2008) Research: Focuses on improvisation ethics, cultural heritage preservation, and transcultural collaboration. Leads projects like Studio Saigon and Traces of Sound . Awards: Not explicitly listed, but recognized for contributions to sound art and academic leadership. His artistic work includes performances with The Six Tones and installations exploring sound’s spatial and cultural dimensions. He chairs major initiatives like the Interface Research Lab, uniting Swedish music academies’ doctoral researchers.