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WANG Ye is an Associate Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He holds a PhD in Information Technology from Tampere University of Technology, Finland, and has been a tenured faculty member at NUS since 2002, following his industry research role at Nokia Research Center. He is the director of the Sound and Music Computing Lab at NUS, leading cutting-edge research in AI-driven music and health technologies. PhD, Information Technology, Tampere University of Technology, Finland (2002) MSc, Telecommunications, Braunschweig University of Technology, Germany (1993) BSc, Telecommunications, South China University of Technology, China (1983) His research is centered on Sound and Music Computing for Human Health and Potential (SMC4HHP) , with a focus on eHealth, eLearning, mobile/wearable computing, and music information retrieval. His work spans AI for stroke rehabilitation, language learning through singing, singing voice synthesis, and automatic music transcription. He has pioneered systems like SLIONS (language learning via karaoke), CocoLyricist (AI co-creation for stroke recovery), and SinTechSVS (expressive singing voice synthesis). The latest articles highlight a strong trend in AI-driven music and health technologies , particularly in controllable lyric generation, singing voice synthesis, automatic pronunciation assessment, and multimodal music transcription. The research increasingly integrates large language models, explainable AI, fairness, and real-world deployment, reflecting a shift from theoretical exploration to practical, human-centered applications in healthcare and education. Dr. Wang has received numerous scientific honors, including: Best Paper Awards at ACM MM, ISMIR, IEEE ISM, and CHI First Prize, Asia Pacific Assistive, Rehabilitative, and Therapeutic Technologies Challenge (2015) Faculty Teaching Excellence Award, NUS School of Computing (2024) Top Paper Award, ACM Multimedia 2022 AI in Medicine Collaborative Grant for CocoLyricist project He has supervised over 11 PhD and 20 MComp students and is currently guiding six PhD candidates. His grants come from MOE, NRF, A*STAR, Nokia, and Smule. He has served as General Chair of ISMIR2017 and TPC Co-Chair of ICOT2017, and is on the editorial boards of IEEE Transactions on Multimedia and Journal of New Music Research. He has also developed and taught the first course on Sound and Music Computing in Singapore. Dr. Wang leads the Sound and Music Computing Lab (SMC Lab) , a multidisciplinary team exploring the synergy of music computing, AI, mobile technology, and cloud systems for health and education. The lab actively collaborates with medical institutions such as NUS Yong Loo Lin School of Medicine, Singapore General Hospital, and Harvard Medical School, and is currently working on projects in AI-supported language learning, stroke rehabilitation, and intelligent music interfaces.

• Sound and Music Computing
• Music Information Retrieval
• eHealth
• +12 more

Peter Ivan Edwards is an Associate Professor and Head of Composition at the Yong Siew Toh Conservatory of Music, National University of Singapore. He specializes in creating compositions that explore sound through energy, narrative, and perspective, often employing computer-assisted and algorithmic methods. His collaborative works emphasize experimental traditions with live performance improvisation and electronic signal processing. Education: Northwestern University University of California, San Diego Folkwang Hochschule (Essen, Germany) His research focuses on experimental music, interactive performance systems, and sound design. His works have been performed globally at festivals like Darmstadt Summer Courses, MATA Festival, and Wien Modern, featuring renowned ensembles such as Ensemble Interface and mmm… collective. Edwards also organizes international collaborations, including the Dian Red Kechil International Young Composers Residency and visits by ensembles like the TIMF Ensemble and Elision Ensemble. As a researcher, he has presented at IRCAM Forum Workshops, Orpheus Institut, and universities across Europe and Asia. His findings appear in journals like Perspectives of New Music and Experiments in Pedagogy . Edwards teaches composition, experimental music, and computer music, fostering student engagement through residencies and guest artist programs.

• Composition
• Computer Music
• Algorithmic Composition
• +3 more

Peter Ivan Edwards is an Associate Professor and Head of Composition at the Yong Siew Toh Conservatory of Music, National University of Singapore, teaching studio composition, collaborative composition, experimental music, and computer music. Education Northwestern University University of California, San Diego Folkwang Hochschule, Essen, Germany Research Interests His work centers on composition, computer music, and algorithmic methods to articulate sound energy, shape, and narrative. He explores experimental traditions where signal processing creates extended instruments and positions computers as interactive performance partners, blending broad disciplines like electronic music with subfields including real-time systems and algorithmic sound design. Professional Activities He directs the Dian Red Kechil International Young Composers Residency and organizes visits by leading figures including: Ensembles: TIMF Ensemble, Elision Ensemble, Ensemble Interface Composers: Chaya Czernowin, Liza Lim, Aaron Cassidy Performers: Magnus Andersson, Carl Rosman As a performer, he co-founded the experimental trio Ang Mo Faux (2008-2013) and percussion-electronics duo Zero Crossing (2013-present), performing globally at festivals like Spectra Electronic Music Festival and NetMusic Symposium. Scientific Awards No scientific awards were mentioned in the provided text.

• Composition
• Computer Music
• Algorithmic Composition
• +3 more

Darren Moore is a Senior Lecturer at LASALLE College of the Arts, Faculty of Performing Arts. He holds a Doctorate of Musical Arts from Griffith University and a Bachelor of Music in Jazz Performance from Edith Cowan University. His work bridges teaching, professional practice, and research in improvisation, experimental music, and Carnatic rhythm adaptation. Education : Doctorate of Musical Arts (2013, Griffith University), Bachelor of Music (1998, Edith Cowan University), Associate Diploma of Jazz Performance (1995, Edith Cowan University), Certificate in Classical Percussion (1993, Edith Cowan University) Dr. Moore's research focuses on integrating Carnatic Indian rhythms into drum set language, exploring AI-driven creativity, and fostering interdisciplinary collaborations. His recent publications, including works on surrogate musicianship and cybernetic art, reflect these themes. He has been active in Southeast Asia, Japan, and Europe, contributing to global dialogues on experimental music and pedagogy. His 2023-2020 articles examine AI's role in performance, neural networks, and multimedia integration. Earlier works (2016-2013) highlight his foundational research in Carnatic rhythm adaptation and experimental practices. Dr. Moore has curated symposia like Arrhythmia and presented at international conferences, including Biennale Musica and the Jerusalem Academy of Music and Dance. His professional activities span performances at festivals in Germany, Taiwan, and Indonesia, alongside tours with artists like Akira Sakata and Yong Yandsen.

• Adapting Carnatic Rhythms to Drum Set
• Improvisation
• Electronic Music
• +6 more

Justin Hegburg is a Senior Lecturer and Programme Leader at LASALLE College of the Arts, specializing in Music Business. He has previously served as an Adjunct Professor at New York University's Clive Davis Department of Recorded Music and worked as a freelance audio engineer. His career spans Grammy-winning collaborations and diverse commercial music production across genres. Education: MA (Music Business) from Berklee College of Music, USA MM (Music Technology) from New York University, USA BM (Music Theory and Composition) from the University of Miami, USA Research interests include speaker design, music production workflow, and innovation management, rooted in expertise in music recording, mixing, classical music editing, audio mastering, and project management. His publications, such as Max for Live 101 The New Max User (2009), highlight his contributions to music technology and digital audio workflows. Justin's professional practice spans live sound engineering, original composition commissions, and sound design for installations, with notable work at festivals like Liquid Architecture (2015) and the C.H.O.P.P.A. Music Festival (2007). Professional Activities: Presentations: Advanced Audio Mastering (2019), Live Sound Masterclass (2019), Mixing and Mastering for EDM Producers (2019), and others at Mahidol University, BSRU University, and ITE College West. Performances: FOH engineering and sound design for projects like Metal: Bent Blown Plucked (2008) and Teng Ensemble's Convergence Premiere (2010).

• Music Technology
• Audio Engineering
• Music Production
• +4 more

NG Teck Khim is an Associate Professor (Practice Track) at the School of Computing, National University of Singapore (NUS). He holds a Ph.D. from Carnegie Mellon University (1999) and M.Sc./B.Eng. degrees from NUS (1992/1988). His academic career bridges both academia and industry with significant experience at DSO National Laboratories and Media Development Authority. Education: Ph.D. (CMU), M.Sc. & B.Eng. (NUS) Leadership: Vice-Dean, Industry Relations at NUS Computing Research Focus: Geometrical computer vision, signal processing, and their applications in Markerless AR, sports analytics, and image forensics. His work also explores audio signal processing and military technology applications. Publication Trends: Recent works emphasize multimodal learning, adversarial attack defenses, medical imaging, and efficient neural architectures. Key themes include distribution regression, self-supervised frameworks, and video recognition optimization. Scientific Awards: NUS School of Computing Faculty Teaching Excellence Award (AY14/15, AY15/16, AY16/17) NUS School of Computing Teaching Honours Roll (AY17/18) NUS Annual Teaching Excellence Award (2016/17) Teaching & Industry Contributions: He serves as Vice-Dean for Industry Relations, actively shaping academic-industry partnerships. Previously, he led the Signal Processing Lab at DSO National Laboratories Singapore, focusing on defense applications of image processing and computer vision.

• Geometrical Computer Vision
• Augmented/Mixed Reality
• Sports Video Analytics
• +5 more