WANG Ye

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.