I am an interdisciplinary researcher and multimedia designer with a background in graphic design and typography. I am currently a Master's student at the China Academy of Art (SIMA – Institute of Network Society), advised by Professor Sunquan Huang. My studies in computer technologies, media theory, and philosophy of technology inform a critical perspective on how emerging technologies and artistic practices shape multisensory experience. I am particularly interested in advancing human–computer interaction and novel interfaces, such as Brain–Computer Interfaces, where auditory and visual immersion plays a central role.
At present, my research combines field recording and algorithmic methods to investigate the perceptual and cognitive dimensions of sound and light, with a strong focus on spatialization and immersive environments. As founder of the Mountaineering Acoustics Network (co-founded with Gewenxin Yu), I explore the acoustic and visual expression of extreme environments. I also co-initiated AI + Soundcraft, a community fostering dialogue between AI-driven sound research and artistic practice, while actively contributing to FLOSS tools.
China Academy of Art - School of Intermedia Art (SIMA)
Institute of Network Society | Hangzhou, China
Northwest University - School of Arts | Xi'an, China
Developed to simplify book digitization and support digital archiving. Provides an accessible, efficient FLOSS tool for small publishers and cultural preservation efforts.
View ProjectInvestigates the aural dimensions of traditional Feng Shui through high-altitude expeditions. Jointly produced for the Mantle Program, with phased release on mantle-sound.org and Bandcamp.
View ProjectWe adapt and integrate end-to-end neural audio codecs for soundscape and infrasoundscape research, optimizing performance across diverse frequency bands through hybrid architectures. A key part of our setup includes the Geophone developed by Interharmonics Instruments (Elektroakustisches Musiklab, Wien).
View ProjectInspired by recent work, we introduce the encoding of Mel-spectrogram frequency bands into RGB channels into soundscape research—transforming traditional grayscale spectrograms into rich color representations. This adaptation enhances neural codec performance and significantly improves classification accuracy, particularly for pitch-similar signals.
View Projectcuihan.c@proton.me
Shanghai, China