Dr. Per Magnus LINDBORG
- Associate Professor, School of Creative Media
Dr PerMagnus Lindborg is a composer whose research in sound perception and design is anchored in computer music. He explores cross-modal correspondences to enrich the science-art bond by applying empirical results in the design of artwork as well as extracting analytic data from sensory experiences. Significant output through SOUNDISLANDS creative studio includes the ‘Locust Wrath’ series of climate data sonification installations, and the surround sound design for ‘Axis’, the world’s first dome-projected dance film.
He holds a PhD from KTH Royal Institute of Technology (Stockholm 2015) and has published in PLoS One, Leonardo, Applied Acoustics, Frontiers, Applied Sciences, IRCAM-Delatour, Springer-LNCS, and conference proceedings such as SMC, ICMC, ICMPC, and ICAD. Starting out as a pianist and composer (BMus Oslo 1995), he was an independent artist for ten years, while simultaneously pursuing studies in music computing (IRCAM Paris 1999) and contemporary musicology (DEA Paris 2003). From 2005 he has taught in higher education in France (École nationale de musique de CAPM), Singapore (Nanyang Technological University), and Korea (Seoul National University). He founded the Soundislands Festival (2013–17) and serves on the board of International Computer Music Association, as Music Coordinator and as Regional Director for Asia-Oceania.
PerMagnus engages in climate change issues and has taken the initiative to organise the DACA 2022 conference on Data Art for Climate Action (January 2022), and the Frontiers Research Topic Data Perceptualization for Climate Science Communication. Since January 2021 he co-directs the SoundLab at CityU.
- M Music - Sound Art, Composition, Sonification, Soundscape, Multimedia, Music, Music Technology
- BF Psychology - Psychoacoustics, Perception, Cognition, Crossmodal
- QA76 Computer software - Computer Music, Music Computing, Computer-Assisted Composition, Sonification, Acoustics, Music Information Retrieval, Modelling, Statistics, Time series