Rishi Shukla

Rishi is an established practitioner in digital music development and education. His career has been dedicated to supporting effective experience of music through technology, for both creators and consumers. He continued pursuing these objectives through projects on the media and arts technology doctoral training programme. His PhD research explores possibilities for binaural sound in the presentation of music collections. This investigation has innovated with leading edge audio processing technologies to design and evaluate interactive means of navigating, exploring and arranging music content through spatialised sound.


Rishi Shukla, Stewart, R., & Sandler, M. (2021). User HRTF Selection for 3D Auditory Mixed Reality.
Shukla, R., Radu, I. T., Sandler, M., & Stewart, R. (2019). Real-time binaural rendering with virtual vector base amplitude panning. Proceedings of the AES International Conference, 2019-March.
Shukla, R., & Stewart, R. (2017). Metronome music time capsule: Rematerialising music consumption and exchange. ACM International Conference Proceeding Series, Part F131930.
Shukla, R., Stewart, R., Roginska, A., & Sandler, M. (2018). User selection of optimal HRTF sets via holistic comparative evaluation. Proceedings of the AES International Conference, 2018-August, 155–164.
Yeoward, C., Shukla, R., Stewart, R., Sandler, M., & Reiss, J. D. (2021). Real-time binaural room modelling for augmented reality applications. Journal of the Audio Engineering Society, 69(11), 818–833.