Scientist
PhD in Information Engineering and Computer Science from the University of Trento. I work on Music Information Retrieval and Smart Musical Instruments, currently within the EU project Musical Metaverse.
Research →
ආයුබෝවන්
NISHAL
scientist
Hello, and welcome to my little corner of the internet. I just moved to Canada, and I am doing self-directed ML research until I find my next challenge. Before my big move, I was a postdoctoral researcher at the University of Trento, Italy - where I did my PhD in Information Engineering and Computer Science. My background runs from music technology to computer vision, signal processing, algorithm design and creative work.
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Like a milking stool, my calling rests on three legs
Lab, Workshop, Stage
Engineer
MSc in Telecommunication and Electronic Engineering, BEng in Electronic Engineering. Computer vision, IoT, machine learning, electronics and prototyping, as a Research Engineer in apparel and FinTech.
Professional work →
Musician
Guitarist and singer for more than a decade, Trinity College London Rock & Pop Grade 8, session and studio player, part of several award-winning musical projects.
Music →
in a nutshell:
2025PhD, University of Trento
6+Years in industry
12 / 3Publications / h‑index
via Google Scholar
via Google Scholar
4Open datasets on Zenodo
2023MIDI Awards finalist
highlights
Gesture Detection for Electric Guitar
IMU-based gesture recognition bridging guitarist technique and stage presence. Part of PhD research at UniTrento.
Open the leaf →
Multisensory Concerts
Designing multi-modal concert experiences that extend beyond the auditory dimension.
Open the leaf →
Automated Quality Checking of Care Labels
End-to-end CV system that cut label QC time by ~99.5% and raised accuracy by 300%.
Open the leaf →The Musical Metaverse
What if a guitar could light a thousand lamps? My work turns instruments into controllers, so the right lick fires the lights, the smoke and the virtual world, with no pedals, no tech and no pause in the music.
This work is supported by the MUSMET project, funded by the EIC Pathfinder Open scheme of the European Commission (grant agreement n. 101184379).