Penelope Bekiari is an artist-researcher, sound artist and creative technologist specialising in human-centred AI, embodied interaction, physiological computing and adaptive music systems. She is currently a PhD Candidate in Electroacoustic Composition and Affective Technologies (2024–present) at the National and Kapodistrian University of Athens (NKUA), Department of Digital Arts and Cinema, in collaboration with the Sonic Arts Research Centre (SARC), Queen’s University Belfast. She holds an MMus in Electroacoustic Composition and Interactive Media from the University of Manchester, alongside degrees from NKUA.

Her research combines contemporary music, machine learning, neuroaesthetics and human–computer interaction, exploring how physiological signals (EEG, heart rate, GSR, respiration and movement) can inform adaptive composition, neural audio synthesis and human–AI co-creation. Her work focuses on musical agency, embodied cognition, accessibility and responsive creative technologies. Her work has been presented internationally at Ultima (Oslo), MANTIS (Manchester, 2022), BEAST Festival, Sonorities (Belfast), EASTN-DC (Cardiff), CIME/ICEM (Montpellier), MA/IN (Rome), Spatial Audio Gathering (Leicester), SOUND/IMAGE (Greenwich), SMC (Porto and Zagreb), ICMC (Hamburg), the University of Manchester, the Greek National Opera and the Athens Concert Hall. Further academic contributions include the Advances in Data Science & AI Conference (Manchester), ARTOEND Vol. 1 and the 7th Conference on Acoustic Ecology (Athens–Epidaurus).

She received the Art of Neuroscience Prize 2025 from the Netherlands Institute for Neuroscience, was Artist in Residence at the Greek National Opera (2024–2025) through a European Commission-funded programme, and was selected to represent HELMCA at CIME/ICEM. She has served as a lecturer and guest lecturer at universities and higher education institutions across Greece and the UK, teaching music technology, electroacoustic composition and creative computing. She is also a Research Member and ongoing external collaborator at the Laboratory of Music Acoustics and Technology (LabMAT), NKUA. Her current research advances human-centred AI for musical creativity, with an emphasis on deep learning, neuro-responsive generative systems, inclusive technologies, music and wellbeing.