Research
Post-Digital Sonic Systems · Computational Ecologies · AI‑Driven Creative Infrastructures
My research explores post‑digital sonic systems, computational ecologies, and AI‑driven creative infrastructures — revealing the technological unconscious through sound, data, and hybrid human–machine processes.
Position
CEEC‑FCT Research Fellow (2026–2029)
INET‑md · University of Aveiro
Research Group: CPAR
Principal Project
AI as Catalyst:
Transformative Impacts on Digital Performance, Computational Music, and Cultural Creativity
FCT — 2024.09158.CEECIND
2026–2029 · INET-md · University of Aveiro
Exploring artificial intelligence as a creative co-agent in digital performance and computer music — revealing the technological unconscious through hybrid systems, algorithmic listening, and post-digital ecologies.
Research Lines
- AI‑Chimera & hybrid human–algorithmic entities — developing ontogenetic computational systems through Python, multi‑agent AI, and emergent behaviour for computer music and performance
- Algorithmic Listening & Meta‑Listening — distributed listening across systems, data, and machine inference, applied to real‑time performance and AI‑driven sonic ecologies
- Meta‑Production & emergent computational behaviour — creation emerging from human–machine interaction through algorithmic composition, generative systems, and custom software development
- Hyperobject Soundscapes & planetary‑scale data ecologies — sonification of environmental, orbital, and climate data through AI‑driven instruments and multichannel spatial audio for performance and installation
- Techno‑Animism & post‑digital infrastructures — treating digital systems as living, reactive agents through critical hardware, software ecosystems, and performance practices
- Technological Unconscious & hidden algorithmic flows — revealing invisible computational infrastructures through sound, software design, and critical listening in computer music and digital performance
Research Ecosystem
A constellation of interconnected research projects, artistic interventions, and technological developments — spanning data sonification, AI‑driven performance, critical hardware, music composition, and post‑digital ecologies.
AI as CATALYST
CEEC‑FCT research project exploring AI as a creative co‑agent in digital performance and computer music — developing the AI‑Chimera concept through practice‑based methodologies, Python programming, and emergent algorithmic behaviour.
AI‑CHIMERA
Ontogenetic framework applying digital resonance, meta‑listening, and meta‑production to event‑data infrastructures — extending AI as Catalyst research into planetary‑scale sonic infrastructures, treating data as hyperobjects that can be sonified, listened to, and critically engaged through expanded audiovisual intelligence, performance, and emergent machine behaviour.
HYPEROBJECT SOUNDSCAPS
Sonification of real‑time data (satellites, sensors) into immersive sonic territories — positioning AI as mediator between physical data, performance, and aesthetic experience in computer music and sound design. Builds on ACM‑published research (2022) extended through AI integration, treating technological artefacts and space debris as performers with their own agency.
AI REMIX COLLECTIVE
Collaborative musician‑AI performance in 3D sound environments — exploring prompting as compositional gesture and the machine as co‑performer, building bridges between computer science, AI, human‑system interaction, and music composition.
GLITCH ECOLOGY
Conversion of ecological data into audiovisual landscapes — using AI to render C02 data to audible the impact of climate change and move beyond glitch aesthetics toward probabilistic models, following a post‑techno aesthetic focused on sound, image, and interaction.
CYBER ATTACK SONIFIER
AI‑driven sonification of cybersecurity threat intelligence — converting scans, exploits, botnets, and ransomware into rhythmic and microtonal sonic ecologies. Developed with Shodan API and other collaborators.
AEROSONIC SONIFIER
Unsupervised AI system transforming meteorological data into real‑time musical behaviour — framing the atmosphere as a dreamlike archive through digital resonance, meta‑listening, and hyperobjectal composition. Part of the AI as Catalyst research ecosystem.
HELIOSONIC SONIFIER
Unsupervised AI system extending the AEROSONIC framework to solar and heliospheric data — sonifying solar wind, sunspot activity, and coronal mass ejections into musical behaviour, exploring planetary‑scale phenomena through expanded audiovisual intelligence.
Publications & Outputs
- Sonic Sabotage in Negentropy: AI as an Instrument of Disobedience in Post-Operatic Performance — AI, Opera, C02. Tsantsa. Revista De Investigaciones artísticas. (2026)
- Maximum Sound, Meta-Opera: Human-Machine Co-Agency and Post-Techno Aesthetics in the Age of AI — Computational logic emerges as the central dramaturgical agent within an “algorithmic biome.” This work was presented at the Explorations on Sound and New Media Art Conference, themed Urgencies, organized by the CITAR Research Center and held from 5–7 November 2025 at the Ilídio Pinho Auditorium, Porto. (2026)
- The Noise of the Real: Post‑Techno Aesthetics and the Critique of the Technological Unconscious — Lecture delivered in the Master’s Program in Contemporary Artistic Creation, University of Aveiro. Explores post‑techno aesthetics, cybernetic ecologies, machinic agency, and sound as a critical technology within the framework of the FCT‑funded project AI as Catalyst (2024.09158.CEECIND). (2026)
- Post‑Techno: Countering Algorithmic Homogenization in Electronic Music — EIMAD 2026. Explores sabotage aesthetics and post‑techno strategies resisting algorithmic standardization in electronic music, within the FCT‑funded project AI as Catalyst.
- Organizing the Sonic Remnant: The AI‑Chimera and the Praxis of Meta‑Listening — AVANCA | CINEMA 2026. Introduces the SRT7 framework and develops meta‑listening as a critical method for contesting automated listening systems, drawing on the FCT‑funded project AI as Catalyst.
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AEROSONIC Sonifier Software
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AI Framework
Unsupervised AI system that transforms meteorological data into real‑time musical behaviour.
Developed within the FCT project AI as Catalyst (2024.09158.CEECIND).
Includes multi‑agent architecture, anomaly detection, quantum‑inspired modulation, and generative sonic ecosystems.
Documentation available on GitHub.
- AEROSONIC Sonifier Interface — Critical Weather Interface A custom performance controller designed for the AEROSONIC ecosystem. Each key corresponds to a meteorological or atmospheric symbol, enabling real‑time interaction with AI‑driven weather sonification processes. Developed as part of the FCT project AI as Catalyst (2024.09158.CEECIND).
Institutions & Networks
- FCT — Foundation for Science and Technology
- INET-md — Institute of Ethnomusicology, University of Aveiro
- University of Aveiro — DeCA UA
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CS‑Lab — Cybersecurity and Systems Laboratory
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Technical collaboration in cybersecurity, network analysis and real‑time data processing at the project
Cyber Attack Sonifier. University of Coimbra
- Absonus Lab — Laboratory for Sound Research, Technology and Culture
- Planetário do Porto – CCV — Porto Planetarium
- OTTOsonics — Sound Spatialization Research
- Shodan — Computer Search Engine for Internet-Connected Devices and API provided for resarch the Cyber Attack Sonifier