Research

1: Research Areas

1.1: Music

1.2: Visual Art

1.3: Design

Our research spans three interconnected domains where computation meets creativity.

Research Areas

Area	Focus
Music	Algorithmic composition, AI music generation, performance systems, music visualization
Visual Art	Generative art, procedural graphics, digital installations, creative coding
Design	Computational design, parametric systems, data-driven aesthetics

We develop tools, systems, and theories that enable new forms of artistic expression at the intersection of art and technology.

1 - Research Areas

Overview of our research in computer arts.

1.1 - Music

Computational music, algorithmic composition, and AI-assisted performance

Computational Music Research

We explore how computation can augment and transform musical creation, performance, and experience.

Research Themes

Algorithmic Composition

Rule-based and constraint-based composition systems
Markov chains, grammatical approaches, and evolutionary algorithms
Hybrid human–AI collaborative composition

AI and Machine Learning

Neural networks for melody, harmony, and structure generation
Style transfer and cross-domain music generation
Real-time generative accompaniment (see DMA)

Performance Systems

Interactive systems for live performance
Score following and real-time synchronization
Mixed-reality music experiences

Music Visualization

Sonification and audiovisual mapping
Real-time visual feedback for performance
Data-driven musical representations

1.2 - Visual Art

Generative art, digital imaging, and interactive installations

Visual Art Research

We investigate procedural and generative approaches to visual creation, from algorithmic graphics to interactive installations.

Research Themes

Generative Art

Rule-based and stochastic generative systems
Cellular automata, L-systems, and fractal geometry
Emergent and self-organizing visual forms

Digital Imaging

Computational photography and image synthesis
Style transfer and neural rendering
Procedural texture and pattern generation

Interactive Installations

Responsive environments and sensor-driven art
Audience participation and co-creation
Real-time audiovisual performance

Creative Coding

Code as medium (Processing, p5.js, openFrameworks, etc.)
Live coding and algorithmic improvisation
Software as artistic practice

1.3 - Design

Computational design, parametric modeling, and data-driven aesthetics

Design Research

We apply computational thinking to design processes, enabling new forms of creativity through algorithms and data.

Research Themes

Computational Design

Parametric and generative design systems
Optimization and constraint satisfaction
Design space exploration

Data-Driven Aesthetics

Visualization as design practice
Data as creative material
Information design and narrative

Creative Tools

Design support systems and assistive tools
Human–AI collaboration in design
Rapid prototyping and iteration

Digital Fabrication

Algorithmic modeling for 3D printing
Generative patterns for CNC and laser cutting
Integration of computation with physical making