Research Catalogue

This exposition contains a database of materials resulting from the artistic research "Phytopoetic Creation: An artistic and ecological intervention", within my doctorate studies in Performance at the Department of Comunication and Art (DeCA) of University of Aveiro (UA), Portugal. As these results were mostly documented through video, audio and photographs, I decided to use this platform as a medium to share these moments that were central to this artistic research, also containing a published article. The form of relationship established between these materials, with mutual connection and sharing of information and resources, was similar to a network that was developed throughout this research, through practical experience and application. This network, here refered as "Plant Wide Web", contributed crucially to the creation of the final artistic product of this research, "Intertwined Paths: an embodied journey of connection with plants" (2024).

It Will Be Fine, is engaging in the language of visual representation through the combined mediums of painting, photography and artificial intelligence (Ai) together with images held in the Special Collection picture archive in Bergen. To reflect on the ways in which meaning and memory is constructed and conveyed through visual forms and knowledge systems.

This exposition reflects on how machine learning can be integrated with algorithmic composition and live coding to expand digital music creation. The research examines how ML-driven sound analysis, training data, and interactive models reshape compositional workflows. By viewing machine learning as an interpretative and generative process rather than a mere tool, this project challenges conventional boundaries between data gathering, system design, and artistic practice. The discussion is framed through experimental approaches that merge sound synthesis, live coding, and model training, questioning how algorithmic systems can act as both agents of composition and reflective mirrors of musical intention. Through the interplay of structured data, generative models, and exploratory workflows, the study situates machine learning within a broader conversation about creativity, computation, and the evolving role of the composer-programmer.

Intellectual landscape in mathematics, quantum mechanics and physics, philosophy of science, and other fields. Henri Poincaré's mathematical insights and Albert Einstein's seminal thought experiments opened the door to understanding the most fundamental aspects of physical reality, from the subatomic realm of particles and fields to the largest galactic superclusters and the origin of the universe itself. The pioneering work of Poincaré and Einstein in the early 20th century fundamentally changed our understanding of the universe, calling into question long-held ideas about space, time, and the very core of reality. Epicurus’ groundbreaking reflection in these fields influence the fields of applied mathematics today, profoundly shaping the scientific understanding of the solid forms that make up the universe.

Quantum methods, based on differential equations, proved invaluable for many applications, ranging from building complex machines to mapping the motions of celestial objects. They represent a decisive advance in humanity's ability to understand and quantify the multi-dimensional reality. Epicurus’ groundbreaking reflection in these fields influence the fields of applied mathematics today, profoundly shaping the scientific understanding of the solid forms that make up the universe.

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