Marcus A. GordonYork University · Department of Digital Media
Marcus A. Gordon
Building a mini-language for live coding architecture, and for electroacoustic improvisation with modular synthesizers.
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PhD candidate in Computational Arts at York University. Research explores live coding performance, composition and improvisation with modular synthesis, and architectonic media intervention.
September 2021 - December 2021
January 2021 - May 2021
As a part of a larger doctoral research, the LTTP (Listen to the Pictures) project involves the building of an image-based synthesizer, processing image pixel information as sound signals. In its current state, LTTP has been built as a module of sigv.js (presented at the VISTA Summer 2022 Conference), for use as a synth in live coding performance....
This research-creation project focuses on the making of a mini-language for live coding performance and composition. The research stems from the concept of live coding architecture, a proposed art practice that encourages improvisation of (and “in”) architectural spaces through the act of live coding.
ICECUBE LED Display [ILDm^3] is a cubic-meter, 1/1000th scale model of the IceCube Neutrino Observatory, a novel telescope that looks for nearly invisible cosmic messengers, neutrinos, using a cubic-kilometer of instrumented ice starting 1450 meters below the surface at the South Pole. The display uses art methodologies as a means for expressing im...
Student presentation of research explorations in archimusic, live coding and volumetric displays. VISTA (Vision: Science to Applications) Doctoral Trainee Presentation at Virtual Vision Futures Conference – June 14th -17th, 2021. https://www.yorku.ca/cvr/virtual-vision-futures-conference/
In this work we present a visualization pipeline to express a series of magnetic resonance imaging (MRI) volume data, as a full colour hologram. Our pipeline highlights salient structure information which reside within the data without extensive processing of the raw MRI, utilizing its full spatial and temporal characteristics. We present a unique...
Media industries and advertisers are increasingly turning to big data analytics to better understand audience media consumption patterns, as evidenced by Canada’s Globe and Mail’s applications Sophi and TasteGraph [1, 2]. Data analytics and interface design provide complementary perspectives for large datasets. HCI design principles have been appli...
The OCAD University Visual Analytics Laboratory (VAL) has developed a taxonomy of end users, software systems, data types, tasks and interactivity within the domain of smart city transportation planning. This paper contributes to the taxonomy by creating Compara, an intuitive, interactive and searchable index that visualizes the attributes of softw...
The widespread use of urban software and information technology infrastructure systems now demand new levels of complexity in data generation and data application across interoperating domains. Given this context, and discoveries in visual analytics research that reveal knowledge is created, verified, refined and shared through the interactive mani...
Visualization and visual analytics tools can provide critical support for experts and stakeholders to understand transportation flows and related human activities. Correlating and representing quantitative data with data from human actors can provide explanations for patterns and anomalies. We conducted research to compare and contrast the capabili...
With my thesis project, Habitat 44º, I investigate the complexity of holographic space and how holography has the potential to augment the observers’ view of their surrounding environment. The purpose of this research is to isolate unique characteristics of architecture and holography to lay the foundation for my art practice. In the field of holog...