Computational Imaging explores images that are not captured by a camera but produced through rules, measurements, and temporal reconstruction.
The work investigates how visual media shifts from recording reality to generating it. Instead of representing space, the image becomes an event shaped by data, duration, and viewpoint.
These projects examine perception and authorship in systems where the camera no longer defines the frame. Meaning emerges from interaction between algorithm, movement, and observer.
The research develops visual methods operating between design, sensing technologies, and simulation, positioning the image as a process rather than an artifact.
Research Questions
- When does an image stop functioning as evidence and become a computation?
- How does algorithmic authorship reshape visual literacy?
- Can spatial data operate as a readable visual language?
- What becomes composition when the frame is generated instead of chosen?
Selected Projects
Methods & Tools
TouchDesigner, custom image processing pipelines, sensor-driven systems, procedural generation, and spatial reconstruction workflows combining 3D computation with visual communication strategies.
Pedagogical Integration
This research informs courses in motion graphics, interactive media, and emerging technologies, where students work with rule-based image systems rather than fixed software workflows. The objective is to teach adaptability to evolving media instead of proficiency in a single toolset.e from systems instead of cameras.
The goal is to develop visual methodologies that operate between design, simulation, and sensing technologies.