Servet Ulas

Servet’s has a background in 3D modeling and game development. He holds an MA from Sabanci University with a thesis focus on environment design and narrative in video games. He has worked as an interactive art director and as a developer before his work with us. In his studies at the iViz lab, he focuses on the application of genetic algorithms for graphics content generation for real-time environments.

Contact: eulas@sfu

Position: PhD Researcher


BioSensing 2D / 3D / VR Systems

Our lab has extensive experience in using different sensing technology including eye tracking and facial emotion recognition (DiPaola et al 2013), as well as gesture tracking and  heart rate and EDA bio sensing (Song & DiPaola, 2015) to affect generative computer graphics systems.

GenFace - Exploring FaceSpace with Genetic Algorithms

Imagine an -dimensional space describing every conceivable humanoid face, where each dimension represents a different facial characteristic. Within this continuous space, it would be possible to traverse a path from any face to any other face, morphing through locally similar faces along that path. We will describe and demonstrate a development system we have created to explore what it means to ‘surf’through face space. We will present our investigation of the relationships between facial types and how this understanding can be used to create new communication and expression systems.


BioFlockVR: Exploring Visual Entrainment through Amorphous Nature Phenomena in Bio-Responsive Multi-Immersant VR Interactives
Conference Proceedings: 2nd International Conference on Image and Graphics Processing (ICIGP '19, March 03, 2019 2019
pp. 150-154. DOI:

M. Song, T. Tadeo, I. Sandor, S. Ulas, S. DiPaola

New York, NY