Meehae Song

Meehae has been working in various forms of 3D-based VR applications for the past 20 years including manufacturing to architectural visualizations. She has industrial 3D and VR visualization and application experience and have been extracting theoretical and historical VR knowledge to apply in today‘s VR/MR/AR environments. Through her years of experience, Meehae can distil and communicate the complexities of VR today and VR tomorrow to diverse audiences. She has taught at NTU, SFU, UBC and RED Academy.

Currently, she is completing her PhD at the School of Interactive Arts and Technology, SFU under Dr. Steve DiPaola. Her PhD research focuses on generating amorphous 3D environments through one’s biofeedback and psychophysiological measures.

Contact: meehaes@sfu.ca

Position: PhD Researcher

  https://www.meehaesong.com

Research

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.

Deep Learning AI Creativity For Visuals / Words

Using Cognitive Science as a basis for our work, we attempt to model aspects of human creativity in AI. Specially we are using Neural Networks (and evolutionary systems) in the form of Deep Learning, CNNs, RNNs and other modern techniques to model aspects of human expression and creativity.

AI Empathetic Painter

We will combine our AI work in Empathy based modeling for AI Character Agents with our Deep Learning-based Creativity system (see papers and work in PDF) that realizes a fine art portrait from sitters.

Publications

https://ivizlab.org/wp-content/uploads/sites/2/2019/05/BioFlockVR-thumb-300x300.png

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: https://doi.org/10.1145/3313950.3313978

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

New York, NY

ACM

https://ivizlab.org/wp-content/uploads/sites/2/2018/07/framework-song-300x180.jpg

Framework for a Bio-Responsive VR for Interactive Real-time Environments and Interactives
Conference Proceedings: Electronic Visualisation and the Arts, British Computer Society, July 2017

M. Song, S. DiPaola

London, UK

https://ivizlab.org/wp-content/uploads/sites/2/2017/09/eva2015bT.jpg

Exploring Different Ways of Navigating Emotionally-responsive Artwork in Immersive Virtual Environments
Conference Proceedings: Electronic Visualisation and the Arts, 2015
8 pages

M. Song, S. DiPaola

London, UK

British Computer Society