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.
Position: PhD Researcher
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.
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.
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.
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
New York, NY