About Me
As a Research Fellow based in Singapore, I am currently working on the largest VR dataset in collaboration with Meta and NUS, to study motion sickness in virtual reality. My work involves innovative AR/VR applications aimed at solving industrial problems. My Ph.D. research at the Empathic Computing Lab, The University of Auckland, focuses on using multimodal inputs for remote collaboration and scene reconstruction.
My educational background includes a Master's in Human-Computer Interaction from the University of Canterbury, where my research centered on integrating haptic devices in VR, a project sponsored by MBIE. Professionally, I have over three years of experience in IT, spanning XR development and web technologies, including airline IT product development. My expertise covers Unity and Unreal Game Engines, programming in C#, C++, Java, JavaScript, Angular, and Node.js, and agile development methodologies. I am also working towards the commercialization of my research.
Experience
2023 - Current
Research Fellow
National University of Singapore
In my role as a Research Fellow, I work on the creation of a VR dataset and develop a machine learning model to predict motion sickness from VR gameplay videos. Additionally, I mentor students studying emotion detection using large language models for an emotion companion app and research VR's impact on stress reduction during floating.
2018 - 2019
XR Developer
JIX Reality, NZ
As an XR Developer, I collaborated with the National Museum of New Zealand to craft interactive exhibits like a sandbox projecting dynamic landscapes and a Leap Motion-based exhibit, along with developing cost-effective AR heads-up displays.
Education
2019 - 2023
Ph.D in Empathic Computing
University of Auckland
In my Ph.D. research, I focused on AR for local collaboration and VR for remote expertise, studying various techniques to facilitate teamwork. Using depth cameras for environment reconstruction and physiological cues to infer collaborators' emotions, I aimed to enhance collaboration efficiency.
2017 - 2018
Master of Human Interface Technology
University of Canterbury
For my Master's, I explored haptic feedback in VR, comparing direct and indirect types. I developed a vibrating floor and a suit for impact sensation, along with fans for indirect feedback. Through user studies, I assessed each feedback's impact on VR immersion.
Technical Skills
Game Engines
Unity, Unreal, GoDot
Python
Data Analysis
C#
Native Applications
C++
Embeded Systems
Full-Stack
This is not a template
JavaScript
This page is my testament
Achievements
Meta Presence Hackathon
Runner up
MYOB Challenge, NZ
Winner