Resume
Education
2023 -
George Mason UniversityComputer Science PhD
• Advisor: Prof. Lap-Fai (Craig) Yu
• Member of the Design Computing and eXtended Reality (DCXR) research group.
• Leading member and Secretary of the Computer Science Graduate Students Association (CSGSA).
2022 - May 2023
George Mason UniversityComputer Science M.S
• Member of the Design Computing and eXtended Reality (DCXR) research group.
• Leading member and Secretary of the Computer Science Graduate Students Association (CSGSA).
2018 - 2021
George Mason UniversityComputer Science B.S
Experience
Researcher, Lab Member
Design Computing and eXtended Reality (DCXR) - George Mason University
• Advisor: Prof. Lap-Fai (Craig) Yu
Conducted research in virtual reality, gameplay design/engineering, machine learning, and systems analysis with the aim of publishing in the top academic conferences.
• As a member of the lab, I have been able to:
- Receive mentorship from Prof. Yu.
- Collaborate with lab members.
- Access equipment and software required in research & development.
- Attend seminars, conferences, and related events.
Virtual Reality Director
Global Co Lab Network
• Created virtual reality hubs for the Global Co Lab to host conferences and present fieldwork addressing social issues.
• Optimized the prior build by 70% by utilizing functionalities in Blender, Spoke and Photoshop to reduce rendering workload.
• Instructed and mentored 3 teams towards developing educational and entertaining VR environments for the UN Sustainable Development Goals (SDG) Metaverse Competition
• Presented work at the United Nations Science Technology and Innovation Forum.
Reviewer
IEEE VR 2023
Building in VR Camp Instructor
Cyber Bytes Foundation
• Developed a comprehensive, 5-day curriculum with 30 hours of educational content to teach virtual reality development concepts to 20 students.
• Harnessed knowledge based on emerging VR technology through attending lectures, conducting research, and attending seminars & conferences to construct content from the field of VR.
• Integrated advice from the Mozilla Hubs team to further improve the quality and comprehensiveness of teaching materials.
Publications
Predicting Users’ Difficulty Perception in Virtual Reality Games
George Mason UniversityErdem Murat, Liuchuan Yu, Siraj Sabaj, Haikun Huang, Lap-Fai Yu
ACM UIST 23’ Under review
• Proposed a novel application that uses machine learning to predict users’ difficulty perception in virtual reality games.
• Addressed issues in VR game design by adapting decades of non-VR game design and gameplay engineering research.
• Obtained IRB certificate, collected data by conducting 70+ user studies, and trained a recurrent neural network to understand recurring relationships between game parameters, user data, and gameplay data.
Understanding User Experience of Online Education in Metaverse: A Systems Perspective
George Mason UniversityRuizhi Cheng, Erdem Murat, Lap-Fai Yu, Songqing Chen, Bo Han
Under Review
• Proposed a novel analytic method that combines qualitative and quantitative analysis with end-to-end network measurements to understand user experience in VR education and detect bottlenecks in system performance.
• Deployed a Mozilla Hubs server-client system with custom JavaScript scripts to record client-side performance through an API.
• Used Python and Jupyter Notebook to compute, visualize and analyze systems data.
• Gave a VR lecture to 23 Graduate students and later assisted a Meta researcher in using my platform for a seminar.
Machine Learning Automation for Virtual Reality - Master’s Thesis
George Mason University• Developed a system to address a limitation in VR development research and proposed a solution that improves user experience through machine learning to automate the manipulation of experience-affecting parameters in VR.
• Deployed a testing system to record the effect of parameter manipulation on user experience based on a 10-point rating scale of difficulty, fun, and stress.
• Used collected data to train a machine learning regressor the relations between game parameters and perceived difficulty with low prediction error (26%).
• Obtained IRB certificate for social and behavioral research and conducted user studies with over 50 participants
Coding Languages
Python
C#
C++
C
Java
SQL
JavaScript
HTML / CSS
R
SAS
Assembly
Tools
Unity
VS Studio
OpenGL
Eclipse
Amazon Web Services
Unreal
Certificates
