Erdem Murat

I am a Computer Science Master's student at George Mason University with a research focus on Virtual Reality. I am scheduled to graduate May 2023 and hope to pursue a job in VR development/research post-graduation. I am seeking roles that support international students like myself.

About Me

  • Computer Science master's student at George Mason University. Scheduled to graduate May 2023.
  • Looking for full-time jobs in VR Development/Engineering, SWE, ML, CV, Game Engineering and Graphics Engineering.
  • Expertise in developing VR systems for education, sports, and game research, as demonstrated through my involvement in relevant research.
  • Has publication "Understanding User Experience of Online Education in Metaverse: A Systems Perspective" under review and completed a master’s thesis on "Machine Learning Automation for Virtual Reality".
  • Experience with Unity, Machine Learning, Artificial Intelligence, Computer Vision, Computer Graphics, and Autonomous Robotics.
  • Volunteer for teaching, mentoring, and consulting VR development and education.

Resume

Education

2023 -
George Mason University

Computer 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 (Expected)
George Mason University

Computer 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 University

Computer Science B.S

Experience

January 2022 - Current

Researcher, Lab Member

Design Computing and eXtended Reality (DCXR) - George Mason University

• Advisor: Prof. Lap-Fai (Craig) Yu

• Led 3 research projects in various domains, including Virtual Reality (VR), Machine Learning (ML), Game Development & Engineering, Systems Analysis, and Sports Research.

• As a member of the lab, I have been able to:

  • Receive mentorship from Prof. Yu.
  • Collaborate with lab members.
  • Access equipment required in research.
  • Attend seminars, conferences, and  related events.
July 2022 - Current

Virtual Reality Director

Global Co Lab Network

• Created virtual reality hubs for the  Global Co Lab to host conferences and enable remote attendees to virtually view and engage with projects and 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 innovative and educational VR environments for the UN Sustainable Development Goals (SDG) Metaverse Competition

January 2023

Reviewer

IEEE VR 2023
June 2022 - July 2022

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.

Academic Research

January 2022 - November 2022

Understanding User Experience of Online Education in Metaverse: A Systems Perspective

George Mason University

Ruizhi 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.

January 2022 - December 2022

Machine Learning Automation for Virtual Reality - Master’s Thesis

George Mason University

View Paper Here

• 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

95%

C#

90%

C++

85%

C

85%

Java

85%

SQL

70%

JavaScript

65%

HTML / CSS

65%

R

60%

SAS

60%

Assembly

55%

Tools

Unity

95%

VS Studio

90%

OpenGL

85%

Eclipse

85%

Amazon Web Services

80%

Unreal

70%

Certificates

Group 1 Social and Behavioral Research

CITI Program

Projects

My Works
Virtual Reality Education

Virtual Reality Education

Distributed Systems, Systems Analysis, Virtual Reality
Motion Planning for A Multi-Robot System

Motion Planning for A Multi-Robot System

A.I, Autonomous Robotics
Test the Heights – Virtual Reality Game

Test the Heights – Virtual Reality Game

Virtual Reality
Why Did The Chicken Cross The Road? – Virtual Reality Game (THESIS RESEARCH)

Why Did The Chicken Cross The Road? – Virtual Reality Game (THESIS RESEARCH)

Game Development Research, Virtual Reality

Contact

Feel Free to Get in Touch

Fairfax, VA, USA

Open to relocation.

emurat@gmu.edu

Primary professional email.

erdemmurat1905@gmail.com

Personal Email.

linkedin.com/in/erdem-murat

Connect with me on LinkedIn!

Available for Work starting May 2023

Seeking roles in: • Virtual Reality Development/Engineering • Virtual Reality Research • Software Development/Engineering • Visual Computing / Graphics Engineering • Machine / Deep Learning