Mufeng Zhu
Scholar

Mufeng Zhu

Google Scholar ID: xbxvaqcAAAAJ
Ph.D, Rutgers University
Immersive video streaming3D Gaussian SplattingNeRF
Citations & Impact
All-time
Citations
17
 
H-index
3
 
i10-index
0
 
Publications
10
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • - Published multiple papers, including 'SGSS: Streaming 6-DoF Navigation of Gaussian Splat Scenes' and others.
  • - 'LTS: A DASH Streaming System for Dynamic Multi-Layer 3D Gaussian Splatting Scenes' received the Best Paper Award.
  • - Received Paul Panayotatos Scholarship (2025), ECE Leadership and Service Award (2025), and Best Teaching Assistant Award (2023).
Research Experience
  • - Research Intern - Volumetric Representation, Dolby Laboratories, Sunnyvale, CA, Sep 2025 - Dec 2025
  • - Teaching Assistant and Lab Instructor for Virtual Reality & Technology, Spring 2023, Spring 2024, Spring 2025
  • - Teaching Assistant for Programming Methodology II, Fall 2022
Education
  • - Doctor of Philosophy, Electrical and Computer Engineering, Rutgers, The State University of New Jersey, 2022 - present
  • - M.S., Electrical and Computer Engineering, Rutgers, The State University of New Jersey, 2020 - 2022
  • - B.S., Information and Communication Engineering, University of Electronic Science and Technology of China, 2017 - 2021
Background
  • - Currently a PhD student in Electrical and Computer Engineering at Rutgers University, supervised by Prof. Yao Liu.
  • - Research interests include immersive video streaming technologies, particularly streaming 3D Gaussian Splatting and Neural Radiance Fields (NeRF).
  • - Research projects address system challenges such as bandwidth and computation limitations.