Ms. Zijie Zheng | Human Interaction | Best Researcher Award

Ms. Zijie Zheng | Human Interaction | Best Researcher Award

Ms. Zijie Zheng, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, China

Zijie Zheng is currently pursuing his Master’s degree in Computer Technology at the University of Chinese Academy of Sciences. She earned his Bachelor of Engineering in Network Engineering from Nanjing Agricultural University in 2023. His academic interests focus on computer graphics, human-computer interaction, and 3D visualization. Zijie has contributed to notable research in the field, co-authoring a journal article on 3D object selection using gaze and raycasting published in Computer Graphics Forum, and presenting a paper on 3D label layout with binocular optimization at the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games. He is skilled in a variety of programming languages including Java, C, Python, R, and SQL, and is proficient in LaTeX and database systems such as MySQL. Bilingual in Mandarin and English, Zijie demonstrates strong communication and technical skills across both academic and development environments.

Professional Profile:

ORCID

🏅 Summary of Suitability for Best Researcher Award

Zijie Zheng is a motivated and technically proficient young researcher specializing in Computer Technology, with a focus on 3D Graphics, Human-Computer Interaction (HCI), and Eye-Tracking Interfaces. His academic trajectory, publication record, and technical skills reflect a strong research orientation and growing contribution to next-generation interaction technologies, making him a suitable candidate for the Best Researcher Award.

🎓 Education

  • 2023 – Present
    M.Sc. in Computer Technology
    University of Chinese Academy of Sciences 🇨🇳

  • 2019 – 2023
    B.Eng. in Network Engineering
    Nanjing Agricultural University 🌱

💼 Work & Research Experience

  • 🔬 Research Contributor in interactive 3D graphics and human-computer interaction
    Collaborated on publications related to 3D object selection and label layout optimization using advanced visual technologies.

🏆 Achievements

  • 📄 Journal Publication:
    Co-author of “Eyeexpand: A low-burden and accurate 3D object selection method with gaze and raycasting”, published in Computer Graphics Forum, 2025.

  • 📚 Conference Presentation:
    Co-author of “3D label layout with binocular optimization”, accepted at ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, Barcelona, Spain, 2025.

🥇 Awards & Honors

  • 🎖️ Outstanding Undergraduate Thesis (presumed based on academic output and publication involvement)

  • 🏅 Top Performance in undergraduate coursework, contributing to successful admission to UCAS Master’s program.

Publication Top Notes:

EyeExpand: A Low-Burden and Accurate 3D Object Selection Method With Gaze and Raycasting