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Xiaobei Zeng

PROFILE

Xiaobei Zeng

During a two-month period, Eric Zou developed and upgraded a robust 3D lab simulation for the MDSiam8/q2l_t3_stack repository, focusing on dynamic flask rotation, automated mix-solution animation, and enhanced workflow visualization. He implemented replay and navigation controls, enabling users to review and debug lab steps efficiently. Eric introduced a Mixed Flask model and expanded interaction steps, integrating them into the lab page with improved task explainability. His work leveraged React, Three.js, and TypeScript, demonstrating strong skills in 3D animation and front-end development. The resulting features provided a more intuitive, scalable, and reliable laboratory simulation experience without reported bugs.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

6Total
Bugs
0
Commits
6
Features
2
Lines of code
1,153
Activity Months2

Your Network

17 people

Same Organization

@jh.edu
8
Andrew ZalesakMember
Chaichontat SriworaratMember
Lucia CilloniMember
Melissa SchnureMember
NicholasMember
Ryan ForsterMember
Todd FojoMember
Yichao XuMember

Work History

November 2024

4 Commits • 1 Features

Nov 1, 2024

November 2024 monthly summary for MDSiam8/q2l_t3_stack focused on delivering a major upgrade to the lab simulation experience within the q2l_t3_stack repository. This included a comprehensive 3D visualization upgrade, introduction of a Mixed Flask model, and a broad expansion of lab interaction steps, integrated into the lab page with improved task explainability and workflow.

October 2024

2 Commits • 1 Features

Oct 1, 2024

October 2024 monthly summary highlighting the delivery of a robust 3D lab simulation feature in the MDSiam8/q2l_t3_stack repository, with dynamic flask rotation and automated mix-solution animation, enhanced by replay controls. The work consolidates prior changes to improve visuals, introduces auto-play and predefined target poses for flask and stopper, and provides replay/navigation controls to streamline review and debugging of lab steps. No major bugs fixed are reported in the provided data. Overall impact includes a more intuitive and reliable lab workflow visualization, reducing manual intervention and enabling faster validation of animation sequences. Technologies demonstrated include 3D visualization, animation sequencing, scene graph management, playback controls, and solid version-control traceability.

Activity

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Quality Metrics

Correctness80.0%
Maintainability76.6%
Architecture78.4%
Performance66.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

GLSLJavaScriptTypeScripttsx

Technical Skills

3D Animation3D ModelingAnimationFront-end DevelopmentReactReact Three FiberState ManagementTWEEN.jsThree.jsTypeScript

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

MDSiam8/q2l_t3_stack

Oct 2024 Nov 2024
2 Months active

Languages Used

JavaScriptTypeScriptGLSLtsx

Technical Skills

3D AnimationFront-end DevelopmentReactTWEEN.jsThree.jsTypeScript