Zhuang Chengbo by the San Francisco Bay during UC Berkeley Summer Sessions

Zhuang Chengbo / Mike

Zhuang Chengbo (Mike)

Future Technology (Robotics) student at Tongji University building semantic 3D workflows, simulation systems, and digital twins.

My interests center on robotics and embodied intelligence: multi-source perception, information fusion, and 3D scene understanding.

I turn algorithm prototypes into inspectable, reproducible systems for simulation, semantic 3D modeling, and physical-environment interaction.

  • Simulation Systems
  • Digital Twins & Semantic 3D
  • Applied AI & LLM Research

Berkeley, California · Summer 2026

Base
Shanghai, China
School
Tongji University
Track
Future Technology (Robotics)
Approach
Project Lead + Builder

Work

Selected Work

A compact view of the work that best represents my direction across digital twins, simulation systems, and applied AI.

National Undergraduate Innovation Project (2026) · Project Lead 2025 - Present

Tongji Southwest Building No.1 Digital Twin

A national-level digital twin and privacy-sensitive campus sensing project built around the iS3 platform.

  • Integrated multi-source campus activity data, MCP-connected AI agent services, multi-device visualization, and local encryption.
  • Designed MQ-135 odor sensing, LED/TCS34725 non-visual foreign-object detection, and indoor laser communication for real-time alerts in privacy-sensitive spaces.
Shanghai Municipal Innovation Project (2026) · Project Lead 2025 - Present

Generative Multimodal Semantic 3D-to-BIM System

A research project exploring semantic 3D reconstruction and editable building models for smart spaces.

  • Investigates how real-world spatial observations can support engineering-oriented modeling and digital twin applications.
  • Prototype development and evaluation are ongoing.
UC Berkeley ENGIN 170E · Deployed Research Prototype 2026

EventShock Lab

A bilingual counterfactual market-stress laboratory for comparing matched simulations in which exactly one declared condition changes.

  • Combines human-reviewed evidence, frozen event packs, deterministic multi-agent simulation, and bounded LLM-assisted cognition.
  • Reports paired differences, uncertainty intervals, mechanism traces, and reproducibility exports without presenting synthetic paths as forecasts.
Open Source · Registered Software Copyright 2026

LBM Multi-Scenario Fluid Dynamics Simulator

An open-source lattice Boltzmann simulation system for multi-scenario fluid evolution, vortex dynamics, parameter studies, and visual analysis.

  • Covers Kármán vortex streets, complex obstacles, image mazes with BFS coupling, and NACA 0012 airfoil flow.
  • Supports interactive flow, vorticity, and lift visualization plus GIF/MP4 export; software copyright registered in May 2026.

Registrations / Intellectual Property

Software copyright registered May 2026

LBM Multi-Scenario Fluid Dynamics Simulator

基于格子玻尔兹曼方法的多场景流体动态演化仿真系统 V1.0

  • Registration No.: 2026SR0625978
  • Co-copyright holder: Zhuang Chengbo
Open repository
Software copyright registered Aug 2026

Random Traffic Flow Dynamic Simulation System

随机车流动态仿真模拟系统 V0.2

  • Registration No.: 2026SR0867457
  • Co-copyright holder: Zhuang Chengbo
Open repository

Additional Work

Other Engineering Work

Selected secondary systems that extend the main robotics, simulation, and practical AI narrative.

Robotics & multi-agent planning

Smart Warehouse AGV Path Planner

A C++17 planning core with A*, Dijkstra, and CBS multi-robot coordination, exposed through FastAPI with 2D and 3D trajectory visualization.

View repo Open live demo

Embodied AI · National research speech semifinal second prize

Mind-Matter Classroom

A Unity embodied-cognition prototype connecting MediaPipe perception and gesture input through UDP to swarm robots and shallow-water simulation.

View repo

Full-stack systems & operations

CEACStatusBot Web

A self-hosted multi-user visa-status monitoring service with scheduling, notifications, encrypted credentials, worker queues, and an admin console.

View repo

Professional Experience

Mudanjiang Chenxian Technology Co., Ltd.

Software Engineering Intern

Jul 2026 - Present | Mudanjiang, China

Built and deployed a Taobao Alliance rewards service using FastAPI, SQLite, Nginx, and GitHub Actions, with link parsing, commission checks, reward-status tracking, idempotent operations, and transaction risk controls.

Snapshot

Education, progress, research interests, and current focus in one scan.

Instead of spreading the story across many long sections, the essentials live here as a concise snapshot.

Education

  • Tongji University

    2025 - 2029 (Expected) | Shanghai, China

    Guohao College · Future Technology Class (Robotics)

  • UC Berkeley Summer Sessions

    Jul 6 - Aug 14, 2026 | Berkeley, CA

    Completed 7 credits · GPA 3.871 · COGSCI 139: A+ · ENGIN 170E: A-

  • Oxford Prospects and Global Development Institute

    Jan 25 - Feb 7, 2026 | Oxford, UK

    Short STEM programme at Regent's Park College · A+

Achievements

  • Shanghai Higher Education Intelligent Agent Competition (Team Track First Prize)

    Shanghai Higher Education Institutions | 2026

    Awarded first prize in the team track.

  • National College Student Rail Transit Science and Technology Innovation Competition (Silver Award)

    China Railway Society | Aug 2026

    Team award in railway engineering at the inaugural competition.

  • Annual Qiusuo Star

    Tongji University | 2025 - 2026

    Selected for Tongji University's annual university-level honor.

  • Tongji Physics Tournament (Second Prize)

    Tongji University | 2025

    Team award in the inaugural university physics academic competition.

  • Tongji Mathematical Modeling Competition (Undergraduate Third Prize)

    Tongji University | 2026

    Team award in the undergraduate division.

Now

  • Researching semantic 3D reconstruction and scene understanding for smart spaces.
  • Following LLM research, especially reasoning, agents, and evaluation for practical AI systems.
  • Exploring spatial semantic representations for robot task planning and autonomous decision-making.

Contact

Reach out without hunting for the important details.

For collaboration, research discussion, or project opportunities, email is the best way to reach me.

Shanghai, China

Email Me

mike@mikezhuang.cn

CV available upon request.

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