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      content="EngineeringAI Lab builds open 3D world models for spatial intelligence, generative 3D scenes, motion, and decision-making."
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    <title>EngineeringAI Lab | About</title>
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    <header class="site-header">
      <a class="brand" href="index.html" aria-label="EngineeringAI Lab home">
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        <span>EngineeringAI Lab</span>
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        <a class="is-active" href="index.html">About</a>
        <a href="team.html">Team</a>
        <a href="projects.html">Projects</a>
        <a href="publications.html">Publications</a>
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      <section class="hero">
        <div class="hero-copy">
          <p class="section-kicker">Open 3D World Models-Lingjing</p>
          <h1>EngineeringAI Lab</h1>
          <p class="hero-text">
            We build 3D world models that connect representation, spatial synthesis,
            interaction dynamics, and decision intelligence for agents in digital worlds.
          </p>
          <div class="hero-actions" aria-label="Quick links">
            <a class="button primary" href="team.html">Meet the Team</a>
            <a class="button secondary" href="publications.html">View Publications</a>
            <a class="button secondary" href="https://github.com/orgs/EngineeringAI-LAB/repositories" target="_blank" rel="noreferrer">Github</a>
            <a class="button secondary" href="https://huggingface.co/datasets/EngineeringAI-LAB" target="_blank" rel="noreferrer">Hugging</a>
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        <div class="hero-media" aria-label="EngineeringAI Lab visual identity">
          <img src="Engineering-AI-Logo.png" alt="EngineeringAI Lab logo mark">
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      </section>

      <section class="section section-band" id="who-we-are">
        <div class="section-inner two-column">
          <div>
            <p class="section-kicker">Who We Are</p>
            <h2 class="who-title">A compact team for 3D world model research</h2>
          </div>
          <div class="copy-block">
            <p>
              EngineeringAI Lab was established by AP Huadong Mo at UNSW and
              Prof. Daoyi Dong at UTS, together with Zhenhong Sun. Zhenhong
              leads the practical research directions and coordinates the shared
              3D World Model agenda.
            </p>
            <p>
              EngineeringAI Lab is an innovation team focused on 3D World Model
              research and engineering deployment. We believe truly intelligent
              systems must understand, model, and interact with the 3D physical world,
              so we build world models with spatial perception, scene understanding,
              dynamic simulation, and interaction capabilities, connecting foundational
              construction, perceptual understanding, and decision-making action.
            </p>
          </div>
        </div>
        <div class="recruiting-callout">
          <div>
            <p class="section-kicker">Open to strong candidates</p>
            <h3>Interested in working with us?</h3>
            <p>
              We are recruiting PhD students or Research Assistants at UNSW and UTS.
              We welcome candidates with curiosity, passion, and engagement. Send a
              short introduction, and CV to
              <a class="emphasis-link" href="mailto:huadong.mo@unsw.edu.au">Huadong Mo</a> and
              <a class="emphasis-link" href="mailto:daoyi.dong@uts.edu.au">Daoyi Dong</a>. For informal
              questions, contact <a class="emphasis-link" href="mailto:zhenhong.sun@anu.edu.au">Zhenhong Sun</a>.
            </p>
          </div>
          <a class="button primary" href="mailto:huadong.mo@unsw.edu.au,daoyi.dong@uts.edu.au?cc=zhenhong.sun@anu.edu.au">Contact Us</a>
        </div>
      </section>

      <section class="section" id="we-work-on">
        <div class="section-heading wide">
          <p class="section-kicker">We Work On</p>
          <h2>Four shared directions for open 3D world models</h2>
          <p>
            Our research agenda follows the same four directions as
            LingJing 3D World Model work, turning a research vision into coordinated
            lab systems.
          </p>
        </div>
        <div class="direction-grid">
          <article class="direction-card">
            <span class="index">01</span>
            <h3>Foundation Representation and Manipulation</h3>
            <p>
              Compact and controllable 3D asset representations for reconstruction,
              editing, decomposition, and state prediction.
            </p>
            <ul>
              <li>Unified 3D asset representations</li>
              <li>Single-view and multi-view reconstruction</li>
              <li>Part-aware structure decomposition</li>
            </ul>
          </article>
          <article class="direction-card">
            <span class="index">02</span>
            <h3>Spatial Understanding and Synthesis</h3>
            <p>
              Agentic generation pipelines and engine-grounded tools for coherent 3D
              scenes, simulation data, and spatial evaluation.
            </p>
            <ul>
              <li>Compositional 3D scene generation</li>
              <li>Engine-grounded spatial perception</li>
              <li>Simulation data and benchmarks</li>
            </ul>
          </article>
          <article class="direction-card">
            <span class="index">03</span>
            <h3>Interaction Dynamics and Motion</h3>
            <p>
              Expressive avatars, human-scene interaction, and multi-person motion
              generation for dynamic digital worlds.
            </p>
            <ul>
              <li>2D and 3D talking avatars</li>
              <li>Human-scene interaction modeling</li>
              <li>Multi-agent motion and social dynamics</li>
            </ul>
          </article>
          <article class="direction-card">
            <span class="index">04</span>
            <h3>Decision Intelligence and Reasoning</h3>
            <p>
              LLM-based reasoning, language-guided planning, reinforcement learning,
              and decision systems for agents in 3D worlds.
            </p>
            <ul>
              <li>LLM-based world reasoning</li>
              <li>Language-guided planning</li>
              <li>Decision making in 3D environments</li>
            </ul>
          </article>
        </div>
      </section>

      <section class="section section-band" id="highlights">
        <div class="section-inner">
          <div class="section-heading wide">
            <p class="section-kicker">Highlights</p>
          </div>
          <div class="highlight-list">
            <article class="highlight-card highlight-wide">
              <span class="tag">Milestone</span>
              <h3>StoryBlender accepted to ECCV</h3>
              <p>
                StoryBlender is the first team-led paper from EngineeringAI Lab accepted
                to ECCV, marking an important milestone for our 3D World Model program.
              </p>
            </article>
            <article class="highlight-card highlight-wide">
              <span class="tag">Culture</span>
              <h3>Research quality, engineering execution</h3>
              <p>
                We value people who can turn ideas into datasets, simulators, tools,
                benchmarks, demos, and reproducible research infrastructure.
              </p>
            </article>
          </div>
        </div>
      </section>

      <section class="section" id="news-preview">
        <div class="section-heading wide">
          <p class="section-kicker">News</p>
          <h2>Recent lab updates</h2>
        </div>
        <ol class="news-list">
          <li>
            <time datetime="2026-06">June 2026</time>
            <div>
              <h3>StoryBlender accepted to ECCV</h3>
              <p>
                StoryBlender became the first EngineeringAI Lab team-led paper accepted
                to ECCV.
              </p>
            </div>
          </li>
          <li>
            <time datetime="2026-05">May 2026</time>
            <div>
              <h3>Zhenhong invited as Area Chair for NeurIPS 2026</h3>
              <p>
                The invitation reflects the lab's growing engagement with top-tier
                machine learning research communities.
              </p>
            </div>
          </li>
        </ol>
        <div class="section-action">
          <a class="button secondary" href="news.html">Read All News</a>
        </div>
      </section>

      <section class="section section-band" id="latest-posts">
        <div class="section-inner">
          <div class="section-heading wide">
            <p class="section-kicker">Latest Posts</p>
            <h2>Notes from the lab</h2>
            <p>
              Short research notes and project updates from our 3D World Model agenda.
            </p>
          </div>
          <div class="post-grid">
            <article class="post-card">
              <p class="post-meta">Milestone | June 2026</p>
              <h3>StoryBlender becomes our first ECCV team paper</h3>
              <p>
                A first team-level acceptance shows how the lab can coordinate research,
                engineering, writing, and system building around open 3D world models.
              </p>
            </article>
            <article class="post-card">
              <p class="post-meta">Research Note | February 2026</p>
              <h3>Why talking avatars need spatial dynamics</h3>
              <p>
                3DXTalker connects identity, lip motion, emotion, and head movement to
                make expressive 3D digital humans more controllable.
              </p>
            </article>
            <article class="post-card">
              <p class="post-meta">Hiring Note | 2026</p>
              <h3>What we look for in new lab members</h3>
              <p>
                We look for people who can think from first principles, implement
                carefully, communicate clearly, and stay curious across disciplines.
              </p>
            </article>
          </div>
        </div>
      </section>
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