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update research interests section
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assets/css/modern.css

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grid-template-columns: 1.35fr 0.65fr;
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index.html

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<div class="home-hero__copy">
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<h1>Ordered Systems Lab</h1>
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<p>
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We design dependable computer systems for cloud, distributed, and ML platforms.
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Our work combines systems building with principled analysis to detect, localize,
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and prevent complex failures.
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Welcome! Our group aims to advance the principles and practice of building next-generation dependable
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systems that run on diverse computing platforms across the spectrum.
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</p>
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<div class="home-hero__actions">
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<a class="button bg" href="{{ '/about/' | relative_url }}">About the Lab</a>
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<!--================ Start scope section =================-->
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<section class="section-margin">
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<div class="container">
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<div class="scope-panel">
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<div class="scope-panel scope-panel--single">
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<div class="scope-panel__left">
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<h2>What We Build</h2>
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<p>From runtime checkers to fault injection frameworks, we create tools that make complex system behavior observable and debuggable.</p>
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</div>
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<div class="scope-panel__right">
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<span class="scope-chip">Operating Systems</span>
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<span class="scope-chip">Distributed Systems</span>
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<span class="scope-chip">Cloud Reliability</span>
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<span class="scope-chip">ML Training Reliability</span>
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<span class="scope-chip">Fault Injection</span>
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<span class="scope-chip">Runtime Verification</span>
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<h2>Research Interests</h2>
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<p>
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Our research spans broadly across operating systems, distributed systems, cloud computing, mobile systems, and ML infrastructure, while specializing in reliability,
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fault tolerance, and performance. Our work combines systems building with deep insights to address real-world challenges facing modern systems and enable <code>ORDER</code>.
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Our research innovations cover:
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<ul class="scope-focus-list">
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<li><strong>Foundation:</strong> Design formal reasoning techniques to ensure strong correctness guarantees in complex systems.</li>
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<li><strong>Abstraction:</strong> Introduce new abstractions and interfaces to address fundamental gaps while avoiding ad-hoc designs.</li>
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<li><strong>Analysis:</strong> Develop automated program analyses, data-driven methods, and ML techniques to better reason about system behavior.</li>
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<li><strong>Runtime:</strong> Build robust runtime mechanisms to observe, mitgate, and recover from assorted issues and enable self-adapting systems.</li>
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</ul>
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<code>ORDER := {Observable, Reliable, Defensible, Efficient, Responsive}</code>
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</p>
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</div>
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</div>
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</div>

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