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Software & Hardware Systems

Our researchers are driving innovation across the entire hardware, software and network stack to make computer systems more reliable, efficient and secure. 

From internet-scale networks, to next-generation chip designs, to deep learning frameworks and more, we build and refine the devices and applications that individuals, industries and, indeed, entire economies depend upon every day.


Research Groups & Labs

Orange boxes of varying sizes stacked against each other against a dark background

Sampa

Sampa is an interdisciplinary computer architecture group whose research crosses multiple layers of the system stack, from hardware to programming languages and applications, motivated by new device technologies and applications.

Closeup of silicon chip technology

Bespoke Silicon Group

The Bespoke Silicon Group aims to bring hardware design to its highest art and rapidly conceive of, design and implement entirely new kinds of hardware faster than has ever been done before.


Faculty Members

Faculty

Faculty

Faculty


Centers & Initiatives

MEM-C is a NSF Materials Research Science and Engineering Center that integrates materials innovations with theory and computation to advance spin-photonic nanostructures and elastic layered quantum materials, aided by an “AI Core” that integrates artificial intelligence-driven materials discovery.

The NSF AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION) seeks to change the way mission-critical systems are protected against sophisticated, ever-changing security threats. In cooperation with (and learning from) security operations experts, intelligent agents will use complex knowledge representation, logic reasoning, and learning to identify flaws, detect attacks, perform attribution, and respond to breaches in a timely and scalable fashion.

Highlights


Allen School News

The fellowship will support Zhang’s work in sustainable ubiquitous computing, including the development of recyclable electronics and leveraging artificial intelligence to estimate carbon footprints and provide personalized health insights.

Allen School News

In a Q&A, professor Kurtis Heimerl and postdoc Esther Han Beol Jang (Ph.D., ‘24) discuss their work with residents of two Seattle tiny house villages on how they can leverage smart technologies to improve living conditions, balanced against concerns such as cost and continuity of deployment.

Allen School News

To help make datasets easier to explore, in 2015, a team of researchers led by Heer introduced Voyager, a system that automatically generates and recommends charts and visualizations based on statistical and perceptual measures — which earned the InfoVis 10-Year Test of Time Award at IEEE VIS 2025.