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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

Data center connections

Computer Systems Lab

The Computer Systems Lab works on research covering a number of areas in operating systems, distributed systems, computer architecture and security.

Gloved hands piping liquid into a smalll rectangular nanopore device connected to a laptop

Molecular Information Systems Lab (MISL)

MISL explores the intersection of information technology and molecular biology using in-silico and wet lab experiments, drawing upon expertise from computer architecture, programming languages, synthetic biology and biochemistry.


Faculty Members

Faculty

Faculty

Faculty


Centers & Initiatives

The UW Center for the Future of Cloud Infrastructure (FOCI) aims to foster a tight partnership between practitioners and researchers in both industry and academia to define the next generation of cloud infrastructure to achieve new levels of security, reliability, performance along with cost-efficiency and environmental sustainability.

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.

Highlights


Allen School News

The Association for Computing Machinery (ACM) recognized Mahajan (Ph.D., ‘05) among its 2025 class of ACM Fellows for his groundbreaking “contributions to network verification and network control systems and their transfer to industrial practice.”

UW News

A team led by UW researchers created a system that uses a phone’s existing speaker and microphone to accurately estimate fetal heart rate by mimicking Doppler ultrasound.

Allen School News

As part of this year’s cohort in the Outstanding Undergraduate Researcher Awards, the Computing Research Association (CRA) recognized four Allen School undergraduates — awardee Haoquan Fang, finalist Hao Xu and honorable mention recipients Kaiyuan Liu and Lindsey Wei.