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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

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.

Purple-tinted English QWERTY keyboard

Programming Languages & Software Engineering Group (PLSE)

The Programming Languages and Software Engineering Group advances fundamental research and practical applications in programming environments, program analysis, language design, synthesis, compilers, testing, verification and security.


Faculty Members

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.

IFDS organizes its research around four core themes: complexity, robustness, closed-loop data science, and ethics and algorithms. By making concerted progress on these fundamental fronts, IFDS aims to lower several of the barriers to better understanding of data science methodology and to its improved effectiveness and wider relevance to application areas.

Highlights


Allen School News

Kasikci was recognized for his work developing techniques for systems that are both efficient and dependable, which can help prevent bugs that can lead to data loss, security vulnerabilities and costly critical infrastructure failures.

Allen School News

Mahajan (Ph.D., ‘05) was recognized for his work on Batfish, an open source network configuration analysis tool that helps find errors and prevent costly outages that could disrupt air travel, banking, communications and more.

Allen School News

Winners Andrew Alex and Megan Frisella aim to advance research in user-scheduled programming languages, while fellow Allen School winner Zixian Ma and UW ECE collaborator Yushi Hu will develop multi-modal AI agents capable of performing complex tasks.