Michigan Systems Laboratory
Faculty at the University of Michigan Computer Science & Engineering Division whose work spans distributed systems, operating systems, security, cyber physical systems, networking, databases, and software engineering.
The Systems Lab is hiring!
The Systems Laboratory at the University of Michigan comprises a multidisciplinary group of researchers conducting research in systems. The lab focuses on the experimental design, implementation, and evaluation of systems software technologies, which enable the development of a wide range of emerging applications.
Learn more at the U-M CSE Faculty Hiring webpage >
Prospective graduate students
Enabling technologies covered by the Systems Lab include biological databases, collaborative computing, compiler and language design, embedded and real-time computing, fault-tolerant computing, file systems, host and network security systems, mobile and distributed systems, network protocols and architectures, operating systems, peer-to-peer storage systems, power-aware adaptation, security policy management, virtual machines, web databases.
Visit our prospective student page on the CSE website >
Enabling efficient, globally distributed machine learning
A group of researchers at U-M is working on the full big data stack for training machine learning models on millions of devices worldwide.
Tools for “more humane coding”
The Future Programming Lab envisions a more seamless coding experience.
Exploring faster ways to think like a software developer
Beginner and expert programmers think about code very differently while they program, an insight that can inform more tailored training.
Tools for “more humane coding
Assistant professor Cyrus Omar and PhD student David Moon describe their work to design more intuitive, interactive, and efficient coding environments that can help novices and professionals alike focus on the bigger picture without getting bogged down in bugfixing.
Making complex software more reliable
Assistant professor Manos Kapritsos, a researcher in CSE’s Systems Lab, studies how formal verification can be used to ensure even the most complex, distributed systems can be guaranteed correct without testing.