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 >
H.V. Jagadish named Edgar F. Codd Distinguished University Professor of EECS
Professor Jagadish is being recognized for his work as one of the nation’s most visible and influential researchers in the interdisciplinary field of data science
Open source platform enables research on privacy-preserving machine learning
Virtual assortment of user devices provides a realistic training environment for distributed machine learning, protects privacy by learning where data lives.
CSE researchers present five papers at ISCA 2022
17 U-M researchers proposed a variety of techniques to speed up complex graph algorithms, encrypted cloud computing, memory-intensive matrix operations, and more.
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.