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 >
Google Award to make widely used software testing technique more effective
Baris Kasikci plans to improve software fuzzers by learning how deployed software is most commonly run by users.
Best paper award for simplifying data transformation
The researchers proposed a set of formal tools to make statistical data transformation easier to document and understand.
Four papers with Michigan authors at SIGCOMM 2021
ACM SIGCOMM’s annual conference is the leading conference in data communications and networking in the world.
Making technology safer for the marginalized
PhD student Allison McDonald is working with Profs. J. Alex Halderman and Florian Schaub (School of Information) to protect vulnerable and marginalized communities from cyber threats.
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.