photobar Communication Control Lab Robotics Signal Processing Power and Energy


Contact Us

James S. Freudenberg, Director
4213 EECS
Ann Arbor, MI 48109-2121
PH: 734-763-0586
Beth Lawson,
Lab Administrator

4233 EECS
Ann Arbor, MI 48109-2121
PH: 734-764-5220

Michigan native Claude Shannon is the father of information theory. Born in 1916 in Petoskey, Michigan, and raised in Gaylord, he obtained two bachelor degrees from the University of Michigan in 1936, on one in electrical engineering and a second in mathematics. His pioneering work on the theory of information laid the foundations for the modern era of digital communications.

About the Systems Laboratory

The EECS Systems Laboratory is located on the fourth floor of the EECS building on UM's North Campus. The laboratory consists of 19 faculty whose teaching and research activities span the fields of communications, control, and signal processing. Major research thrusts exist in the theory and application of robotics, discrete event systems, biosystems, computational imaging, statistical machine learning, compressive sampling and wireless networks. Much of the research in the laboratory is cross-cutting and interdisciplinary, involving collaborations across the College of Engineering (biomedical, chemical, mechanical, nuclear, civil, and aerospace), the School of Medicine (pathology, radiology, radiation oncology, cardiology, otolaryngology, ophtalmology, bioinformatics), the College of Literature, Sciences and the Arts (mathematics, statistics, biology, physics) and the School of Music.

Information for Graduate Students

This website is the best place to start if you are interested in pursuing graduate studies in the general areas of Communications, Control, and Signal Processing. Our faculty and students are active in a broad spectrum of cutting-edge theoretical and applied research, and our alumni are pursuing successful careers in industry and academia. Please don't hesitate to contact us if you need more information about our program.


Awards and Announcements

Sensors in the Soil (video) Soil moisture information is just as important to NASA engineers as it is to local farmers. For example, this data is used to monitor climate patterns and predict landslides. Prof. Mingyan Liu is working on a system that will make collecting and analyzing this data more accurate.
Solving the Big Data Dilemma Prof. Laura Balzano talks about how to get the best results from big collections of data. Science, healthcare, economics, infrastructure and government could be completely changed by effectively using big data.
MABEL at the Chicago Field Museum MABEL, the record-breaking bipedal robot who was taught to walk and run by Prof. Jessy Grizzle and his team, has arrived at the Chicago Field Museum, where she will part of the biomechanics exhibit through January 2015.