The Laboratory for Intelligent Systems Technology (LIST) at the University of Michigan works at the boundary between traditional civil engineering and related engineering disciplines (such as electrical engineering, computing science, and material science) to convert civil infrastructure and urban systems into more intelligent and reactive systems through the integration of sensing, computing, and actuation technologies. By converting these vital societal systems into cyber-physcial systems (CPS), their performance and resiliency can be greatly enhanced.
The LIST research portfolio ranges from the development of novel sensing systems such as wireless sensors that can be embedded in the built environment to comprehensive data processing and decision support systems responsive to end user needs. The application of our research includes tracking the health and condition of critical infrastructure systems, modeling the resiliency of interdependent systems, development of control and reconfiguration strategies for CPS-powered urban systems, and the observation and modeling of human-infrastructure interaction that occurs in urban environments. Our research team works closely with a variety of stakeholders including infrastructure owners, municpal governments and communities to gain access to real-world operational systems for solution validation.
Our research embraces testing of our research products using real-world systems for validation. In particular, the LIST team has focused on the deployment of permanent wireless monitoring systems on a variety of bridges across the United States. The team deployed a dense network of wireless sensors on the New Carquinez Bridge (2010-2016), Telegraph Road Bridge (2011-present), Harahan Bridge (2015-present), Parkin Bridge (2015-present), and Newburg Road Bridge (2016-present). Additional field studies in structural monitoring have been performed on high-speed aluminum ships (U.S. Navy FSF-1 SeaFighter and U.S. Coast Gaurd RB-M) and wind turbines. More recent work is deploying wireless sensor networks as urban sensors to observe physical, evironmental and social urban processes. Irrespective of application domain, all of these field deployments have not only provide a living laboratory setting for validation but have also facilitated close collaboration with technology adopters and future end-users.
Jerome P. Lynch, Ph.D. is the Director of the Laboratory for Intelligent Systems Technology (LIST). At the University of Michigan, Dr. Lynch has been on the faculty since 2003 and is the Donald Malloure Department Chair of Civil and Environmental Engineering. In addition, he is Professor of Civil and Environmental Engineering and Professor of Electrical Engineering and Computer Science. He is also the Director of the University of Michigan Urban Collaboratory Initiative. Dr. Lynch completed his graduate studies at Stanford University where he received his Ph.D. in Civil and Environmental Engineering in 2002, M.S. in Civil and Environmental Engineering in 1998, and M.S. in Electrical Engineering in 2003. Prior to attending Stanford, Dr. Lynch received his B.E. in Civil and Environmental Engineering from the Cooper Union in New York City. He has co-authored one book and over 200 articles in peer reviewed journal and conferences. Dr. Lynch has been awarded the 2005 ONR Young Investigator Award, 2009 NSF CAREER Award, 2009 Presidential Early Career Award for Scientists and Engineers (PECASE), 2012 ASCE EMI Leonardo da Vinci Award and 2014 ASCE Huber Award.
Funders Who Support Our Research
LIST is supported by federal, state, foundation and industrial sources of support. Our work has been funded by the National Science Foundation (NSF), National Institute of Standards and Technology (NIST), Office of Naval Research (ONR), Michigan Department of Transportation (MDOT), United States Department of Transportation (USDOT), Federal Aviation Administration (FAA), and the Knights Foundation.