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MTO Laboratory Manager
E-mail: tmorris@umn.edu
Phone: 612-626-8499
Ted Morris is an Information Systems Engineer in the Department of Civil Engineering and Manager of the Minnesota Traffic Observatory (MTO) at the University of Minnesota. He received his M.S. degree in Mechanical Engineering from the University of Minnesota in 1989, with an emphasis is Computer Aided Design and Controls. He was formerly the manager of the ITS Institute Laboratory.
Mr. Morris has extensive experience in the design, deployment, and maintenance of traffic information collection, archiving, and analysis systems. He developed his expertise both in the private sector, which he worked for 6 years, as well as in academia since 1997. As a manager of the MTO, Mr. Morris has led and coordinated the development of laboratory technologies; managed operations to support faculty, staff and students involved in transportation research and education; and worked with many university departments, the Minnesota Department of Transportation, and other public agencies on related activities. He was responsible for designing a robust network authentication framework to control and limit access to sensitive data and software systems for distance learning education and internally supported research projects, and was also instrumental in designing the communications and data processing system of a Freeway Detection and Surveillance System, which he has maintained for the last three years. He also developed and maintains the MTO laboratory archival system, which allowing easy retrieval of video and traffic measurements. Ted brings years of experience in developing virtual reality and related real-time computer graphics applications within the fields of occupational and work-place injury analysis, physical barrier-free environmental design, and traffic simulation visualization. He has developed customized GIS real-time mapping solutions and vehicle driver assist firmware using off-the-shelf GPS technologies instrumented in vehicles, as well as embedded control systems for automated driver assist systems in heavy trucks.