Mobile Matters

Your source for mobile development for and about The University of Arizona

Keynote Speaker

Daniel B. Work is an Assistant Professor at the University of Illinois at Urbana-Champaign. His research interests include control, estimation, and optimization of cyber physical systems, mobile sensing, and inverse modeling and data assimilation, applied to problems in civil and environmental engineering. Dr. Work currently leads a research group working on problems with the cyber physical nature of current and future transportation systems. They focus on developing new mathematical models of traffic, sensing paradigms to monitor human mobility, and estimation algorithms to fuse together the models and data. Their smartphone application TrafficTurk was launched in October of 2012 to monitor traffic during extreme congestion events. It was deployed to measure traffic at more than 100 intersections during the University of Illinois Homecoming football game, temporarily transforming the Urbana-Champaign area into a densely monitored transportation network. Experiments have since continued to collect data throughout a natural disaster (Hurricane Sandy, NY) and The Farm Progress Show of Decatur, IL, which is the nation’s largest outdoor farm show.  TrafficTurk’s research and development are intended to make an easily deployable and flexible temporary traffic sensing system. Take a look here: http://trafficturk.com/

As a faculty member within the Department of Civil and Environmental Engineering and the Coordinated Science Laboratory, Daniel teaches courses in transportation engineering and systems engineering. He earned his Bachelor of Science degree (2006) from the Ohio State University, and a Master of Science (2007) and Ph.D. (2010) from the University of California, Berkeley, each in civil engineering. His awards and honors include receiving the Dwight David Eisenhower Transportation Fellowship from the U.S. Department of Transportation in 2008 and an Eno Fellowship from the Eno Transportation Foundation in 2010, and the 2011 IEEE Intelligent Transportation Systems Society Best Dissertation Award.