The Dynamic Project Management (DPM) Laboratory at the University of Michigan pursues anthropocentric construction and infrastructure management. Specifically, DPM aims to understand and manage human-centric construction dynamics and human-infrastructure interface through sensing, data analytics and computer simulation. DPM is interested in achieving the maximum benefit from technologies like wearables, automation, and robotics for humans in construction and infrastructure. DPM also applies these technologies to direct smart and connected communities and cities toward social equality.
DPM’s research has been supported by diverse sponsors in different countries. For example, DPM has received numerous grants from federal (e.g., NSF in the US, NSERC and SSHRC in Canada, and KAIA in Korea) and state agencies (e.g., MEDC). At the same time, DPM’s research has been strongly supported by industry partners including TOYOTA, Liberty Mutual Group, Construction Industry Institute, Barton Malow, Turner, Skanska, Shade, Dee Cramer, Granger Construction, Toebe Construction, etc. Such diverse sponsorships allow DPM to pursue fundamental research on basic science and engineering, which can be widely applied to real world problems, thereby achieving balanced contributions to theories and practices. DPM also strongly pursues entrepreneurship. A spin-off company from DPM is very active in commercialization.
Below is our recent project video, which aims to improve older adults’ mobility with wearable biosensors.
If you have an interest in working with DPM, please contact Director, Prof. SangHyun Lee, at (email@example.com).
- 3, 2020: Meiyin will join the Department of Civil and Environmental Engineering at Rutgers University as an Assistant Professor from August 2020. Best of luck on her new career!
- 3, 2020: The UM Center for Low Carbon Built Environment (link) where DPM serves as a key member has been launched.
- 2, 2020: Gaang has been selected to receive the Creativeness of Ergonomics Student of the Year Award at the 23rd Applied Ergonomics Conferences. Congrats!
- 1, 2020: Neil joined Epic Systems and started his new career. Wish the best of luck, Neil!
- 1, 2020: Journal paper by Kim, D., Lee, S., and Kamat, V. on “ Proximity Prediction of Mobile Objects to Prevent Contact-Driven Accidents in Co-Robotic Construction.” was accepted by the Journal of Computing in Civil Engineering, ASCE.