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 are our recent projects’ videos, which aim to improve (1) older adults’ mobility and (2) construction workers’ safety, with wearable biosensors.
If you have an interest in working with DPM, please contact Director, Prof. SangHyun Lee, at (email@example.com).
- 9, 2020: DPM’s research to improve construction workers’ safety with wearable biosensors has been highlighted at Michigan Engineering with video.
- 9, 2020: Dr. Jinwoo Kim joined DPM as a postdoctoral research fellow. Welcome, Jinwoo!
- 9, 2020: Daeho received the MICDE (Michigan Institute for Computational Discovery and Engineering) fellowship for his research on conclusive, predictive, and scalable robotic hazard detection using deep neural networks and synthetic training data. Congrats, Daeho!
- 8, 2020: Francis Baek joined DPM Lab. as a PhD student and received the Rackham Merit Fellowship. Welcome, Francis!
- 8, 2020: Juhyeon Bae joined DPM Lab. as a PhD student and received the Tishman PhD Scholarship. Welcome, Juhyeon!