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).
- 6, 2021: Journal paper by Lee, G., Choi, B., Jebelli, H, and Lee, S. on “Assessment of construction workers’ perceived risk using physiological data from wearable sensors: A machine learning approach” was accepted by the Journal of Building Engineering, Elsevier.
- 5, 2021: Prof. Lee was invited to talk about “Anthropocentric Robot Collaboration in Construction.” and to discuss construction robotics as a panelist at the Workshop on Future of Construction Robotics sponsored by NSF.
- 4, 2021: Journal paper by Seo, J. and Lee, S. on “Automated Postural Ergonomic Risk Assessment Using Vision-based Posture Classification.” was accepted by Automation in Construction, Elsevier.
- 3, 2021: Prof. Lee’s podcast about blockchain for the construction industry is released in Ripple’s All About Blockchain Podcast Series.
- 3, 2021: Journal paper by Lee, D., Lee, S., Masoud, N., Krishnan, M. S., and Li, V. on “Integrated Digital Twin and Blockchain Framework to Support Accountable Information Sharing in Construction Projects.” was accepted by Automation in Construction, Elsevier.