Dynamic Project Management: Anthropocentricity

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 (shdpm@umich.edu). 


Recent News

  • 6, 2020: Journal paper by Jebelli, H., Seo, J., Hwang, S., and Lee, S.  on “Physiology-based Dynamic Muscle Fatigue Model for Upper Limbs during Construction Tasks.” was accepted by the International Journal of Industrial Ergonomics, Elsevier.
  • 6, 2020: Journal paper by Lee, G., Choi, B., Jebelli, H., Ahn, C., and Lee, S.  on “Noise Reference Signal-based Denoising Method for EDA Collected by a Multimodal Wearable Biosensor from Fields.” was accepted by the Journal of Computing in Civil Engineering, ASCE.
  • 5, 2020: Journal paper by Jafari, P., Mohamed, E., Lee, S., and AbouRizk, S.  on “Social Network Analysis of Change Management Process for Communication Assessment.” was accepted by Automation in Construction, Elsevier.
  • 5, 2020: A former visiting PhD student, Wenxin, will join Beijing Jiaotong University as a lecturer. Congratulations on her new career!
  • 5, 2020: Xinyao joined DPM Lab as an MSc student. Welcome, Xinyao!