The Dynamic Project Management (DPM) Group at the University of Michigan aims to understand and manage construction dynamics and human-infrastructure interface through sensing, data analytics and computer simulation. Particularly, 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, CII, 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.
If you have an interest in working with DPM, please contact Director, Prof. SangHyun Lee, at (firstname.lastname@example.org).
- 10, 2018: Prof. Lee interviewed with Dallas Business Journal about construction safety.
- 10, 2018: Sehwan received MICDE (Michigan Institute for Computational Discovery and Engineering) fellowship for his research on wearable-based human robot collaboration. Congrats, Sehwan!
- 10, 2018: Houtan received the Charles M. Eastman Top PhD Paper Award from the 35th CIB W78 Conference: IT in Design, Construction, and Management, held at Chicago, US, for his paper entitled “Mobile EEG-based Workers’ Stress Recognition by Applying Deep Neural Network”. Congrats, Houtan!
- 9, 2018: Journal paper by Jebelli, H., Khalili, M., and Lee, S. on “A Continuously Updated, Computationally Efficient Stress Recognition Framework Using Electroencephalogram (EEG) by Applying Online Multi-Trask Learning Algorithms (OMTL)” was accepted by the Journal of Biomedical and Health Informatics, IEEE.
- 9, 2018: Journal paper by You, S., Kim, J., Lee, S., Kamat, V., and Robert, L. on “Enhancing Perceived Safety in Human–Robot Collaborative Construction Using Immersive Virtual Environments” was accepted by Automation in Construction, Elsevier.
- 9, 2018: Zuguang Liu from Tsinghua University, China, joined DPM as a Visiting Scholar. Welcome, Zuguang!
- 9, 2018: Prof. Lee talked with Michigan News about a potential of wearables for construction safety.
- 9, 2018: Dr. Kwangbok Jeong joined DPM as a Post-Doctoral Research Fellow. Welcome, Dr. Jeong!
- 8, 2018: DPM’s research on wearables for construction safety has been featured at Michigan Engineering and other media.