Events Calendar

The Role of Data Management and Data Mining in Infrastructure Management

Abstract: It is certainly no surprise that construction and operations of infrastructure systems require a huge amount of information from specifications, plans, construction documents, inventory management, cost estimating, and scheduling, for the construction phase and maintenance records, and inspections and
sensor data from the operations phase. As this industry adopts new computer technologies, computerized construction/operations data are becoming more and more available. There exist numerous opportunities to exploit and extract knowledge from the vast amount of infrastructure data.

Unlike much previous research in Knowledge Discovery in Databases (KDD) that has been successfully applied in several domains, in the infrastructure domain, however, the data are of multiple types and from many different sources, some with very low quality. Professor Soibelman will be introducing the
results obtained from several data centric studies developed by his research team at the CMU Advanced Infrastructure Systems group.


Biography: Professor Soibelman obtained his Bachelor and Masters Degrees from the Civil Engineering Department of the Universidade Federal do Rio Grande do Sul, Brazil. He worked as a construction manager for 10 years before moving in 1993 to the US where he obtained in 1998 his PhD in Civil Engineering Systems
from the Civil and Environmental Engineering Department at the Massachusetts Institute of Technology (MIT). In 1998 he started as an Assistant Professor at the University of Illinois at Urbana Champaign. In 2004 he moved as an Associate Professor to the Civil and Environmental Engineering Department at Carnegie Mellon University (CMU) and in 2008 he was promoted at CMU to Professor. During the last 12 years he focused his research on advanced data acquisition, management, visualization, and mining for construction and operations of advanced infrastructure systems. He published over 100 books, books chapters, journal papers, conference articles, and reports and performed research with funding from NSF (NSF career award and several other NSF grants), NASA, DOE, IBM, Bosch, IDOT, RedZone Robotics, US Army, and NIST among many others funding agencies. His areas of interest are: Use of information technology for economic development, information technology support for construction management,process integration during the development of large‐scale engineering systems, information logistics, artificial intelligence, data mining, knowledge discovery, image reasoning, text mining, machine learning, advanced infrastructure systems, sensors, streaming data, data driven sustainability, and Multireasoning Mechanisms. He is the current Editor in‐chief of the American Society of Civil Engineers (ASCE) Journal of Computing in Civil Engineering and the past chair of the ASCE Construction Institute Construction Research Council.

Location: Kaprielian Hall (KAP) - 209 Conference Room

Audiences: Everyone Is Invited

Contact: Evangeline Reyes