This video provides an additional overview of my work.

Civil infrastructure systems, such as buildings, pipelines, roadways, bridges and airports are the backbone of any nation. They directly impact the sustainability and safety of a country as well as the quality of life of its citizens. However, aging infrastructure systems are facing increasing demands due to urbanization, climate change, and their changing user profile. At the same time, these systems are required to operate with reduced resources. This combination of factors demands that civil engineers transform the way the we design, construct, and operate these systems by using objective information and assessment to enable proactive and data-driven decision-making. In my research, my team of researchers work to enable this transformation through supporting the decisions of engineers and managers during construction and infrastructure operations and management.

There is no doubt that engineers and managers involved in construction and facility/infrastructure operations need situational awareness about the as-is conditions when making daily decisions and developing short- and long-term plans. Yet, currently, data that is incorrectly formatted, inaccessible, or missing limits engineers’ situational awareness. Advances in reality capture technologies, such as 3D imaging, in-situ sensing, equipment on-board instrumentation and electronic tagging, streamline the capturing of the as-is conditions on job sites. The data collected from these technologies, integrated with building information models depicting the as-planned conditions, can help create and store the history of as-is conditions of a facility to support a variety of decisions that engineers and managers need to make. While the opportunities associated with integrating building information models and data capture technologies are compelling, several challenges persist for effective usage of these technologies. Our research addresses these challenges, which include: assessing the accuracy of the data collected at the field; developing and evaluating data processing and data fusion approaches; formalizing integrated representation of building information models and sensor and other relevant data; and investigating and developing approaches for analyzing and visualizing such integrated information models. This work ultimately intends to support proactive, well-informed decision-making by the engineers and managers that maintain our vital civil infrastructure systems.


Research Team

Raghuram Sunnam

Formalizing the Representation of HVAC Sequence of Operations for Automated Diagnosis of Control Problems.
Varun Kasireddy

New approaches towards bridge condition assessment that incorporates uncertainties that are inherent in the data collected from vision-based sensing systems, such as laser scanners and photo imaging devices that are either terrestrial or mounted on a low-flying autonomous vehicle.
Minkyung Kang

Electric load prediction baseline for airport buildings using a framework to support demand response programs, including novel methods for building energy prediction and decision support system for building system control.
Jerry Lei

Automatic control logic evaluation for HVAC systems. A computerized approach that comprehensively identifies control logic faults in HVAC systems using software verification techniques.
Miguel Mora

A maturity model scheme for the industrialization of housing construction processes. This scheme aims to be a guideline to support the implementation of an industrialization approach in a housing construction company.
Yasemin Hashemi

Utilizing novel sensing techniques and advanced statistical modeling to mitigate the environmental impacts of aging natural gas infrastructure and provide optimal strategies for health monitoring of the natural gas networks.


Past Researchers

Engin Burak Anil Lead Engineer at 3D Data Ltd. Utilization of As-is Building Information Models Obtained from Laser Scan Data for Evaluation of Earthquake Damaged Reinforced Concrete Buildings, February 2015.
Te Gao Research scientist at Amazon. Framework for Collecting Data to Improve Construction Productivity, February 2014.
Saurabh Taneja Product Specialist-Predictive Analytics Applications at SAP Labs LLC. A Framework for Fusing Sensing Data with Building Information: An Application for Indoor Localization, 05/2013.
Guzide Atasoy Tenure track Assist Prof. of Civil and Environmental Engineering at Middle East Technical University. A visualization framework for construction progress monitoring. 02/2013.
Pine Liu Asset Preservation Manager at The Facilities Management Division and Assistant Research Professor of Civil and Environmental Engineering at Carnegie Mellon University. Framework for Supporting Reconfigurable HVAC Systems, 09/2012.
Asli Akcamete Tenure track Assist. Prof. at the Civil Engineering department at Middle East Technical University, Ankara, Turkey. A formalism and a framework for updating building information models, 08/2011.
Fernanda Leite Tenure track Assist. Prof. at the University of Texas at Austin. Computational Support for First Responders, 08/2009.
Pingbo Tang Tenure-track Assist. Prof. of Civil Engineering department at Arizona State University. Extraction of Surveying Goals from Point Clouds Obtained from Laser Scanners to Support Bridge Inspection, 08/2009.
Anu Pradhan Senior machine learning and software engineer at Bloomberg. Formalization of multi-source data fusion to support construction productivity monitoring, 08/2009.
Semiha Kiziltas Tenure-track Assist Prof. at the Civil and Environmental Engineering department at New York University. Formalization of Creating a Method-Based Project History for Supporting Cost Estimating Decisions, 05/2008.
Chris Gordon Tenure track Assoc. Professor and Chair at the Civil Engineering department at Southern University of Illinois at Edwardsville. A Formalism and a Framework for Planning of Sensor-Based Inspections on Construction Sites, 12/2006.
Hongjun Wang Software Engineer at Google. Domain-Oriented Semi-Automated Model Matching for Supporting Building Commissioning-Related Data Exchange, 05/2006.
Frank Boukamp Senior Lecturer for Construction Management at Royal Melbourne Institute of Technology. Melbourne Area, Australia. Modeling of and Reasoning about Construction Specifications for Automated Defect Detection. 05/2006.
Kevin Tantisevi Tenure-track Assistant Professor of Civil Engineering at King Mongkut's University of Technology, North Bangkok. Formalization and Automation of Generation of Equipment Work Spaces on Construction Sites. 05/2006.
Esin Ergen Assoc. Professor at the Civil Engineering department at Istanbul Technical University, Istanbul, Turkey. Formalization of Life-Cycle Data Management of Pre-engineered Components using Advanced Tracking Technologies, 11/2005.
Jan Reinhardt The Founder and the Principal of ADEPT Project Delivery, LLC. Navigational Models For Effective And Efficient Interaction With Integrated Product And Process Models On Construction Sites, 12/2003.