Research Overview Research Team Past Researchers 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 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 Current PhD Students MIN YOUNG HWANG Causal discovery and inference Root cause analysis and fault diagnosis HVAC systems on earth and ECLS systems in spaceResearch PosterVARUN KASIREDDY Automated bridge inspection frameworks Integrated information models for infrastructure Computer Vision (2D & 3D imaging) Virtual Reality Human Computer InteractionResearch PosterLinkedInRAGHURAM SUNNAM Interface of Building Information Modeling (BIM) and Building Energy Modeling (BEM) HVAC Sequence of Operations Representation HVAC Controls Diagnostics Building energy efficiency optimizations Measurement and verification + Monitoring based commissioning of Building systems Building envelope commissioningResearch PosterLinkedInELVIN VINDEL Demand flexibility Grid-interactive buildings HVAC modeling Building energyResearch PosterLinkedInYUJIE WEI Solving computer vision and machine learning research questions that arise from understanding visual data collected through reality capturing techniques. Long-term image-based localization and semantic understanding for dynamic construction scenes. Point cloud and image-based 3D semantic reconstruction for facility management.Research PosterLinkedInZHUORAN ZHANG Mitigate work zone crashes using causal inference methods based on Potential Outcome Framework and Directed Acyclic Graphs, such as Regression Discontinuity Design, sequential g-estimation methods, and linear non-gaussian acyclic model (LiNGAM).Research PosterLinkedIn(↑) Past Researchers Past Researchers PHD STUDENT RECENT APPOINTMENT RESEARCH PROJECT Jerry Lei Building Research Engineer at Pacific Northwest National Laboratory - PNNL Systematic Control Logic Fault Identification and Localization of Heating, Ventilation and Air Conditioning Systems Engin Burak Anil Manager at Toyota Research Institute Utilization of As-is Building Information Models Obtained from Laser Scan Data for Evaluation of Earthquake Damaged Reinforced Concrete Buildings, February 2015. Te Gao Senior Applied Science Manager at Amazon Framework for Collecting Data to Improve Construction Productivity, February 2014. Saurabh Taneja Senior Product Specialist II at SAP 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 Co-Founder and CTO at LeanFM Technologies 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 Assoc. Prof. at the University of Texas at Austin Computational Support for First Responders, 08/2009. Pingbo Tang Tenure-track Assoc. Prof. of Civil Engineering department at Carnegie Mellon Univeristy 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 Ergan 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 Associate Dean, School of Engineering at Southern Illinois University 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 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. (↑)