Computing @ CEE

Our department leverages computational methods and tools in our research and integrates computing into the curriculum to provide students with a comprehensive education in this growingly technical world. 

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Curriculum

Our undergraduate and graduate programs emphasize hands-on experiences through real–world projects and industry partnerships. The computing integrated into the curriculum can be organized into the 5 strategic vision areas.

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Transport Service Systems

ENE300: Contaminant Transport in the Environment

    ENE512: Environmental Fluid Mechanics

      CE334L: Mechanical Behavior of Materials

      CE119: Probability Concepts and Civil Engineering

      Extreme Habitats

      ENE300: Contaminant Transport in the Environment

        ENE512: Environmental Fluid Mechanics

          CE334L: Mechanical Behavior of Materials

          CE119: Probability Concepts and Civil Engineering

          Environmental Stewardship

          ENE300: Contaminant Transport in the Environment

            ENE512: Environmental Fluid Mechanics

              CE334L: Mechanical Behavior of Materials

              CE119: Probability Concepts and Civil Engineering

              Disaster Resilience

              ENE300: Contaminant Transport in the Environment

                ENE512: Environmental Fluid Mechanics

                  CE334L: Mechanical Behavior of Materials

                  CE119: Probability Concepts and Civil Engineering

                  Urban Livability

                  ENE300: Contaminant Transport in the Environment

                    ENE512: Environmental Fluid Mechanics

                      CE334L: Mechanical Behavior of Materials

                      CE119: Probability Concepts and Civil Engineering

                        ENE300: Contaminant Transport in the Environment

                          ENE512: Environmental Fluid Mechanics

                            CE334L: Mechanical Behavior of Materials

                            CE119: Probability Concepts and Civil Engineering

                            RESEARCH

                            The faculty engage in highly interdisciplinary research leveraging computing to analyze problems and create solutions.
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                            Felipe de Barros

                            My group’s research leverages physics and data driven methods to predict the dynamics of fluid flow in porous media and solute transport processes.

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                            Adam Smith

                            My group’s research leverages bioinformatics tools to analyze DNA and RNA sequencing data from environmental samples.

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                            David Gerber

                            My work focuses on the development of intelligent design modeling and simulation methods and the development of digital twins to improve design and engineering phases of projects and eventually actual performance of built projects.
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                            Erik Johnson

                            My group’s research leverages machine learning to monitor structural health, develop models, and study dynamic systems. 

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                            Audrey Olivier

                            Use of Bayesian inference techniques to infer parameters in both physics-based and data-driven models.
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                            Burcin Becerik-Gerber

                            We use computing in various ways in our research to provide better engineering solutions.
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                            Kelly Sanders

                            Running regional climate models on HPC to gain insight into how local climate and air pollution is affected by scenario design
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                            Thomas Petersen

                            Phase separation of non-equilibrium thermodynamic systems are often solved using density-functional theory and phase-field equations that are phenomenological in nature, often suffering in predictive power when adjusting parameters to fit specific material systems.
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                            Berok Khoshnevis

                            Automation of construction using 3D printing involves motion control applicable to giant robots which have significant inertia as well as structural deflection.
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                            Roxana Javid

                            Developing statistical models to study the impacts of different transportation strategies including alternative fuel vehicles and high occupancy vehicle lanes on energy, economy, and emission. Using spatiotemporal data to evaluate the effectiveness of different regional sustainable transportation policies, at different levels of aggregation.
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                            Chukwuebuka C. Nweke

                            My research employs the use of regression analysis to develop and validate models focused on estimating site response in sedimentary basins and surrounding non-basin locations.
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                            Lucio Soibelman

                            A huge amount of information is generated for an infrastructure element/system during its lifecycle, from designs, specifications, plans, construction documents, process control plans, inventory management reports, cost estimates and control reports, schedules, and maintenance plans and records
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                            Ketan Savla

                            Algorithms for efficient and robust operation/planning of societal scale infrastructure (e.g., transport, energy) and autonomous systems, through a combination of tools from control and dynamical systems.
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                            Bora Gencturk

                            Data and computational methods are heavily used to study material and structural behavior.

                            Computing @ CEE

                            Our department leverages computational methods and tools in our research and integrates computing into the curriculum to provide students with a comprehensive education in this growingly technical world. 

                            Sign Up Now
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