University of Texas at Austin

Cross-
Cutting
Research Area

Computational Engineering

Tackling grand challenge societal problems through modeling, simulation and engineering problem-solving

Computational engineers use computers and advanced computational methods to analyze and solve engineering problems.

Our research in computational engineering is advancing a broad range of fields including energy, environment, aerospace, biomedical and autonomous systems.

An Overview: Computational Engineering

What is Computational Engineering?

Credit: from the Cockrell School of Engineering

Examples of Oden Institute research in Computational Engineering

Research is multifaceted, ranging from foundational advances in theory, methods and algorithms, to real-world impact in societal grand challenge problems.

digital twin aircraft

Digital twins of engineering systems from aircraft to the near-earth orbital space environment

Spectral wave modeling

Spectral wave modeling: The interactions between winds, the sea floor, circulation, and waves transfer significant amounts of energy that impacts both magnitude and timing of storm surge. The modeling of these complex interactions and phenomena is challenging as the physics of waves in space and time are accompanied by spectral effects.

Compound Flooding Model Development

Compound Flooding Model Development

Working with partners

Oden Institute faculty members have been centrally involved in the design and offering of UT Austin’s Bachelor of Science in Computational Engineering degree, offered by the Department of Aerospace Engineering and Engineering Mechanics.

The ADvanced CIRculation modeling framework (ADCIRC) is a research partnership into coastal ocean storm surge modeling developed through collaboration between Dr. Clint Dawson at the Computational Hydraulics Group (CHG) and the University of Notre Dame, the University of North Carolina Chapel Hill, Carolina State University, the University of Oklahoma, and UT’s Center for Space Research. Other ADCIRC partners include US Army Corps of Engineers, NOAA, The Water Institute and the Texas Division of Emergency Management.

AEOLUS: Advances in Experimental Design, Optimization and Learning for Uncertain Complex Systems is a U.S. Department of Energy Mathematical Multifaceted Integrated Capabilities Center (MMICC) led by the Oden Institute and also involving researchers from Brookhaven National Laboratory, Massachusetts Institute of Technology, Oak Ridge National Laboratory and Texas A&M University.

The Oden Institute Center for Predictive Engineering and Computational Science is leading the development of high-fidelity simulations of inductively coupled plasma (ICP) torches as part of the Department of Energy’s National Nuclear Security Administration Predictive Science Academic Alliance Program.

News in brief

Pioneering Nanofluidics Research Earns UT Professor Narayana Aluru Prestigious Award

News

Dec. 3, 2025

Pioneering Nanofluidics Research Earns UT Professor Narayana Aluru Prestigious Award

The Society of Engineering Science (SES) awarded Narayana Aluru the A.C. Eringen Medal at the 2025 Annual SES Meeting in Atlanta on October 14, 2025, recognizing his contributions to nanofluidics and computational engineering.

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Merging AI, Storytelling and Community for a More Resilient Texas

Feature

Oct. 2, 2025

Merging AI, Storytelling and Community for a More Resilient Texas

UT Austin’s Planet Texas 2050 AIM project blends AI, scientific modeling, and community storytelling to create real-time, user-friendly tools that help Texas communities better prepare for and respond to disasters like flooding, hurricanes, and disease outbreaks.

 

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UT-Led Team is Finalist for 2025 Gordon Bell Prize for Digital Twin Tsunami Research

News

Aug. 22, 2025

UT-Led Team is Finalist for 2025 Gordon Bell Prize for Digital Twin Tsunami Research

The team overcame the massive scale and real-time demands of tsunami forecasting by creating new numerical methods and running them on GPU-accelerated supercomputers. The framework extends beyond tsunamis to other hazard forecasting (hurricanes, volcanoes) and applications in wave propagation, threat detection, and treaty verification.

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