UT Austin — CS Research

Computer science research from UT Austin, including formal methods, machine learning, systems, and programming languages.

Sample of the collection (25 of 5,780 items)

• Learning Structure-exploiting Reduced Models with Operator Inference The University of Texas at Austin In silico experimentation is the way of the future: Computing enables engineering designers to explore new ideas beyond what is possible…
• Principles of Local and Global Grouping that Underlie Segmentation of Natural Texture Images The University of Texas at Austin Abstract The human visual system segments images using both high-level recognition mechanisms and low-level mechanisms that are largely…
• The Line Must Be Drawn Here: Impacts of Parameter Choice on Access Disadvantage Measures Willem Klumpenhouwer et al. Transportation equity researchers typically quantify either inequality (e.g., how equal are distributions between groups?) or…
• A Single-Chain Analog Backscatter Tag for Multi-Sensor Multiplexing National University of Singapore Many sensing tasks, such as plant stress sensing and blood pressure estimation, require co-located multi-modal measurements from two to…
• Efficient Reformulation of Linear and Nonlinear Solid-Phase Diffusion in Lithium-Ion Battery Models Using Symmetric Polynomials: Part II. Dimensional Form for Spherical, Cylindrical, and Rectangular Coordinates The University of Texas at Austin Abstract Solving the solid-state diffusion equation in a typical pseudo-two-dimensional (P2D) battery model using conventional finite…
• Automatic Mediation Analysis Under Measurement Error Via Bayesian Machine Learning The University of Texas at Austin This paper considers the problem of causal mediation analysis (CMA) when the outcome, mediator, or both are modeled as latent variables…
• Enhancing the antenna radiation-bandwidth product with dual-tone temporal modulation The Graduate Center, CUNY Electrically small antennas (ESA) are subject to fundamental bandwidth and radiation efficiency limitations due to their small size…
• Mapping fast tissue dynamics with long camera exposures via intensity modulation The University of Texas at Austin Measuring fast dynamic processes with dynamic light scattering over wide fields of view is critical for applications ranging from blood…
• Modified and Standard Touch Screen Technology to Help People with Intellectual and Developmental Disabilities Access Leisure Events and Complete Match-to-Sample Tasks: A Case Series Study Azienda Ospedaliera Ospedale Civile di Legnano While touch screen technology is largely available, people with intellectual and developmental disabilities might have difficulties…
• Open-Loop and Closed-Loop Low-Frequency Repetitive TMS Inhibits Motor Activation During Online BCI Control The University of Texas at Austin Maladaptive plasticity is a counterproductive neural reorganization in response to injury that hinders functional recovery. This may be…
• Automatic Calibration of Robotic 3D Printer Swarms for Cooperative 3D Printing University of Arkansas at Fayetteville Cooperative 3D printing (C3DP) is an additive manufacturing paradigm where a swarm of robotic 3D printers work cooperatively in a shared…
• Platformization of research data infrastructure: A decadal analysis of scientific data management plans The University of Texas at Austin New federal research policies support data-driven science by requiring data management planning and data preservation for open access to…
• Process‐Oriented Calibration of a Turbulence Scheme in the DOE's Global Storm‐Resolving Model Using Machine Learning Lawrence Livermore National Laboratory Abstract A process‐oriented calibration framework is developed for the Simplified Higher‐Order Closure (SHOC) turbulence scheme in DOE's…
• Single-Atom Supports: Versatile Platforms for Regulating Electrocatalysts at the Atomic Level University of Electronic Science and Technology of China Atomic-level control of metal–support interfaces is a key lever for electrocatalysis with low energy input, high selectivity, and…
• Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design The University of Texas at Austin Real-time tsunami early warning relies on distributed sensor networks to infer seismic sources and seafloor motion. Optimizing these…
• Uncertainty-Aware Web-Conditioned Scientific Fact-Checking The University of Texas at Austin Scientific fact-checking is vital for assessing claims in specialized domains such as biomedicine and materials science, yet existing…
• A full-resolution multiphysics model of the Molten Salt Reactor Experiment Texas A&M University The Molten Salt Reactor Experiment (MSRE), operated at Oak Ridge National Laboratory in the 1960s, was a pioneering effort to…
• Electron-phonon physics at the exascale: a hybrid MPI-GPU-OpenMP framework for scalable Wannier interpolation The University of Texas at Austin Abstract We demonstrate a highly efficient GPU implementation of the Wannier interpolation of electron-phonon matrix elements in the EPW…
• Are LLMs Good For Quantum Software, Architecture, and System Design? The University of Texas at Austin Quantum computers promise massive computational speedup for problems in many critical domains, such as physics, chemistry,…
• Data-Driven Yield Estimation and Maximization Using Bayesian Optimization Under Uncertainty Tokyo Electron (Japan) In this paper, we propose a novel method which utilizes samples of measured product quality characteristics to efficiently estimate the…
• Adaptive Governance for Health AI: A Policy and Regulatory Control Framework to Balance Innovation, Human Values, and Societal Well-Being University of Nottingham Rapid advancements of artificial intelligence (AI) call for a robust governance approach that keeps pace with technological progression…
• Learning Adaptive Parameter Policies for Nonlinear Bayesian Filtering University of West Bohemia in Pilsen Algorithms for Bayesian state estimation of nonlinear systems inevitably introduce approximation errors. These algorithms depend on…
• Machine Learning for Smarter Well Integrity Management The University of Texas at Austin Well integrity monitoring, especially annulus pressure surveillance, is essential for detecting abnormalities and maintaining safe…
• TransOpt: A Scalable Transistor-Level Placement and Routing Optimization Framework Beyond Standard Cells The University of Texas at Austin The standard-cell methodology has become the dominant paradigm in modern VLSI design due to its scalability and reusability. However,…
• Implicit neural representation for Magnetotelluric inversion  Central South University Magnetotelluric (MT) data inversion aims to recover subsurface resistivity model by minimizing an objective function, typically…

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