September 21-22, 2026

Texas Advanced Computing Center

Pickle Research Campus | Austin, TX

Speakers

Dr. Stefan Henneking

Oden Institute for Computational Engineering and Sciences
The University of Texas at Arlington

Forecasting Tsunamis: Real-Time Inference and Optimal Sensor Placement at Extreme Scale

Dr. Stefan Henneking is a Research Scientist at the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin. His research focuses on high-performance computing, scalable algorithms, and Bayesian inverse methods for complex scientific applications, including acoustic sensing, fiber optic modeling, and tsunami early warning. He is a recipient of the 2025 ACM Gordon Bell Prize.

Dr. Jeanne Kowalski-Muegge

The University of Texas Dell Medical School

Supercomputing Precision Medicine: Purpose-Built Infrastructure for Clinical AI

Jeanne Kowalski-Muegge, Ph.D. is Associate Director, Clinical AI for Precision Medicine and Professor, Department of Internal Medicine, Dell Medical School at The University of Texas at Austin. A leader in clinical AI and clinical cancer genomics, she advances their intersection to inform differential diagnosis and treatment strategies for complex care.

Dr. Jose Rizo-Rey

The University of Texas Southwestern Medical Center

The local detergent model of biological membrane fusion

Josep Rizo (Jose Rizo-Rey), Ph.D. is the Virginia Lazenby O'Hara Chair in Biochemistry and Professor of Biophysics at UT Southwestern Medical Center. His research uses structural biology and biophysical techniques to study the molecular mechanisms of neurotransmitter release and intracellular membrane fusion, advancing our understanding of how nerve cells communicate.

Dr. Dan Stanzione

Associate Vice President For Research, The University of Texas at Austin
Executive Director, Texas Advanced Computing Center

State of the Center Address

Dr. Dan Stanzione is a nationally recognized leader in the field of high performance computing who has made an impact in the open science community for more than 30 years.

He is Executive Director of the Texas Advanced Computing Center (TACC), one of the leading advanced academic computing centers in the world and holds the position of Associate Vice President for Research at The University of Texas at Austin.

Stanzione serves as the principal investigator (PI) for the U.S. National Science Foundation (NSF) Leadership Class Computing Facility (LCCF), which started construction in July 2024 and is expected to begin operations in 2026. The LCCF will deploy Horizon, which will be the largest academic supercomputer dedicated to open science research in the NSF portfolio.

Stanzione is also the PI for several current NSF-funded supercomputers including Frontera, the fastest supercomputer at a U.S. university, and Vista, an AI-centric system—all dedicated to open science research.

Stanzione received his bachelor’s degree in electrical engineering and his master's degree and doctorate in computer engineering from Clemson University.

Dr. Thomas Yankeelov

The University of Texas at Austin

High-performance computing to enable patient-specific digital twins in oncology

Tom Yankeelov is the W.A. “Tex” Moncrief Chair of Computational Oncology and Professor at The University of Texas at Austin. He directs the Center for Computational Oncology, where his research combines advanced medical imaging, patient-specific data, and computational modeling to improve cancer diagnosis, treatment, and patient outcomes.

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Tutorials

Building Interactive Scientific Dashboards in the Cloud with Plotly Dash

Presenter: Erik Ferlanti and James Labyer

In this workshop, we will dive into Plotly Dash, a powerful framework for building interactive web applications and dashboards in Python. We will learn how to create and customize Dash applications, and how to use them to visualize and explore scientific data in real-time. We will also learn how to deploy a Dash app into production on the Jetstream2 cloud.

Introduction to Horizon and CPU–GPU Architecture

Presenter: Dr. Lars Koesterke

The tutorial focuses on transformer-based neural operators, with Transolver and GeoTransolver as the worked examples. We will first build intuition for why transformers are useful beyond language: attention provides a way for distant points in a mesh or point cloud to exchange information, while physics-aware attention compresses large domains into a small set of learned physical states, making transformer models practical for large scientific datasets. We then connect these ideas to an end-to-end workflow using NVIDIA PhysicsNeMo on GPU/HPC systems: preparing simulation data, training, and validating a surrogate, interpreting accuracy, and using the trained model for rapid inference and downstream design studies.

This tutorial introduces Horizon, TACC’s latest high-performance computing system for open science, and uses it as a starting point for a broader discussion of modern HPC architecture.

If time permits, participants will have an opportunity to log in and explore a few short, practical exercises. For users who have not yet worked on Vista, this provides a useful bridge to Horizon, as the software environment, batch system, and basic workflow patterns are very similar.

Surrogate Modeling on TACC Systems

Presenter: Dr. Luke Smith

Surrogate modeling is a popular framework in which high-resolution simulation data is leveraged to build lean, inexpensive models for engineering and design workflows. This tutorial will guide attendees through the process of building a surrogate model from the output of a numerical simulation, with an emphasis on implementation strategies for TACC systems. As a driving example, we consider a dataset drawn from epidemiology, in which disease spread is predicted over time, and discuss options for storing data, leveraging existing neural network architectures, and making optimal use of TACC's GPU hardware. This tutorial is intended as a complement to ''Transformer-Based AI Surrogates for Scientific Simulations,'' with the aim of exploring additional resources available to TACC users.

Transformer-Based AI Surrogates for Scientific Simulations

Presenter: Dr. Karthik Mukundakrishnan

Scientific and engineering workflows often require hundreds or thousands of simulations for design exploration, uncertainty quantification, and optimization, but high-fidelity solvers can make that scale impractical. This hands-on tutorial introduces AI surrogate modeling as a practical way to learn fast approximations of simulation solution operators: mappings from geometry, boundary conditions, and operating parameters to full physical fields.

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Lightning Talks

1	A Data-Intensive Pipeline to Map the Human Brain Connections for Vision Science Gabriele Amorosino Department of Psychology and Department of Neuroscience, The University of Texas at Austin
2	Integrating MRI and Light Sheet Fluorescent Microscopy to Validate and Improve Imaging-based Tumor Modeling Aliya Anil Department of Biomedical Engineering, The University of Texas at Austin
3	Probing Cosmic Ray Ionization Rates in Star-Forming Clouds: Synthetic Observations with the STARFORGE Simulations Hsin-Pei Chen Department of Astronomy, The University of Texas at Austin
4	GPU-Accelerated Simulation of Wave–Debris–Structure Interactions: Debris Damming in Inland Coastal Forests During Tsunamis Youngchul Choi Maseeh Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin
5	Numerical Simulations of an Array of Offshore Turbines and its Effect on the Local Circulation Miguel Guzman-Hernandez Department of Mechanical Engineering, The University of Texas at Dallas
6	Bridging AI and Education: The Virtual Teaching Assistant Ayesha Khalid Department of Computer Science and Soules College of Business, The University of Texas at Tyler
7	A Scalable Machine Learning Workflow for Computing Higher-Order Force Constants with Automatic Differentiation Jaesuk Park Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin
8	Miniaturizing Heme Copper Oxidase with Generative Protein Design Lisa Phan Department of Chemistry, The University of Texas at Austin
9	Sparse Annotation is Suﬃcient for Bootstrapping Automatic Neuron Segmentation Vijay Venu Thiyagarajan Department of Neuroscience, The University of Texas at Austin

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Poster Presentations

1	CFD-Based Large Eddy Simulations of Plunging Flows in Alexandra Canyon, Fraser River: Insights into Bed Shear, Erosion, and Morphological Changes Using TACC Resources Jayanga Samarasinghe and Laura Alvarez Environmental Science and Engineering Program, The University of Texas at El Paso 2Department of Environmental and Resource Sciences, The University of Texas at El Paso
2	ClaimCheck: Real-Time Fact-Checking with Small Language Models Akshith Reddy Putta, Jacob Devasier, and Chengkai Li Department of Computer Science and Engineering, The University of Texas at Arlington
3	Miniaturizing Heme Copper Oxidase with Generative Protein Design Lisa Phan, Barshali Ghosh, and Yi Lu Department of Chemistry, The University of Texas at Austin
4	Novel Feature Extraction from Ambulatory Blood Pressure Data Roberto Arias, Kristina Vatcheva, Vesselin Vatchev, and Gladys Maestre Department of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley Department of Medicine, The University of Texas Rio Grande Valley
5	Decadal Monitoring of Colonias Using Remote Sensing and Machine Learning Yiming Zhang, Bridget Scanlon, Jon Paul Pierre, Brent Porter, Hassan Dashtian, and Manmeet Singh Jackson School of Geosciences, The University of Texas at Austin Indian Institute of Tropical Meteorology, Ministry of Earth Sciences
6	Withdrawn
7	Lightweight Adaptive Sampling for Scalable Anomaly Detection in HPC Systems: Insights from Scientific Workloads at TACC Vijayalakshmi Saravanan, Saikarthik Navuluru, Seetharam Rao Vanam, Khaled Z. Ibrahim, and Lakshman Tamil Department of Electrical and Computer Engineering, The University of Texas at Tyler Department of Electrical and Computer Engineering, The University of Texas at Dallas Lawrence Berkeley National Laboratory
8	Mechanism of SNARE-Mediated Membrane Fusion Aleksandra Wosztyl and Josep Rizo Department of Biophysics, The University of Texas Southwestern Medical Center Department of Pharmacology, University of Texas Southwestern Medical Center
9	Withdrawn
10	Recycling Spent Nuclear Fuel in a Molten Salt Reactor: Simulating Online Refueling and Tracking Waste Transmutation Bradley Gladden and Derek Haas Walker Department of Mechanical Engineering, The University of Texas at Austin
11	Balancing Accuracy and Urgency for Real-time Epidemic Response: How Many Stochastic Simulations is Enough? Emily Javan and William J. Allen Texas Advanced Computing Center, The University of Texas at Austin
12	Probing Cosmic Ray Ionization Rates in Star-Forming Clouds: Synthetic Observations with the STARFORGE Simulations Hsin-Pei Chen and Stella Offner Department of Astronomy, The University of Texas at Austin Oden Institute, The University of Texas at Austin NSF-Simons CosmicAI Institute, The University of Texas at Austin
13	Bridging AI and Education: The Virtual Teaching Assistant Ayesha Khalid, Sagnik Dakshit, and Kouider Mokhtari Department of Computer Science, Soules College of Business, The University of Texas at Tyler College of Education and Psychology, The University of Texas at Tyler
14	Adaptive Dialogue Based Simulation in Medical Learning Akilan Amithasagaran, Sagnik Dakshit, Bhavani Suryadevara, and Lindsey Stockton Department of Computer Science, The University of Texas at Tyler 2Department of Gen Int Med/Hosp - MSA, UT Health Science Center at Tyler
15	Symmetry-protected Topological Polarons Kaifa Luo, Feliciano Giustino, and Jon Lafuente-Bartolome Department of Physics, The University of Texas at Austin Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin Department of Physics, University of the Basque Country UPV/EHU
16	Strengthening Teacher Efficacy in Computer Science Education Through Hands-On Coding Chanel Belvin, Elaine Anita De Melo Gomes Soares, Toni Dunlap, and James Newland Texas Advanced Computing Center, The University of Texas at Austin
17	Integrating MRI and Light Sheet Fluorescent Microscopy to Validate and Improve Imaging-based Tumor Modeling Aliya Anil, Indranil Guha, David A. Hormuth II, Ayesha Das, Deborah Healey, Puneet Kumar, Ernesto A. B. F. Lima, C. Chad Quarles, and Thomas E. Yankeelov Department of Biomedical Engineering, The University of Texas at Austin Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin Livestrong Cancer Institutes, The University of Texas at Austin Texas Advanced Computing Center, The University of Texas at Austin Department of Imaging Physics, The University of Texas MD Anderson Cancer Center Department of Diagnostic Medicine, The University of Texas at Austin
18	GPU-Accelerated Simulation of Wave–Debris–Structure Interactions: Debris Damming in Inland Coastal Forests During Tsunamis Youngchul Choi, Jun-Whan Lee, Justin Bonus, and Che-Wei Chang Maseeh Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin Department of Civil and Environmental Engineering, University of California, Berkeley Department of Ocean Engineering, University of Rhode Island
19	Deep Learning-based Whole Corn Ear Phenotyping with 3-D Ear Surface Imaging Mike Tran, Haibo Yao, and Chengkai Li Department of Computer Science and Engineering, The University of Texas at Arlington Agricultural Research Service, United States Department of Agriculture
20	Withdrawn
21	Evaluating Open Source LLMs for Claim Detection in Fact-Checking Akshay Kumar Rayapet Madhusudhan, Haiqi Zhang, Zhengyuan Zhu, Zeyu Zhang, Jacob Devasier, and Chengkai Li Department of Computer Science and Engineering, The University of Texas at Arlington
22	Machine-Learning-Driven Discovery of Rare-Earth-Free Permanent Magnets Timothy Liao, Zhao Tang, Qi Zhang, Masahiro Sakurai, James Chelikowsky, Weiyi Xia, Renhai Wang, Chao Zhang, Huaijun Sun, Cai-Zhuang Wang, Kai-Ming Ho, Balamurugan Balasubramanian, and David J. Sellmyer Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin Iowa State University and Ames National Laboratory University of Nebraska, Lincoln
23	Tricuspid Valve Transcatheter Edge-to-Edge Repair Simulations Predict Kinematic Alterations Collin Haese, Vijay Dubey, and Manuel K. Rausch Department of Mechanical Engineering, The University of Texas at Austin Department of Aerospace Engineering & Engineering Mechanics, The University of Texas at Austin Department of Biomedical Engineering, The University of Texas at Austin Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin
24	GPR174 Antagonism: Structure Function and Dynamics Vijay Kumar Bhardwaj and Alemayehu Gorfe Department of Integrative Biology and Pharmacology, The University of Texas Health Sciences Center at Houston, 2Molecular and Translational Biology & Therapeutics and Pharmacology Programs, UTHealth MD Anderson Cancer Center Graduate School of Biomedical Sciences
25	Surrogate Modeling of Cell Dynamics in Agent-Based Models Using Transformers and PINNs An X. Vo, Jonathan I. Tamir, Thomas E. Yankeelov, and Ernesto A. B. F. Lima Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin Department of Electrical and Computer Engineering, The University of Texas at Austin Department of Biomedical Engineering, The University of Texas at Austin Department of Diagnostic Medicine, The University of Texas at Austin Livestrong Cancer Institutes, The University of Texas at Austin Texas Advanced Computing Center, The University of Texas at Austin Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center
26	Numerical Simulations of an Array of Offshore Turbines and its Effect on the Local Circulation Miguel A. Guzmán-Hernández, Davis B. Archer, Umberto Ciri, Kianoosh Yousefi, and Stefano Leonardi Department of Mechanical Engineering, The University of Texas at Dallas Department of Mechanical Engineering, University of Puerto Rico at Mayaguez
27	A Data-Intensive Pipeline to Map the Human Brain Connections for Vision Science Gabriele Amorosino, Junbeom Kwon, Bradley Caron, and Franco Pestilli Department of Psychology and Department of Neuroscience, The University of Texas at Austin
28	From Petaflops to Fingertips: Interactive Spatial and Temporal Visualizations for the TACC Visitor Center Jared Galindo Hernandez, Dave Semeraro, and Greg Abram Department of Physics, The University of Texas at Austin Scalable Visualization Technologies, Texas Advanced Computing Center, The University of Texas at Austin
29	Aim4Active: Generating Theory-Driven Motivational Messages to Encourage Physical Activity Jack Pankaj and Chengkai Li Department of Computer Science and Engineering, The University of Texas at Arlington
30	A Scalable Machine Learning Workflow for Computing Higher-Order Force Constants with Automatic Differentiation Jaesuk Park and Feliciano Giustino Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin Department of Physics, The University of Texas at Austin
31	HAFed: Improving Generalization with Harmony-Based Parameter Aggregation in Federated Learning Angel Peredo and Sergei Chuprov Department of Computer Science, The University of Texas Rio Grande Valley
32	Bayesian Optimization of PID Coefficients for Robust Federated Learning Ei Ei Nyein Chan and Sergei Chuprov Department of Computer Science, The University of Texas Rio Grande Valley
33	Secure Federated Learning via Bayesian PID Control and Integrated Attack Detection Adrian Peña and Sergei Chuprov Department of Computer Science, The University of Texas Rio Grande Valley
34	Investigating Deep Learning Architectures for Trustworthy Multimodal Autism Diagnosis Asmitha Dhamodharan and Yunhe Feng Department of Computer Science and Engineering, University of North Texas
35	Ensemble-based Interpretation of Inter-well Tracer Tests for Residual Oil Saturation Estimation Using ESMDA and Fourier Neural Operators Zihao Zhao, Y. Ou, C. Jia, R. Li, and Kishore Mohanty Hildebrand Department of Petroleum and Geosystems Engineering, The University of Texas at Austin King Abdullah University of Science and Technology
36	Investigating the Role of Small RNAs in Drought, Heat, and Combined Stress in Sorghum bicolor Javier Ramos, Lorena Martínez, Nabanita Chattopadhyay, Baibhav Kumar, and Manohar Chakrabarti School of Integrative Biological and Chemical Sciences, The University of Texas Rio Grande Valley
37	LLM-Guided Hypothesis Generation from Temporally Evolving Patent Graphs Alankrit Moses Department of Computer Science and Engineering, The University of Texas at Arlington
38	Pore-Scale Modeling of Wettability Alteration Induced by Low Salinity Water in Carbonates: A Physically Scalable Approach Ruoyu Li, Kishore Mohanty, and Qinjun Kang Department of Petroleum and Geosystems Engineering, The University of Texas at Austin 2Los Alamos National Laboratory
39	Tissue Data Explorer: A Website Template for Presenting Tissue Sample Research Findings James Labyer, Erik Ferlanti, Martha Campbell-Thompson, Clayton E. Mathews, Wei-Jun Qian, and James P. Carson Texas Advanced Computing Center, The University of Texas at Austin Department of Pathology, Immunology and Laboratory Medicine, University of Florida Biological Sciences Division, Pacific Northwest National Laboratory
40	Sparse Annotation is Suﬃcient for Bootstrapping Automatic Neuron Segmentation Vijay Venu Thiyagarajan, Arlo Sheridan, Kristen M. Harris, and Uri Manor Department of Neuroscience, Center for Learning and Memory, The University of Texas at Austin Waitt Advanced Biophotonics Center, Salk Institute for Biological Studies Department of Cell & Developmental Biology, School of Biological Sciences, University of California, San Diego Halıcıoğlu Data Science Institute, University of California, San Diego
41	Designing Spike-Compatible Neural Networks for Low-Latency Inference on HPC Platforms Md Asiful Hoque Prodhan and Sushil Prasad Department of Computer Science, The University of Texas at San Antonio
42	Computational Design of Chelation Strategies for Radiopharmaceutical Applications Beibei Huang, Tran Ha Hoai Ngan, Zhiwen Liu, Shilpa Sharma, Coll Ryan Patrick, William Schuler, Ta Robert T, Jianbo Wang, Dimitra K. Georgiou, and H. Charles Manning Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center Cyclotron Radiochemistry Facility, The University of Texas MD Anderson Cancer Center Theranostics Drug Discovery Platform, RADIATE, Therapeutics Discovery Division, The University of Texas MD Anderson Cancer Center
43	GeneSieve: A Knowledge Network Interface for Gene Discovery Across Diverse Crop Species Pranav Umakant Pujar, Yen Duyen Le, Chengkai Li, Justin Vaughn, and Brian Abernathy Department of Computer Science and Engineering, The University of Texas at Arlington US Department. of Agriculture 3Department of Computer Science and Engineering, The University of Georgia, Athens
44	Shared Rank-One Matrix Pool for Multi-Task and Input-Specific Parameter-Efficient Fine-Tuning Amin Ghasemi Department of Computer Science, The University of Texas at Arlington
45	GraphNarrative + Orion: Graph-to-text models in Interactive Knowledge Graph Query Formulation Qing Wang, Abhishek Divakar Goudar, Xiao Shi, Zhengyuan Zhu, Zeyu Zhang, Nandish Jayaram, Samiul Saeef, Farahnaz Akrami, and Chengkai Li Department of Computer Science, The University of Texas at Arlington
46	Prevalence and Parenting: Family Practices and Adolescent Mental Health in the U.S (NSCH 2018-2023) Aleena Tomy Department of Computer Science, Texas State University

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September 21-22, 2026

Texas Advanced Computing Center

Pickle Research Campus | Austin, TX

Speakers

Dr. Stefan Henneking

Oden Institute for Computational Engineering and Sciences The University of Texas at Arlington

Dr. Jeanne Kowalski-Muegge

The University of Texas Dell Medical School

Dr. Jose Rizo-Rey

The University of Texas Southwestern Medical Center

Dr. Dan Stanzione

Associate Vice President For Research, The University of Texas at Austin Executive Director, Texas Advanced Computing Center

Dr. Thomas Yankeelov

The University of Texas at Austin

Tutorials

Building Interactive Scientific Dashboards in the Cloud with Plotly Dash

Presenter: Erik Ferlanti and James Labyer

Introduction to Horizon and CPU–GPU Architecture

Presenter: Dr. Lars Koesterke

Surrogate Modeling on TACC Systems

Presenter: Dr. Luke Smith

Transformer-Based AI Surrogates for Scientific Simulations

Presenter: Dr. Karthik Mukundakrishnan

Lightning Talks

A Data-Intensive Pipeline to Map the Human Brain Connections for Vision Science

Integrating MRI and Light Sheet Fluorescent Microscopy to Validate and Improve Imaging-based Tumor Modeling

Probing Cosmic Ray Ionization Rates in Star-Forming Clouds: Synthetic Observations with the STARFORGE Simulations

GPU-Accelerated Simulation of Wave–Debris–Structure Interactions: Debris Damming in Inland Coastal Forests During Tsunamis

Numerical Simulations of an Array of Offshore Turbines and its Effect on the Local Circulation

Bridging AI and Education: The Virtual Teaching Assistant

A Scalable Machine Learning Workflow for Computing Higher-Order Force Constants with Automatic Differentiation

Miniaturizing Heme Copper Oxidase with Generative Protein Design

Sparse Annotation is Suﬃcient for Bootstrapping Automatic Neuron Segmentation

Poster Presentations

CFD-Based Large Eddy Simulations of Plunging Flows in Alexandra Canyon, Fraser River: Insights into Bed Shear, Erosion, and Morphological Changes Using TACC Resources

ClaimCheck: Real-Time Fact-Checking with Small Language Models

Miniaturizing Heme Copper Oxidase with Generative Protein Design

Novel Feature Extraction from Ambulatory Blood Pressure Data

Decadal Monitoring of Colonias Using Remote Sensing and Machine Learning

Withdrawn

Lightweight Adaptive Sampling for Scalable Anomaly Detection in HPC Systems: Insights from Scientific Workloads at TACC

Mechanism of SNARE-Mediated Membrane Fusion

Withdrawn

Recycling Spent Nuclear Fuel in a Molten Salt Reactor: Simulating Online Refueling and Tracking Waste Transmutation

Balancing Accuracy and Urgency for Real-time Epidemic Response: How Many Stochastic Simulations is Enough?

Probing Cosmic Ray Ionization Rates in Star-Forming Clouds: Synthetic Observations with the STARFORGE Simulations

Bridging AI and Education: The Virtual Teaching Assistant

Adaptive Dialogue Based Simulation in Medical Learning

Symmetry-protected Topological Polarons

Strengthening Teacher Efficacy in Computer Science Education Through Hands-On Coding

Integrating MRI and Light Sheet Fluorescent Microscopy to Validate and Improve Imaging-based Tumor Modeling

GPU-Accelerated Simulation of Wave–Debris–Structure Interactions: Debris Damming in Inland Coastal Forests During Tsunamis

Deep Learning-based Whole Corn Ear Phenotyping with 3-D Ear Surface Imaging

Withdrawn

Evaluating Open Source LLMs for Claim Detection in Fact-Checking

Machine-Learning-Driven Discovery of Rare-Earth-Free Permanent Magnets

Tricuspid Valve Transcatheter Edge-to-Edge Repair Simulations Predict Kinematic Alterations

GPR174 Antagonism: Structure Function and Dynamics

Surrogate Modeling of Cell Dynamics in Agent-Based Models Using Transformers and PINNs

Numerical Simulations of an Array of Offshore Turbines and its Effect on the Local Circulation

A Data-Intensive Pipeline to Map the Human Brain Connections for Vision Science

From Petaflops to Fingertips: Interactive Spatial and Temporal Visualizations for the TACC Visitor Center

Aim4Active: Generating Theory-Driven Motivational Messages to Encourage Physical Activity

A Scalable Machine Learning Workflow for Computing Higher-Order Force Constants with Automatic Differentiation

HAFed: Improving Generalization with Harmony-Based Parameter Aggregation in Federated Learning

Bayesian Optimization of PID Coefficients for Robust Federated Learning

Secure Federated Learning via Bayesian PID Control and Integrated Attack Detection

Investigating Deep Learning Architectures for Trustworthy Multimodal Autism Diagnosis

Ensemble-based Interpretation of Inter-well Tracer Tests for Residual Oil Saturation Estimation Using ESMDA and Fourier Neural Operators

Investigating the Role of Small RNAs in Drought, Heat, and Combined Stress in Sorghum bicolor

LLM-Guided Hypothesis Generation from Temporally Evolving Patent Graphs

Pore-Scale Modeling of Wettability Alteration Induced by Low Salinity Water in Carbonates: A Physically Scalable Approach

Tissue Data Explorer: A Website Template for Presenting Tissue Sample Research Findings

Sparse Annotation is Suﬃcient for Bootstrapping Automatic Neuron Segmentation

Designing Spike-Compatible Neural Networks for Low-Latency Inference on HPC Platforms

Computational Design of Chelation Strategies for Radiopharmaceutical Applications

GeneSieve: A Knowledge Network Interface for Gene Discovery Across Diverse Crop Species

Shared Rank-One Matrix Pool for Multi-Task and Input-Specific Parameter-Efficient Fine-Tuning

GraphNarrative + Orion: Graph-to-text models in Interactive Knowledge Graph Query Formulation

Prevalence and Parenting: Family Practices and Adolescent Mental Health in the U.S (NSCH 2018-2023)

Oden Institute for Computational Engineering and Sciences
The University of Texas at Arlington

Associate Vice President For Research, The University of Texas at Austin
Executive Director, Texas Advanced Computing Center