September 23-24, 2025

Texas Advanced Computing Center

Pickle Research Campus | Austin, TX

Speakers

Dr. Chengkai Li

Professor, Department of Computer Science and Engineering
The University of Texas at Arlington

From Fact-Checking to Climate Action: GPU-Accelerated Data Science for Social Good

Dr. Chengkai Li is a Professor and Associate Chair in the Department of Computer Science and Engineering at the University of Texas at Arlington. He is Director of the Innovative Database and Information Systems Research Laboratory (IDIR) and Co-Director of the Center for Artificial Intelligence and Big Data (CARIDA). He also holds an affiliate faculty appointment with the Center for Innovation in Health Informatics (CIHI).

Dr. Li received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2007, and his M.E. and B.S. degrees in Computer Science from Nanjing University in 2000 and 1997, respectively.

His research interests lie at the intersection of data management, natural language processing, machine learning, and data mining, with applications in computational journalism, smart agriculture, health informatics, and transportation systems. His current work addresses challenges in data-driven fact-checking and web credibility, knowledge graph construction and usability, motivational message generation, and social sensing.

Dr. Soumya Mohanty

Professor, Department of Physics and Astronomy
The University of Texas at Rio Grande Valley

Computational and Statistical Challenges in Gravitational Wave Astronomy

Dr. Mohanty is a Professor in the Department of Physics and Astronomy at the University of Texas Rio Grande Valley (UTRGV). He serves as the Principal Investigator of UTRGV’s South Texas AI Research, Training, and Education Resources (STARTER) project—an ambitious initiative designed to build a robust foundation for AI-driven research and education. Through this program, Dr. Mohanty is advancing faculty and student expertise in AI technologies and empowering them to lead independent, innovative AI projects.

He earned his Ph.D. in Physics from the Inter-University Centre for Astronomy and Astrophysics in 1997, following an M.Sc. and B.Sc. in Physics from Delhi University in 1993 and 1991, respectively.

A leader in gravitational wave (GW) astronomy, Dr. Mohanty developed a regularized coherent network analysis method, a key component of the data analysis pipeline that enabled the first-ever detection of gravitational waves. His contributions also extend to Gamma Ray Burst (GRB)–triggered analyses, and he has been a pioneer in introducing Swarm Intelligence techniques to GW data analysis—an innovation that has recently spurred advances in statistical methodologies.

Dr. Vagheesh M. Narasimhan

Assistant Professor, Department of Integrative Biology, Department of Statistics and Data Science
The University of Texas at Austin

Understanding the Past 10,000 Years of Human Prehistory through the lens of Ancient DNA

Dr. Narasimhan joined The University of Texas at Austin as an Assistant Professor in the Departments of Integrative Biology, Statistics and Data Sciences and Population Health in Fall 2020. He is the PI of the Narasinham Lab, an inter-disciplinary research group at the interface of AI and Genomics in the Department of Integrative Biology and the Department of Statistics and Data Science in the College of Natural Sciences at The University of Texas at Austin as well as the Health Informatics and Data Sciences Division in the Department of Population Health at Dell Medical School.

He received his Ph.D. in Mathematical Genomics and Medicine from the University of Cambridge and the Wellcome Trust Sanger Institute and later completed a post-doctoral research fellowship at the Department of Genetics, Harvard Medical School.

Dr. Narasimhan is interested in problems at the intersection of genomics, computer science and statistics.

Dr. Robin R. Rohwer

Research Fellow, Baker Marine Microbial Ecology Lab, Department of Integrative Biology
The University of Texas at Austin

Two Decades of Microbial Ecology and Evolution in a Freshwater Lake

Dr. Rohwer is an NSF-funded Postdoctoral Fellow at The University of Texas at Austin in the Baker Microbial Ecology Lab. Specializing in freshwater microbial ecology and evolution, she uses DNA sequencing to explore how bacterial communities in lakes change both ecologically and evolutionarily over time.

Dr. Rohwer earned her Ph.D. in Environmental Chemistry and Technology from the University of Wisconsin–Madison, where she was involved in a study of Lake Mendota’s microbial communities. Her doctoral work provided valuable insight into how microbial genomes evolve and respond to ecological pressures. In addition to her current fellowship at UT Austin, Dr. Rohwer has held a postdoctoral role at the DOE Joint Genome Institute, expanding her expertise in large-scale metagenomic analysis.

Dr. Rohwer has published extensively—covering themes from bacterial evolution in nature to viral dynamics in lake ecosystems. Her work has been featured in outlets including Al Jazeera, HPC Wire, and Madison Magazine and she has shared her findings on podcasts and radio.

Dr. Dan Stanzione

Associate Vice President For Research, UT Austin
Executive Director, TACC

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.

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Tutorials

Deep Learning in Life Sciences Research: Build Your Own Artificial Neural Network

Presenter: Kelsey Beavers

Deep learning is driving breakthroughs in life sciences research, including: predicting the 3D structure of proteins from their amino acid sequences; automating species recognition from image, video and sound data; translating the raw signal of long-read sequencers into nucleotide calls; predicting sample origins based on genetic variation; and many more areas. This tutorial will lead attendees through the basics of building an artificial neural network - a computational model for processing information inspired by biological neurons in the brain, and a fundamental component of deep learning models.

Successful Sustainability: Strategies for Growing Your Software and Portal Products

Presenters: Claire Stirm & Juliana Casavan

This tutorial will give attendees a deeper understanding of what it takes to create an effective sustainability plan that meets the requirements to succeed. The sustainability strategy session will cover, understanding the problem, defining the solution, identifying the audience, potential funding sources, and marketing.

Finding Funding During the New World Order

Presenter: Jonelle Bradshaw De Hernandez

Explore strategies for identifying and securing private foundation funding in a rapidly changing research and philanthropic landscape. This tutorial will highlight tools, trends, and best practices for navigating foundation databases and aligning proposals with funder priorities.

Data Transfer Strategies and NetSage

Presenters: Jen Schopf & Doug Southworth

Modern science is increasingly data-driven and collaborative in nature, producing petabytes of data that can be shared by tens to thousands of scientists all over the world. NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to address the needs of today's networks. This tutorial introduces NetSage and strategies for optimizing data transfers.

Introduction to Horizon

Presenter: Lars Koesterke

Learn how to get started with Horizon, TACC’s latest high-performance computing system designed to support open science at scale. This tutorial covers the onboarding process, system capabilities, and best practices for running research workflows efficiently on Horizon.

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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 23-24, 2025

Texas Advanced Computing Center

Pickle Research Campus | Austin, TX

Speakers

Dr. Chengkai Li

Professor, Department of Computer Science and Engineering The University of Texas at Arlington

Dr. Soumya Mohanty

Professor, Department of Physics and Astronomy The University of Texas at Rio Grande Valley

Dr. Vagheesh M. Narasimhan

Assistant Professor, Department of Integrative Biology, Department of Statistics and Data Science The University of Texas at Austin

Dr. Robin R. Rohwer

Research Fellow, Baker Marine Microbial Ecology Lab, Department of Integrative Biology The University of Texas at Austin

Dr. Dan Stanzione

Associate Vice President For Research, UT Austin Executive Director, TACC

Tutorials

Deep Learning in Life Sciences Research: Build Your Own Artificial Neural Network

Presenter: Kelsey Beavers

Successful Sustainability: Strategies for Growing Your Software and Portal Products

Presenters: Claire Stirm & Juliana Casavan

Finding Funding During the New World Order

Presenter: Jonelle Bradshaw De Hernandez

Data Transfer Strategies and NetSage

Presenters: Jen Schopf & Doug Southworth

Introduction to Horizon

Presenter: Lars Koesterke

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

Professor, Department of Computer Science and Engineering
The University of Texas at Arlington

Professor, Department of Physics and Astronomy
The University of Texas at Rio Grande Valley

Assistant Professor, Department of Integrative Biology, Department of Statistics and Data Science
The University of Texas at Austin

Research Fellow, Baker Marine Microbial Ecology Lab, Department of Integrative Biology
The University of Texas at Austin

Associate Vice President For Research, UT Austin
Executive Director, TACC