TACCSTER 2024

September 23-25, 2024

Texas Advanced Computing Center

Pickle Research Campus | Austin, TX


Speakers

 

Dr. Tan Bui-Thanh

Associate Professor Oden Institute for Computational Engineering and Sciences, Department of Aerospace Engineering & Engineering Mechanics, The University of Texas at Austin

Learn2Solve: A Deep Learning Framework for Real-Time Solutions of Forward, Inverse, and Uncertainty Quantification Problems

Dr. Tan Bui-Thanh is an associate professor, and the endowed William J Murray Jr. Fellow in Engineering No. 4, of the Oden Institute for Computational Engineering & Sciences, and the Department of Aerospace Engineering & Engineering mechanics at the University of Texas at Austin.

He has decades of experience and expertise on multidisciplinary research across the boundaries of different branches of computational science, engineering, and mathematics. Dr. Bui-Thanh is currently a co-director of the Center for Scientific Machine Learning at the Oden Institute. He is a former elected vice president of the SIAM Texas-Louisiana Section, and a former elected secretary of the SIAM SIAG/CSE. Dr. Bui-Thanh was an NSF (OAC/DMS) early CAREER recipient, the Oden Institute distinguished research award, and a two-time winner of the Moncrief Faculty Challenging award.

 

Dr. Clint Dawson

J.J. McKetta Centennial Energy Chair in Engineering and Department Chair, Department of Aerospace Engineering & Engineering Mechanics, The University of Texas at Austin

How HPC Revolutionized Storm Surge Modeling

Dr. Clint Dawson holds the Cockrell Family Regents Chair in Engineering #2 and is department chair of the Department of Aerospace Engineering and Engineering Mechanics. He is also the head of the Computational Hydraulics Group in the Oden Institute for Computational Engineering and Sciences.

Dr. Dawson has authored or co-authored over 200 technical articles in the areas of numerical analysis, numerical methods and parallel computing, with applications to flow and transport in porous media, and shallow water systems.

Earlier this year, Dawson received The University of Texas President's Research Impact Award, which recognizes university researchers whose scholarly or creative endeavors have changed lives and the way we look at and understand the world.

 

Dr. Stella Offner

Associate Professor of Astronomy Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin

Expanding the Frontera of Astrophysics: From Galaxies to Individual Stars

Dr. Stella Offner is an Associate Professor of Astronomy at UT Austin and Co-Director of the Center for Scientific Machine Learning.

Prof. Offner's research focuses on understanding how stars like the Sun form by combining numerical simulations, observations and observational modeling. She uses statistical techniques and machine learning to parse data and identify the physical characteristics of forming stars.

From 2009-2012 she was an NSF Astronomy & Astrophysics prize postdoctoral fellow at the Harvard-Smithsonian Center for Astrophysics and a NASA Hubble prize postdoctoral fellow at Yale from 2012-2014.

 

Dr. Hedeih Torabifard

Assistant Professor of Chemistry and Biochemistry The University of Texas at Dallas

Computational Investigation of Fluoride Export Proteins

Dr. Torabifard is an Assistant Professor in Chemistry and Biochemistry at the University of Texas Dallas.

Dr. Torabifard’s research has two main focuses: investigation of biological function and structure of membrane transport proteins to uncover more details about their selectivity and transport mechanisms, and design of new bio-based ionic liquids to improve the green character of ionic liquids and to overcome the drawbacks of currently employed ionic liquids such as toxicity and low biodegradability.

She was recently awarded an NIH-NIGMS (MIRA) grant to support her work on transmembrane transporters, and an American Chemical Society Petroleum Research Fund DNI grant to support her research on modeling environmentally friendly bio-based ionic liquids.

 

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

 

Containers for HPC Reproducibility: Building, Deploying, and Optimizing

Presenters: Erik Ferlanti, John Fonner

Software containers have gained immense popularity as an effective means for enhancing the portability and reproducibility of high-performance computing (HPC) applications. This hands-on workshop is designed to provide a comprehensive introduction to building, running, and distributing Docker and Singularity/Apptainer containers specifically tailored for HPC environments. Participants will receive in-depth guidance on creating HPC-compliant containers that are not only suitable for local testing and development but also optimized for deployment on advanced HPC systems.Special attention will be given to the intricacies of building containers that can run on multiple nodes using MPI and using accelerated hardware such as GPUs. Moreover, the workshop will delve into best practices for containerization in HPC contexts, troubleshooting common issues, and strategies for ensuring the seamless integration of containers into existing HPC workflows. By the end of the session, attendees will be equipped with the knowledge and skills necessary to leverage the full potential of HPC containers, contributing to more efficient, reproducible, and scalable computing solutions.

Presentation Slides

 

Reproducible ML Workflows and Deployments with Tapis

Presenters: Joe Stubbs, Christian Garcia, Nathan Freeman, Anagha Jamthe, Steve Black, Gilbert Curbelo

This tutorial aims to provide researchers with a comprehensive introduction to the latest reproducible Machine Learning (ML) workflows and tooling provided by the NSF-funded Tapis v3 Application Programming Interface (API) and User Interface (UI). Through hands-on exercises, participants will gain experience in querying pre-trained ML models from public ML infrastructures such as Hugging Face or the ICICLE AI Institute, deploying various ML work-environments, and developing ML workflows on national-scale supercomputing resources. Throughout this tutorial, we will focus on utilizing the Tapis Workflows API, Tapis Pods API, Tapis ML Hub API, and TapisUI. These production-grade services are designed to simplify the facilitation and creation of trustworthy, reproducible, scientific workflows. By abstracting the complexities of underlying technologies behind user-friendly APIs, the Tapis services enable seamless integration with high performance computing (HPC) resources available at institutions with a Tapis deployment. Ultimately the tutorial aims to empower researchers to efficiently develop, deploy, and maintain their own ML workflows.

Presentation Slides

 

CUDA Programming: Basic Concepts in C and Fortran

Presenter: Lars Koesterke

Effective CUDA code differs from conventional code as it has to reflect and accommodate architectural features of GPUs. In this tutorial I will discuss several key elements of the hardware and the software, i.e. how the execution of a loop matches the grid and block structure of the hardware, how user-managed cache memory is leveraged for speed, and how data is transferred asynchronously from host to device. The tutorial is intended for intermediate-level C/C++ and Fortran programmers who are interested in making the first steps towards CUDA programming for GPUs.

Presentation Slides

 

Modern C++ for Computational Science

Presenter: Victor Eijkhout

C++ has seen increasing popularity in computational science in recent years, and accordingly the standard has started including features that accommodate such use. One of the main innovations in recent C++ standards is the use of ranges and range algorithm, which is a more elegant, and less error-prone way of expressing data parallel loops. We cover the basic concepts of ranges and range adapters, as well as lambda expression which are often used in range algorithms. There are various ways that ranges can be used in parallel processing, and we will cover several of these: including OpenMP integration, and the standard mechanism of parallel execution policies. The second relevant innovation is true multi-dimensional array handling. This comes from the `mdspan' library, which rather than providing a new container type, gives a non-owning view into traditional containers such as the standard vector. We will give an example-driven introduction to these concepts, and show how they can be combined to express for instance stencil operations.

Presentation Slides

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Lightning Talks

1

Topo-CNN: Breast Cancer Detection with Topological Deep Learning

Brighton Nuwagira
Department of Mathematical Sciences, The University of Texas at Dallas

2

Simulation of the Mosquito Population after Hurricane Harvey

Liting Huang
Computational Hydraulics Group, Oden Institute, The University of Texas at Austin

3

Transcatheter Edge-to-Edge Repair Procedural Parameters Impact Valve Function and Mechanics

Collin Haese
Department of Mechanical Engineering, The University of Texas at Austin

4

GPU-Accelerated Simulation of Deformable Capsules Flowing Through A Pipe

Joar Bagge
Oden Institute, The University of Texas at Austin

5

Studying Vibrio cholerae ToxR(ToxT)-DNA Interactions using GROMACS

Hugo Villar Castellanos
Department of Physics and Astronomy, The University of Texas Rio Grande Valley

6

Gravity Missions at The Center for Space Research: 22+ Years of Scientific Discoveries and Expanding Societal Applications

John C Ries
The Center for Space Research, The University of Texas at Austin

7

Deep Learning Approaches for Time Series Forecasting of NICU Heart Rate Data

Kangsheng Qi
Oden Institute for Computational Engineering and Sciences, and Dell Medical School, The University of Texas at Austin

8

Simulation of Dissipative Electron Quantum Transport in Si Nanowire Transistors: Effects of Phonon Confinement

Bimin Cai
Department of Materials Science and Engineering, The University of Texas at Dallas

9

The Process of Using Polycraft World AI Lab on TACC’s Lonestar6 to Train and Evaluate Agent Performance in Novel Scenarios

Stephen A. Goss
High Performance Computing Center, The University of Texas at Dallas

10

Granular Analysis of Social Media Users’ Truthfulness Stances Toward Climate Change Factual Claims

Haiqi Zhang
Computer Science and Engineering, The University of Texas at Arlington

11

WITHDRAWN

12

Evaluating the Impacts of Climate Change on Surface Water and Groundwater Availability in the Brazos River Basin, Texas

Hao-Po Chang
Environmental Engineering Department, Texas A&M University-Kingsville

13

TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis

Saba Fatema
Department of Mathematical Sciences, The University of Texas at Dallas

14

Evaluation of Machine Learning Models for Propensity Score Matching in Clinical Real-World Data

Justin Nguyen
Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch

15

Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement

Lijun Qian
CREDIT Center and Department of Electrical and Computer Engineering, Prairie View A&M University

16

Effects of Offshore Wind Energy on Ocean Circulation and Mixing

Miguel A. Guzmán Hernández
Department of Mechanical Engineering, The University of Texas at Dallas

17

The UT-City Climate Colab and TACC Partnership in Advanced Weather Prediction and Urban Resilience

Dev Niyogi
TExUS Lab and UT-City Climate CoLab, The University of Texas at Austin

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Poster Presentations

1

Topo-CNN: Breast Cancer Detection with Topological Deep Learning

Brighton Nuwagira, Qiwei Li, and Baris Coskunuzer
The University of Texas at Dallas

2

Simulation of the Mosquito Population after Hurricane Harvey

Liting Huang1, Eirik Valseth1,2, Albert Cerrone1,5, Jennifer Proft1, Chayanon Wichitrnithed1, Michael Shensky3, Katherine Brown1,4, and Clint Dawson1,6
1. Oden Institute, The University of Texas at Austin
2. Department of Data Science, Norwegian University of Life Science, Norway
3. University of Texas Libraries, The University of Texas Austin
4. Cavendish Laboratory, University of Cambridge, UK
5. Civil and Environmental Engineering and Earth Sciences, University of Notre Dame
6. Aerospace Engineering and Engineering Mechanics, The Oden Institute for Computational Engineering

3

Transcatheter Edge-to-Edge Repair Procedural Parameters Impact Valve Function and Mechanics

Collin Haese1, Vijay Dubey1, and Manuel Rausch2
1. Department of Mechanical Engineering, The University of Texas at Austin
2. Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin

4

GPU-Accelerated Simulation of Deformable Capsules Flowing Through A Pipe

Joar Bagge, George Biros, and Dhwanit Agarwal
Oden Institute, The University of Texas at Austin

5

Studying Vibrio cholerae ToxR(ToxT)-DNA Interactions using GROMACS

Hugo Villar Castellanos, Ahmed Touhami, and Andreas Hanke
Department of Physics and Astronomy, The University of Texas Rio Grande Valley

6

Gravity Missions at The Center for Space Research: 22+ Years of Scientific Discoveries and Expanding Societal Applications

John C Ries, and The Entire GRACE/GRACE-FO Team
The Center for Space Research, The University of Texas at Austin

7

Deep Learning Approaches for Time Series Forecasting of NICU Heart Rate Data

Kangsheng Qi, and Joshua Chang
Oden Institute for Computational Engineering and Sciences; and the Department of Neurology, Dell Medical School, The University of Texas at Austin

8

Simulation of Dissipative Electron Quantum Transport in Si Nanowire Transistors: Effects of Phonon Confinement

Bimin Cai1, Maarten L. Van de Put2, and Massimo V. Fischetti1
1. Department of Materials Science and Engineering, The University of Texas at Dallas
2. Imec, Leuven, Belgium

9

The Process of Using Polycraft World AI Lab on TACC’s Lonestar6 to Train and Evaluate Agent Performance in Novel Scenarios

Stephen A. Goss
High Performance Computing Center, The University of Texas at Dallas

10

Granular Analysis of Social Media Users’ Truthfulness Stances Toward Climate Change Factual Claims

Haiqi Zhang, Zhengyuan Zhu, Zeyu Zhang, Jacob Devasier, and Chengkai Li
Computer Science and Engineering, The University of Texas at Arlington

11

WITHDRAWN

12

Evaluating the Impacts of Climate Change on Surface Water and Groundwater Availability in the Brazos River Basin, Texas

Hao-Po Chang
Environmental Engineering Department, Texas A&M University-Kingsville

13

TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis

Saba Fatema1, Brighton Nuwagira1, Sayoni Chakraborty1, Reyhan Gedik2, and Baris Coskunuzer1
1. Department of Mathematical Sciences, The University of Texas at Dallas
2. MGH-Department of Pathology, Harvard Medical School

14

Evaluation of Machine Learning Models for Propensity Score Matching in Clinical Real-World Data

Justin Nguyen1, Kostiantyn Botnar2, Madison G. Farnsworth3, Sarah Almentrat2, Vivan Tat2, Kamil Khanipov2, and George Golovko2
1. Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch
2. Department of Pharmacology and Toxicology, The University of Texas Medical Branch
3. Human Pathophysiology and Translational Medicine, The University of Texas Medical Branch

15

Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement

Lijun Qian1,2, Shouvon Sarker1, Xishuang Dong1, and Xiangfang Li1
1. CREDIT Center, Prairie View A&M University
2. Department of Electrical and Computer Engineering, Prairie View A&M University

16

Effects of Offshore Wind Energy on Ocean Circulation and Mixing

Miguel A. Guzmán Hernández1, J. M. Perez Medina2, K. Yousefi1, and S. Leonardi1
1. Department of Mechanical Engineering, The University of Texas at Dallas
2. Department of Mechanical Engineering, University of Puerto Rico at Mayaguez

17

The UT-City Climate Colab and TACC Partnership in Advanced Weather Prediction and Urban Resilience

Dev Niyogi, and The UT-City Climate CoLab Team
TExUS Lab and UT-City Climate CoLab, The University of Texas at Austin

18

Aerodynamic Optimization for FSAE Style Vehicles using Computational Fluid Dynamics and Pareto Hypernetworks

Hayden Bell1, Ryan Hopke2, and Sasmita Mohapatra3
1. Department of Computer Science, The University of Texas at Dallas
2. Department of Mechanical Engineering, The University of Texas at Dallas
3. Cyberinfrastructure & Research Services, The University of Texas at Dallas

19

Wise-GNN: Enhancing GNNs with Wise Embeddings

Md Joshem Uddin1, Astrit Tola1, Cuneyt Gurcan Akcora2, and Baris Conkunuzer1
1. Department of Mathematical Sciences, The University of Texas at Dallas
2. Department of Computer Science, University of Central Florida

20

Artificial Intelligence for the Public Sector: Bridging the Gap between Academia and Practice

Zander Mintz, and Ji Ma
LBJ School of Public Affairs, The University of Texas at Austin

21

Flood Impact Mitigation: Assessing the Role of Natural Barriers in Protecting Crops in the Rio Grande Valley, Texas

Stone Nwamadi, Ira Narang, Jennifer Proft, Clint Dawson, and Katherine Brown
The University of Texas at Austin

22

Topological Machine Learning for Computer-Aided Medical Diagnosis

Philmore Koung1, Brighton Nuwagira1, Caner Korkmaz2, and Baris Coskunuzer1
1. Department of Natural Sciences and Mathematics, The University of Texas at Dallas
2. Imperial College London

23

Fluid-Structure Interaction Simulation of Non-Uniformly Calcified Aortic Valve

Mishal Raza-Taimuri, and Hamid Sadat
Department of Mechanical Engineering, University of North Texas

24

Theoretical Study of Carrier Transport in Bilayer Transition Metal Dichalcogenides

Shoaib Mansoori1, Gautam Gaddemane2, Sanjay Gopalan3, Massimo Fischetti1, and Edward Chen4
1. Department of Material Science and Engineering, The University of Texas at Dallas
2. Imec, Belgium
3. Bosch Research, USA
4. Taiwan Semiconductor Manufacturing Company (TSMC), Taiwan

25

Detecting Stance of Social Media Posts Toward Truthfulness of Factual Claims for Social Goods

Zhengyuan Zhu, Haiqi Zhang, Zeyu Zhang, and Chengkai Li
The University of Texas at Arlington

26

Classical Simulability of Gaussian Boson Sampling

Sarvesh Raghuraman, and Brian La Cour
Applied Research Laboratories, The University of Texas at Austin

27

Flood Impact Mitigation: Assessing the Role of Sand Dunes in the Rio Grande Valley, Texas

Ira Narang1, Clint Dawson1,2, Katherine A. Brown1,3, and Jennifer Proft1
1. The Oden Institute for Computational Engineering & Sciences, The University of Texas at Austin
2. Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin
3. Cavendish Laboratory, University of Cambridge UK

28

TopER: Topological Embeddings in Graph Representation Learning

Astrit Tola1, Funmilola Mary Taiwo2, Cuneyt Gurcan Akcora3, and Baris Coskunuzer1
1. Department of Mathematics, The University of Texas at Dallas
2. Department of Statistics, University of Manitoba
3. AI Institute, University of Central Florida

29

Remote Visualization in Fluid Dynamics

Brandon Antron, Sakshi More, and Guillermo Araya
Computational Turbulence and Visualization Lab, Department of Mechanical Engineering, The University of Texas at San Antonio

30

Molecular Dynamics Approach for Process Modeling and Material Characterization of Carbon Fibers

Md Fazlay Alam, and Armanj D. Hasanyan
Aerospace and Mechanical Engineering, The University of Texas at El Paso

31

Network Performance Monitoring with NetSage

Doug Southworth
Texas Advanced Computing Center, The University of Texas at Austin

32

Robust Frame-Semantic Models with Lexical Unit Trees and Negative Samples

Jacob Devasier, and Chengkai Li
Department of Computer Science and Engineering, The University of Texas at Arlington

33

Numerical Investigation of Angular Particle Dynamics

John Michael B. Tubije1, Umberto Ciri2, Sylvia Rodríguez-Abudo3, and Stefano Leonardi1
1. Department of Mechanical Engineering, The University of Texas at Dallas
2. Department of Mechanical Engineering, University of Puerto Rico at Mayagüez
3. Department of Engineering Sciences and Materials, University of Puerto Rico at Mayagüez

34

Parallel K-Core Decomposition Algorithm for Large Dynamic Graphs

Farahnaz Hosseini
University of North Texas

35

The UT-OSPO

Angela Newell1, Jennifer Schopf2, and Michael Shensky3
1. Chief Information Office, The University of Texas at Austin
2. TACC, The University of Texas at Austin
3. University Libraries, The University of Texas at Austin

36

Simulating Stiff Systems with A Linear Parameterized Latent Space

Cole Nockolds1, C. G. Krishnanunni2, and Tan Bui1
1. Oden Institute, The University of Texas at Austin
2. Department of Aerospace Engineering, The University of Texas at Austin

37

Using Kwant to Unveil a Non-sinusoidal Current-phase Relation in a Semiconductor-superconductor Josephson Junction

Konner Feldman1, Zhuoqun Hao2, and Shyam Shankar2
1. Department of Physics, The University of Texas at Austin
2. Electrical and Computer Engineering, The University of Texas at Austin

38

Photoswitchable Liposomes for Drug Delivery

Kevin Alberto1, M.N. Hasna Begam1, Hejian Xiong2,3, Wataru Shinoda4, Paul A. Slesinger5, Zhenpeng Qin6, and Steven O. Nielsen1
1. Department of Chemistry and Biochemistry, The University of Texas at Dallas
2. Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence
3. Department of Neurobiology, School of Basic Medical Sciences, Southern Medical University
4. Research Institute for Interdisciplinary Science, Okayama University
5. Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai
6. Department of Mechanical Engineering, The University of Texas at Dallas

39

Graph Neural Networks for Contact between Deformable Bodies

Vijay Dubey1, Collin E. Haese1, Jan Fuhg2, Manuel K. Rausch2,3,4, and Osman Gültekin2
1. Department of Mechanical Engineering, The University of Texas at Austin
2. Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin
3. Department of Biomedical Engineering, The University of Texas at Austin
4. Oden Institute of Computation Engineering and Sciences, The University of Texas at Austin

40

Exploring Behavioral Tendencies on Social Media: A Perspective Through Claim Check-Worthiness

Zeyu Zhang, Zhengyuan Zhu, Haiqi Zhang, and Chengkai Li
Department of Computer Science & Engineering, The University of Texas at Arlington

41

Rice Field Irrigation Mapping from High-resolution Aerial Imagery using a Contextual-aware Deep Network

Aniv Chakravarty1, Xiaohui Yuan1, Abolfazl Meyarian1, and Lu Liang2
1. Department of Computer Science, University of North Texas
2. Department of Landscape Architecture & Environmental Planning, Berkeley College of Environmental Design

42

Computationally Predicting a Synaptic NF-kB Protein Interaction Network

Haley Goodwin, and Nigel S. Atkinson
Department of Neuroscience and Waggoner Center for Alcohol & Addiction Research, The University of Texas at Austin

43

Power in Numbers: Emergent Phenomena from Increasing Droplet Size in Biomolecular Condensates

Caleb Huang, and B. Montgomery Pettitt
Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch

44

Air Quality and Health Co-Benefits of Vehicle Electrification and Emission Controls in Major US Urban Hubs

Ali Mousavinezhad1, Yunsoo Choi2, Nima Khorshidian2, Masoud Ghahremanloo2, and Mahmoudreza Momeni2
1. Jackson School of Geosciences, University of Texas at Austin
2. Department of Earth and Atmospheric Science, University of Houston

45

Content Moderation in the Era of Generative AI

Emet Bethany1, Mazal Bethany2, and Peyman Najafirad1
1. Department of Computer Science, The University of Texas at San Antonio
2. Department of Information Systems, The University of Texas at San Antonio;

46

Parallel Processing Framework for Analyzing Spatiotemporal Variation in Dust Storm Events

Hassan Dashtian1,, Alexander Lee2, Asim Waheed2, Ali Mousavinezhad1, and Manmeet Singh1
1. Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin
2. Department of Computer Science, The University of Texas at Austin

47

Towards Adaptive Selection of Directions in Unconstrained, Deterministic Derivative-Free Optimization

Marissa Llamas1, Raghu Bollapragada2, and Cem Karamanli2
1. Department of Mathematics, The University of Texas at Austin
2. Operations Research and Industrial Engineering, The University of Texas at Austin,

48

Assessing Biases in AI-Driven Hurricane Forecasting: A Comparative Study of Leading Models in the Gulf of Mexico

Naveen Sudharsan1, Manmeet Singh2, Harsh Kamath2, Sasanka Talukdar2, Shyama Mohanty2, Krishna Kishore Osuri3, Hassan Dashtian2, Clint Dawson4,5, Zong-Liang Yang2, and Dev Niyogi2,4,5
1. Department of Earth and Planetary Sciences, The University of Texas at Austin
2. Jackson School of Geosciences, The University of Texas at Austin
3. Department of Earth and Atmospheric Science, National Institute of Technology Rourkela
4. Cockrell School of Engineering, The University of Texas at Austin
5. Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin

49

Numerical Implementation of the Barrier Lowering Effect at Metal Surfaces

Pranay Baikadi, and William G. Vandenberghe
Department of Materials Science, The University of Texas at Dallas

50

Real-time Sentiment and Emotion Analysis of Social Media Content on Energy Transition

Hassan Dashtian1, David J. Lee2, Maria-Laura Peña2, Manmeet Singh1, and Michael H. Young1
1. Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin
2. Department of Computer Science, University of Texas at Austin

51

UT-MeteoGAN: A Next-Generation AI Model for High-Resolution Numerical Weather Prediction

Manmeet Singh1, Naveen Sudharsan1, Harsh Kamath1, Vaisakh SB2, Hassan Dashtian3, Arya Chavoshi1, John Fonner4, Clint Dawson5, Michael Young1, Zong-Liang Yang1, and Dev Niyogi1
1. Jackson School of Geosciences, The University of Texas at Austin
2. Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India
3. Bureau of Economic Geology, The University of Texas at Austin
4. Texas Advanced Computing Center, The University of Texas at Austin
5. Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin,

52

Enabling Automated Fact Checking of Voting Related Claims Using Frame Semantic Parsing and Semantic Search

Rishabh Mediratta, Jacob Devasier, and Chengkai Li
Department of Computer Science & Engineering, The University of Texas at Arlington

53

Engagement and Performance Operations Center (EPOC)

Corey Eichelberger1, Jen Schopf1, Nathaniel Mendoza1, Doug Southworth1, George Robb2, and Jason Zurawski2
1. Texas Advanced Computing Center, The University of Texas at Austin
2. DOE Energy Sciences Network, Lawrence Berkeley National Lab

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