| Shu | Hu | Purdue University | School of Applied and Creative Computing | Improving Fairness in Detecting AI-Synthesized Fake Multimedia | Applied Computer Science; Artificial Intelligence and Intelligent Systems; Computer Science; Media and communications; Other Computer and Information Sciences; Other Engineering and Technologies; Performance Evaluation and Benchmarking; Visualization and Human-Computer Systems | DeepFake Detection; Media Forensics; Generalization; AI-generated Media |
| Armstrong | Aboah | North Dakota State University | | PRIME: A Foundational Predictive Real-time Intersection Monitoring Engine | Applied Computer Science; Artificial Intelligence and Intelligent Systems; Civil Engineering; Computer Science | Machine learning, Safety, Intersection, trajectory |
| Yupeng | Zhang | University of California, Los Angeles | | Iterative learning for materials and structures | Applied Computer Science; Applied Mathematics; Artificial Intelligence and Intelligent Systems; Civil Engineering; Computer Science; Geology and Solid Earth Sciences; Informatics, Analytics and Information Science; Infrastructure and Instrumentation; Materials Engineering; Mechanical Engineering; Other Computer and Information Sciences; Other Engineering and Technologies; Statistics and Probability; Visualization and Human-Computer Systems | solid mechanics, materials characterization, Bayesian statistics, inverse problems, AI/ML, multiscale modeling of complex system, thermo-magneto-mechanical couplings. |
| Zhuangdi | Zhu | George Mason University | | Developing Engaging AI Chatbots to Enhance Senior Well-being | Applied Computer Science; Artificial Intelligence and Intelligent Systems; Health Sciences | Agentic AI Chatbot Cognitive Health User Study |
| Naeemul | Hassan | University of Maryland | College of Information | AI for Quality Healthcare Information | Applied Computer Science; Artificial Intelligence and Intelligent Systems; Computer Science; Health Sciences; Informatics, Analytics and Information Science; Media and communications; Other Computer and Information Sciences; Other Medical Sciences; Statistics and Probability; Visualization and Human-Computer Systems | Artificial Intelligence; Large Language Model; Health Information; Natural Language Processing |
| Xiao | Wang | Oak Ridge National Laboratory | | Computing-Efficient Training for Large-Scale Vision Transformer Foundation Models | Applied Computer Science; Artificial Intelligence and Intelligent Systems; Computer Science | vision transformer, exascale foundation model, high performance computing, energy efficiency |
| Yang | Liu | Texas A&M University | Department of Nuclear Engineering | LLM-Enhanced Cyber-Physical Testbed for Advanced Reactor Monitoring and Predictive Maintenance | Artificial Intelligence and Intelligent Systems; Mechanical Engineering; Other Engineering and Technologies | Generative AI; Advanced Energy Systems; Automating Engineering Workflow; Real-Time Remote Monitoring and Control; Modeling and Simulation; Retrieval Augmented Generation |
| Anima | Anandkumar | Caltech | Computing and Mathematical Sciences | Neural Operators for Scalable and Sustainable Scientific Modeling | Applied Computer Science; Applied Mathematics; Artificial Intelligence and Intelligent Systems; Computer Science; Other Computer and Information Sciences | AI for science; neural operators; physics-informed ML; accelerating simulations and scientific discovery; inverse design; |
| Megan | Phinney | Los Alamos National Laboratory (LANL) | | Super Containers at Super Scale | High Performance Computing | Containers; Linux/Unix Shell commands; Git; Python; C; POSIX sh programming |
| Edgar | Lobaton | North Carolina State University | | AI-Guided Learning in JupyterHub Environments | Applied Computer Science; Educational Sciences; Electrical, Electronic, and Information Engineering | Code assistant; LLMs; AI as a guide; Physics Modeling |
| Kenneth | Moreland | Oak Ridge National Laboratory (ORNL) | | Advanced Scientific Visualization with Viskores | Computer Science; High Performance Computing; Open Source Software; Software Engineering; Visualization and Human-Computer Systems | visualization; HPC; GPU |
| Damien | Lebrun-Grandie | ORNL | | Kokkos Tools | Applied Computer Science; High Performance Computing; Performance Evaluation and Benchmarking; Software Engineering | Performance Portability; Exascale Computing; C++; Heterogeneous Architectures; GPU; Parallel Programming; Tooling / Profiling |
| Andrew | `Myers | LBNL | Applied Mathematics | Python-driven workflows with AMReX | Applied Computer Science; Applied Mathematics; High Performance Computing; Software Engineering | Adaptive Mesh Refinement; Math libraries; Scientific Computing; C++; Python; AI/ML; automatic differentiation; uncertainty quantification |
| Varun | Kasireddy | Carnegie Mellon University | Robotics | Visual Language Model for Stand-off Triage Sensing | Computer Science | Robotics; Multimodal Perception; Vision-Language Models; Edge Computing; ROS 2; Real-Time Evaluation; Reliable AI; Field Testing; Sensor Fusion; LiDAR |
| Agniv | Sengupta | University of California San Diego | Scripps Institution of Oceanography | AI Models for the Prediction of Extreme Weather Events | Artificial Intelligence and Intelligent Systems; Atmospheric Sciences | Weather; Meteorology; Artificial Intelligence; Machine Learning |
| Reno | Kriz | Johns Hopkins University | Human Language Technology Center of Excellence | SCALE 2026: Event Understanding and Summarization from Real-time Videos | Artificial Intelligence and Intelligent Systems; Computer Science; Electrical, Electronic, and Information Engineering; Informatics, Analytics and Information Science | multimodal retrieval-augmented generation; multi-video summarization; video retrieval; speech/audio summarization; optical character recognition; audio/visual event detection; computer vision; speech processing |
| Shi Zhuo | Looi | California institute of technology | Mathematics (Division of physics, mathematics and astronomy) | AI-Driven Methods for Discovering and Proving Mathematical Inequalities | Applied Computer Science; Applied Mathematics; Artificial Intelligence and Intelligent Systems; Computer Science; High Performance Computing; Performance Evaluation and Benchmarking; Training | |
| Zhe | Zhang | Texas A&M University | Geography | Utilizing NAIRR Pilot Resources for Building Sustainable Blue Economy | Educational Sciences; Environmental Biology; Environmental Biotechnology; Environmental Engineering; Other Earth and Environmental Sciences | NAIRR, Cyberinfrastructure, Blue Economy, Artificial Intelligence, Oceanography, GIScience |
| Avi | Sahu | UNM Comprehensive Cancer Center | Dept of Internal Medicine | Bridging Molecules and Medicine: Explainable AI for Genetics and Imaging | Artificial Intelligence and Intelligent Systems; Biochemistry and Molecular Biology; Clinical Medicine; Health Sciences | Explainable AI; Genomics; Variant interpretation; Endoscopy; Multimodal LLMs; Human-AI collaboration; Cancer prevention; Precision oncology; Ovarian cancer; Colorectal cancer. |
| Tuan | Do | UCLA | | Integrating LLMs into Machine Learning for Physics and Astronomy Education | Artificial Intelligence and Intelligent Systems; Astronomy and Planetary Sciences; Particle and High-Energy Physics | LLMs; transformers; science education; Physical Sciences; Physics; Astrophysics; Data Science; Lab Classes |
| Haohan | Wang | University of Illinois Urbana Champaign | School of Information Sciences | Toward Redefining Disease Taxonomy: Scaling Transcriptomic Analysis with Agentic AI Systems | Basic Medicine; Biochemistry and Molecular Biology; Health Sciences | Disease should not be defined by clinical manifestation, but by the underlying mechanism |
| Steven | Fernandes | Creighton University | Computer Science, Design and Journalism | Building Generative AI Applications | Artificial Intelligence and Intelligent Systems; Computer Science; Health Sciences; Software Engineering | Generative AI; Deep Learning; Computer Vision; Machine Learning; Medical Image Processing. |
| Axel | Huebl | Lawrence Berkeley National Laboratory | Accelerator Technology & Applied Physics | Novel Exascale & AI Workflows with WarpX | Applied Computer Science; Applied Mathematics; Fluid and Plasma Physics; High Performance Computing; Open Source Software; Particle and High-Energy Physics; Performance Evaluation and Benchmarking; Software Engineering | |
| Todd | Gamblin | LLNL | Livermore Computing | Spack at LLNL | Applied Computer Science; Applied Mathematics; Artificial Intelligence and Intelligent Systems; Computer Science; High Performance Computing; Open Source Software; Software Engineering | |
| Khaled | Ibrahim | Lawrence Berkeley National Laboratory | Computer Science | Performant Scientific Workflows in HPC Environments | Applied Computer Science; Artificial Intelligence and Intelligent Systems; Computer Science; High Performance Computing; Performance Evaluation and Benchmarking | High Performance Computing HPC/AI workflows |
| Andy | Nonaka | LBNL | Applied Mathematics | High-Performance Multiphysics and Multiscale Modeling with AMReX | Applied Computer Science; Applied Mathematics; Atmospheric Sciences; Computer Science; Electrical, Electronic, and Information Engineering; Fluid and Plasma Physics; High Performance Computing; Open Source Software; Performance Evaluation and Benchmarking; Software Engineering | partial differential equations, structured mesh, particle/mesh, data/ML-driven model acceleration, industrial fluids, biofluids, micro/nanoscale fluids, plasmas, microelectronics, environmental flow. |
| Arianna | Formenti | LBNL | | Physics simulations and code development for plasma and/or accelerator physics | Fluid and Plasma Physics; High Performance Computing; Open Source Software; Particle and High-Energy Physics | particle; accelerator; hpc; plasma; physics; fusion; particle-in-cell; |
| Tianyi | Shi | Lawrence Berkeley National Laboratory | | Develop tensor algorithms in Python | Applied Computer Science; Applied Mathematics; High Performance Computing; Open Source Software | Numerical linear algebra; tensor computations; parallel algorithms; Python. |
| Phillip | Thomas | Lawrence Berkeley National Laboratory | NERSC | Simulating Vibrational Spectra of Molecules | Applied Computer Science; Applied Mathematics; High Performance Computing; Materials Engineering; Open Source Software; Software Engineering | Fortran; python; spectroscopy; chemistry; physics; high performance computing; simulation; workflow; pipeline; automation |
| Kevin A. | Brown | Argonne National Laboratory (ANL) | Mathematics and Computer Science Division | Analyzing and Modeling Large Scale Infrastructure | Artificial Intelligence and Intelligent Systems; Computer Science; Electrical, Electronic, and Information Engineering; High Performance Computing; Informatics, Analytics and Information Science; Infrastructure and Instrumentation; Other Computer and Information Sciences; Performance Evaluation and Benchmarking; Software Engineering; Statistics and Probability | networking supercomputing HPC ESnet AI Artificial intelligence Resilience Failure analysis Performance analysis |
| Sai Krishna Kanth | Hari | Los Alamos National Laboratory | | Scalable Algorithms for Critical Infrastructure Network Planning | Applied Computer Science; Applied Mathematics; Artificial Intelligence and Intelligent Systems; Chemical Engineering; Civil Engineering; Computer Science; Electrical, Electronic, and Information Engineering; High Performance Computing; Hydrology and Water Resources; Infrastructure and Instrumentation; Mechanical Engineering | Optimization, critical infrastructure, energy systems, network modeling, algorithms, decomposition, applied mathematics, computational methods. |
| Kesheng (John) | Wu | Lawrence Berkeley National Laboratory (LBNL) | | Advanced Modeling for Prediction and Anomaly Detection in Network Operations | Applied Computer Science; Artificial Intelligence and Intelligent Systems; Infrastructure and Instrumentation | Predictive Modeling Anomaly Detection Network Stability Machine Learning Data Analytics Network Operations |
| Talita | Perciano | Lawrence Berkeley National Laboratory | Scientific Data Division | AQuA-DATA: Advanced Quantum Algorithms for Diverse Applications and Theoretical Advancements in Science | Applied Mathematics; Computer Science; Other Computer and Information Sciences | Machine learning; applied math; quantum algorithms; probabilistic graphical models; high performance computing. |
| Arjun | Sharma | Sandia National Labs | Applied and Computational Mathematics | AI + Physics for Better Propellers/ turbines | Applied Computer Science; Applied Mathematics; Artificial Intelligence and Intelligent Systems; Environmental Engineering; Fluid and Plasma Physics; High Performance Computing; Mechanical Engineering; Open Source Software; Performance Evaluation and Benchmarking; Software Engineering | propellers, turbines, drones, aircraft, airfoils, aerosols, droplets, ice, turbulence, aerodynamics, thrust, torque, machine-learning, neural-networks, design optimization, climate, air-quality, SINDy |
| Justin | Wozniak | Argonne National Laboratory | Data Science & Learning | Applying Performance Prediction to Live Filesystems | Applied Computer Science; Applied Mathematics; Artificial Intelligence and Intelligent Systems; Open Source Software; Performance Evaluation and Benchmarking; Visualization and Human-Computer Systems | workflows;hpc;filesystems;prediction |
| Bert | de Jong | Lawrence Berkeley National Laboratory | | AI agents for chemical and materials science | Chemical Engineering; Computer Science; Condensed Matter Physics | AI; ML; chemical processes; materials; discovery; inverse design |
| Graham | Harper | Sandia National Laboratories | | Multilevel Machine Learning for Material Modeling | Applied Computer Science; Applied Mathematics; High Performance Computing; Materials Engineering | Mathematics; Multilevel Methods; Machine Learning; Neural Networks; Kolmogorov-Arnold Networks; Computer Science; Material Modeling; Engineering; |
| Roel | Van Beeumen | Lawrence Berkeley National Laboratory | Applied Mathematics and Computational Research Division | Simulation of quantum algorithms | Applied Mathematics; Computer Science; Condensed Matter Physics; High Performance Computing; Open Source Software; Performance Evaluation and Benchmarking | Quantum Computing Quantum Algorithms NISQ Quantum Linear Algebra Matlab C++ CPU/GPU Performance Optimization State Vector Simulation |
| Zhe | Bai | Lawrence Berkeley National Laboratory | Applied Mathematics and Computational Research | Sequential modeling of multi-scale dynamical systems | Applied Computer Science; Applied Mathematics; Artificial Intelligence and Intelligent Systems; High Performance Computing | Advanced sequential modeling; hierarchical learning; time series forecasting; dynamical systems. |
| Kathryn | Maupin | Sandia National Laboratories | Optimization and Uncertainty Quantification | Uncertainty Quantification of Displacement Damage Models | Applied Computer Science; Applied Mathematics; Computer Science; Other Computer and Information Sciences; Particle and High-Energy Physics; Statistics and Probability | Bayesian methods; model calibration; model validation; uncertainty quantification; model discrepancy; model form error. |
| George K. | Thiruvathukal | Argonne National Laboratory | | Software Engineering for Science in the AI Era | Applied Computer Science; Artificial Intelligence and Intelligent Systems; Computer Science; Open Source Software; Sociology; Software Engineering; Statistics and Probability | software engineering; mining software repositories; mixed-methods; statistical methods; Python; Linux; open source; open access; high-performance computing; distributed systems |
