| Hongmei | Chi | Florida A&M University | Computer Science | Applied Mathematics; Computer Science; Data Science; Machine Learning/AI | XAI; Precision Medicine; Genomic Data, privacy-preserving model, federated machine learning, scRNA-seq, data privacy, patients’ data privacy |
| Suzan | Anwar | Philander Smith University | Computer Science | Computer Science; Data Science | Artificial Intelligence, High-Performance Computing, Machine Learning, Graph Neural Networks, Data Science, Biomedical Informatics, Scientific Simulations |
| Baboucarr | Dibba | College of Coastal Georgia | Mathematics and Data Science | Applied Mathematics; Computer Science; Data Science; Machine Learning/AI; Mathematics; Physics | Neural network surrogate modeling Atmospheric cloud microphysics Surrogate model development HPC optimization Model training and evaluation Reduced computational cost |
| Arturo | Rodriguez | Texas A&M University | Department of Mechanical and Industrial Engineering | Applied Mathematics; Computer Science; Data Science; Engineering; Machine Learning/AI; Physics | Scientific Computing; Machine Learning; Scientific Machine Learning; Differentiable Programming; High-Performance Computing; Computational Fluid Dynamics; Fluid Mechanics; Heat Transfer |
| Augustine | Twumasi | University of Wisconsin-Stout | Mathematics, Statistics and Computer Science | Applied Mathematics; Data Science; Engineering; Machine Learning/AI | Phase-Field Modeling Additive Manufacturing Machine Learning Deep Reinforcement Learning Path Planning |
| Vijayalakshmi | Saravanan | University of Texas at Tyler | Electrical and Computer Engineering | Computer Science; Data Science; Engineering; Machine Learning/AI; Materials Science | HPC; Scientific workloads; AI;Containerization |
| Jinghao | Yang | The University of Texas Rio Grande Valleyu | Electrical and Computer Engineering | Computer Science; Engineering; Machine Learning/AI | Smart Manufacturing, AI, Digital Twin, Computer Vision, Intelligent Autonomous Sensing System |
| Mustafa | Al Lail | Texas A&M International University | School of Engineering | Applied Mathematics; Computer Science; Data Science; Engineering; Machine Learning/AI; Mathematics | Artificial Intelligence; Machine Learning; Scientific Computing; HPC Kernels; Predictive Modeling; Cybersecurity & Access Control; Software Engineering |
| Sabrina | Perry | Austin Peay State University | Computer Science and Information Technology | Computer Science; Data Science; Machine Learning/AI | Trustworthy AI, Cybersecurity, Data Poisoning, HPC, Watermarking |
| Liwen | Shih | U of Houston - Clear Lake | Computer Engineering | Computer Science; Data Science; Machine Learning/AI; other | QAI HPC Synergy => Energy/Data/Speed/Discovery 1. QAI^HPC Workflow Scheduling; 2. Q<=>AI Duality => Discover Theory/Constraints/Model; 3. Q^GenerativeAI/Q^StableDiffusion; 4. Q^BM/Q^AI/Q^ML; 5. Q^QuickProp/Q^GradientDecent; 6. QAI Solution/Training Hub: Space/Energy/Biomed/Eco/Logistic/Port/Transportation. |
| Ovais | Khan | Schreiner University | Engineering | Engineering | High-resolution numerical schemes Shock/boundary layer interaction Magneto-hydrodynamics Machine Learning Model for Nusselt Number |
| Rubaiya | Murshed | Embry-Riddle Aeronautical University | Mechanical Engineering | Engineering; Materials Science; other | Engineering Education; Artificial Intelligence; Pedagogy; instructional development; faculty development; classroom technology |
| Amneet Pal | Bhalla | San Diego State University | Mechanical Engineering | Applied Mathematics; Engineering; Mathematics | Computational Fluid Dynamics; Multiphase Flows; Numerical Methods; Partial Differential Equations |
| Dazhi | Yang | Boise State University | Educational Leadership, Research, and Technology | Machine Learning/AI; other | STEM learning; Technology; Engineering education; AI in education; Instructional design; Online and eLearning; Computing; Societal impact; Interdisciplinary; Mixed-methods research; |
| Feng | Yu | University of Texas at El Paso | Mathematical Sciences | Applied Mathematics; Data Science; Engineering; Machine Learning/AI; Mathematics | high-dimensional statistics; robust statistics; non-convex optimization; Secure machine learning |
| Siqing | Wei | Youngstown State University | Engineering | Engineering; Machine Learning/AI | educational research; engineering design; design principles; GenAI |
| Naw Safrin | Sattar | Meharry Medical College | Computer Science and Data Science, School of Applied Computational Sciences | Computer Science; Data Science; Machine Learning/AI; other | HPC; Multi-GPU; Parallel Algorithms; Scalable AI; Generative AI / LLMs; Large Complex Network Modeling; Urban Systems; Geospatial AI; Health Informatics; |
| Michael | Pokojovy | Old Dominion University | Department of Mathematics and Statistics | Applied Mathematics; Data Science; Machine Learning/AI; other | Optimal control; reinforcement learning; PINN; deep Pontryagin principle; Gaussian process surrogates; non-convex optimization; Frank-Wolfe gradient descent; cluster analysis; nonparametric regression |
| Hailong | Jiang | Youngstown State University | Computer Science and Information System | Computer Science; Machine Learning/AI | Large Language Model, LLVM IR, MLIR, HPC, Compiler Optimization |
| Kedan | He | Eastern Connecticut State University | Physical Sciences | Chemistry; Machine Learning/AI | Polypharmacy; Drug-Drug Interactions (DDIs); Multi-Target Drug Design; Computational Pharmacology; AI/Machine Learning in Drug Discovery; Disease Module Networks; Precision Medicine |
| MD | KABIR | Philander Smith University | Computer Science | Computer Science; Data Science; Machine Learning/AI | Deep Learning; Machine Learning; LSTM; Transformer; RNN; Data Science; Model Robustness; Sequence Modeling; Applied AI; Financial Prediction; Health Data Analytics |
| Tejas | Gokhale | University of Maryland, Baltimore County | Computer Science and Electrical Engineering | Computer Science; Engineering; Machine Learning/AI | video understanding; multimodal retrieval; multimodal claim extraction; machine learning; computer vision; natural language processing; robustness; compositionality |
| Bogdan | Gavrea | Arizona State University | School of Mathematical and Natural Sciences | Applied Mathematics; Machine Learning/AI; Mathematics | numerical optimization; differential complementarity problems; large language models; control barrier functions; rigid body systems |
| Changqing | Cheng | Binghamton UNiversity | Systems Science and Industrial Engineering | Engineering | Network resilience; Graph learning; Inverse learning; generative design |
