FPAI-HPC'26The 3rd Workshop onFederated and Privacy-Preserving AI for HPC

Sahil Tyagi is a postdoctoral research associate in ORNL's Analytics and AI Methods at Scale group. His work explores distributed and federated machine learning, with an emphasis on efficient training across heterogeneous clusters and unpredictable networks.

Olivera Kotevska is a senior research scientist in ORNL's Computer Science and Mathematics Division. Her research focuses on machine learning, secure AI, privacy-preserving technologies, and their use in scientific applications.

Georgia Tourassi is Associate Laboratory Director of ORNL's Computing and Computational Sciences Directorate. Her research spans high-performance computing and artificial intelligence in biomedicine, and her leadership helped deliver Frontier, the first exascale system dedicated to open science.

Feiyi Wang leads ORNL's Analytics and AI Methods at Scale group. His research interests include large-scale data analytics, distributed machine learning and benchmarking, high-performance storage systems, parallel I/O, and file systems.

Chandreyee Bhowmick researches resilient distributed machine learning systems that remain trustworthy under failures, attacks, and communication constraints. Her work combines ideas from machine learning, systems, and control to build reliable and scalable learning methods.

Jason Haga is a chief senior researcher at AIST. His research covers immersive visualization and analytics, user experience and interfaces, applied artificial intelligence, and edge computing.

Ravi Madduri is a computer scientist at Argonne National Laboratory whose work brings together high-performance computing, artificial intelligence, and biomedicine. He develops scalable, reproducible, and privacy-preserving approaches for data-intensive scientific research.

Truong Thao Nguyen is a researcher at AIST specializing in high-performance computing, interconnection networks, distributed computing, and large-scale distributed deep learning.

John Gounley is a computational scientist at ORNL and leads the Scalable Biomedical Modeling group. His research focuses on scalable algorithms for biomedical simulations and data, including language models, distributed deep learning, and privacy-enhancing technologies.

Ziyue Xu is a senior scientist at NVIDIA. His research focuses on image analysis and computer vision for biomedical and clinical imaging, including shape modeling, graph methods, machine learning, and federated learning.