LOA ALTIMOS, Calif., 8 October 2025 – The IEEE Computer Society (IEEE CS) and the Association for Computing Machinery (ACM) announced today that Yanfan Huang of the University of Iowa and Ana Luisa Veroneze Solorzano of Northeastern University are the recipients of the 2025 ACM/IEEE CS George Michael Memorial High Performance Computing Fellowship.
Yanfan Huang, University of Iowa
Huang was named the 2025 Fellow for his high performance computing (HPC) research excellence and plans to enhance and advance the field. As a doctoral candidate in computer science, he has been engaged in research in the area of HPC and is cited for his efforts in “advancing exascale HPC by creating ultra-fast lossy compression algorithms and versatile program-agnostic fault tolerance.”
His extensive work and research have addressed the challenges of data management and resilience and correctness around HPC systems. Huang has developed novel techniques that go beyond traditional error detection approaches by considering complex fault patterns and enabling rapid detection mechanisms that minimize computational overhead. His groundbreaking contributions have enabled him to be featured in top conferences and even earned him Best Paper Finalist and Best Student Paper Finalist at SC22 and Best Student Paper Finalist and SC25 SCC Reproducibility Challenge Paper Finalist at SC24. He has plans to build on this work, investigating large language model (LLM) inference to predict and mitigate soft-error propagation, which could serve as foundational work for a long-term research program unifying data reduction and resilience for future LLM/artificial intelligence- (AI-) centric HPC.
“With the growing scale of supercomputers, soft errors can pose a serious threat to the reliability of HPC computing,” said Kathryn Mohror, George Michael Memorial HPC Fellowship Selection Committee. “Yanfan Huang’s work recognizes this and continues to challenge the status quo and push the limits of what’s possible. We applaud his efforts to date and look forward to what’s next for him and the long-term impact it will certainly have on HPC.”
Ana Luisa Veroneze Solorzano, Northeastern University
Solorzano was named a 2025 Fellow for her work to broaden the societal impact of HPC using privacy-preserving and incentive-driven mechanisms.
As a doctoral student at Northeastern University, Solorzano’s work has led her to collaborate with Argonne National Laboratory on confidential computing, where she has explored trusted execution environments (TEE) hosted in a testbed using an AMD-SEV solution for data encryption in memory. She’s also worked with the RIKEN Center for Computational Science (RCCS) on their user-incentive based program for energy savings. The program motivates system administrators to share the responsibility on energy consumption and avoid energy increase during the high peak seasons, rewarding users with points when using less power.
Solorzano has also pursued efforts to bring solutions to enhance data sharing of HPC traces to make data more available to the research community, especially for those without access to leading supercomputers. She has plans to continue that research path, investigating the inequities of HPC resources access and its environmental impact, leveraging use of generative AI and explainability techniques for data democratization to do so.
“The selection committee is honored to award Solorzano this Fellowship,” said Mohror. “Her work is unique with the potential to create a new subarea in HPC: secure and privacy-aware HPC that can lower the barrier to entry for data sharing. We’re thrilled the Fellowship can help advance her ideas and look forward to the impact her work may have on the greater industry.”
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