Scholar
Robert Underwood
Google Scholar ID: GbhfWUIAAAAJ
Assistant Computer Scientist, Argonne National Laboratory
Data for AI for Science
Lossy Compression
Distributed Computing
Reliable Computer Infrastructure
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Citations & Impact
All-time
Citations
625
H-index
12
i10-index
16
Publications
20
Co-authors
20
list available
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Publications
11 items
Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices
2026
Cited
0
SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs
2026
Cited
0
pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression
arXiv.org · 2026
Cited
0
FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data
arXiv.org · 2026
Cited
0
DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction
2025
Cited
0
Exploring Distributed Vector Databases Performance on HPC Platforms: A Study with Qdrant
2025
Cited
0
Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models
2025
Cited
0
Lossy Compression of Scientific Data: Applications Constrains and Requirements
2025
Cited
0
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Resume (English only)
Co-authors
20 total
Sheng Di
Argonne National Labratory, IEEE Senior Member
Franck Cappello
Argonne National Laboratory, IEEE Fellow
Jon Calhoun
Associate Professor Clemson University
Kai Zhao
Florida State University
Dingwen Tao
Chinese Academy of Sciences, IEEE/ACM Senior Member
Xin Liang
University of Kentucky
Jiannan Tian
Assistant Professor, Oakland University
Sian Jin
Temple University
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