Ángeles Navarro Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Full Professor

University of Arkansas at Fayetteville

faculty

19 h-index 136 pubs 1,008 cited

Research Areas

Parallel Computing and Optimization Techniques Advanced Neural Network Applications Semiconductor materials and devices Advancements in Semiconductor Devices and Circuit Design Natural Language Processing Techniques

Links

ORCID

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OverviewAI-generated summary

Ángeles Navarro, a Full Professor at the University of Arkansas at Fayetteville, focuses her research on the development and optimization of computing systems, particularly for heterogeneous and reconfigurable architectures. Her recent work explores efficient scheduling algorithms, high-performance computing techniques for data processing, and the application of SYCL for parallel computation across CPUs, GPUs, and FPGAs. Navarro has investigated optimizations for LiDAR data processing and developed methods for epileptic seizure detection. Her publications include studies on lightweight asynchronous scheduling, matrix profile computation on combined CPU and FPGA systems, and streaming algorithms for skyline computation. With an h-index of 19 and over 1,000 citations across 136 publications, her research contributes to advancements in high-performance computing and specialized data analysis.

Metrics

  • h-index: 19
  • Publications: 136
  • Citations: 1,008

Selected Publications

  • P-1603. Is it Time to Abandon Intravascular Catheter Tip Cultures for the Diagnosis and Management of Central Line-Associated Bloodstream Infections (CLABSIs)? (2025) DOI

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