Ángeles Navarro
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Full Professor
Faculty Researcher
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Biography and Research Information
OverviewAI-generated summary
Ángeles Navarro's research focuses on high-performance computing, particularly in heterogeneous systems that combine CPUs, GPUs, and FPGAs. Her work investigates efficient scheduling and optimization techniques for complex computational tasks. Recent publications explore asynchronous scheduling in reconfigurable systems, optimized matrix profile computations on CPU-FPGA architectures, and streaming computations for skyline problems using SYCL. Navarro has also contributed to the field of epileptic seizure detection through pattern augmentation and feature analysis. Her research extends to optimizing LiDAR data processing for CPU and GPU architectures, and exploring the use of SYCL for computing dynamic time warping on various hardware platforms. With 130 publications and an h-index of 19, Navarro is an established researcher in the field of computer architecture and parallel computing.
Metrics
- h-index: 19
- Publications: 130
- Citations: 1,015
Selected Publications
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P-1603. Is it Time to Abandon Intravascular Catheter Tip Cultures for the Diagnosis and Management of Central Line-Associated Bloodstream Infections (CLABSIs)? (2025)
Collaboration Network
Top Collaborators
- P-1603. Is it Time to Abandon Intravascular Catheter Tip Cultures for the Diagnosis and Management of Central Line-Associated Bloodstream Infections (CLABSIs)?
- P-1603. Is it Time to Abandon Intravascular Catheter Tip Cultures for the Diagnosis and Management of Central Line-Associated Bloodstream Infections (CLABSIs)?
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