Ángeles Navarro Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Full Professor
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Biography and Research Information
OverviewAI-generated summary
Ángeles Navarro is a researcher whose work has focused on computational methods for data processing and analysis, particularly within heterogeneous computing environments. Her recent publications explore optimizations for systems combining CPUs with FPGAs and GPUs, utilizing frameworks like SYCL and FlowGraph. These studies address challenges in areas such as asynchronous scheduling, skyline computation, and the efficient processing of large datasets like LiDAR data. Navarro has also investigated specific applications, including the detection of epileptic seizures using augmented patterns and features. Her scholarship metrics include an h-index of 19 and over 1,000 citations across 136 publications. Her most recent work was published in 2025, indicating recent activity in her research.
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
- Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM
- Lightweight asynchronous scheduling in heterogeneous reconfigurable systems
- SkyFlow: Heterogeneous streaming for skyline computation using FlowGraph and SYCL
- PaFESD: Patterns Augmented by Features Epileptic Seizure Detection
- CPU and GPU oriented optimizations for LiDAR data processing
Showing 5 of 8 shared publications
- Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM
- Lightweight asynchronous scheduling in heterogeneous reconfigurable systems
- SkyFlow: Heterogeneous streaming for skyline computation using FlowGraph and SYCL
- Exploring data flow design and vectorization with oneAPI for streaming applications on CPU+GPU
- Leveraging SYCL for Heterogeneous cDTW Computation on CPU, GPU, and FPGA
- Computing DTWs on CPU, GPU and FPGA with SYCL
- Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM
- SkyFlow: Heterogeneous streaming for skyline computation using FlowGraph and SYCL
- PaFESD: Patterns Augmented by Features Epileptic Seizure Detection
- CPU and GPU oriented optimizations for LiDAR data processing
- Leveraging SYCL for Heterogeneous cDTW Computation on CPU, GPU, and FPGA
- Computing DTWs on CPU, GPU and FPGA with SYCL
- Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM
- Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM
- Diffuse trophoblast damage is the hallmark of SARS-CoV-2-associated foetal demise
- Diffuse trophoblast damage is the hallmark of SARS-CoV-2-associated foetal demise
- Diffuse trophoblast damage is the hallmark of SARS-CoV-2-associated foetal demise
- Diffuse trophoblast damage is the hallmark of SARS-CoV-2-associated foetal demise
- Diffuse trophoblast damage is the hallmark of SARS-CoV-2-associated foetal demise
- Diffuse trophoblast damage is the hallmark of SARS-CoV-2-associated foetal demise
- Diffuse trophoblast damage is the hallmark of SARS-CoV-2-associated foetal demise
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