Gianluca Furano
researcher
Facts
9 properties- Instance of
- human
- Country of citizenship
- Netherlands[2]
- Occupation
- researcher
- Employer
- European Space Research and Technology Centre (2003–present)[3]
- Educated at
- Tor Vergata University of Rome (1998–2002)[4]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en G. Furano
en Gianluca Furano
🔖 Identifiers · 5
- ORCID iD
- 0000-0001-7624-1415
- OpenAlex ID
- A5009045604as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 157/9040
- IEEE Xplore author ID
- 37075468200
- Scopus author ID
- 6603825057
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 11
Accelerated Radiation Test on Quantized Neural Networks trained with Fault Aware Training,
Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities,
A European Roadmap to Leverage RISC-V in Space Applications,
AI in space: applications examples and challenges,
An FPGA-Based Hardware Accelerator for CNNs Inference on Board Satellites: Benchmarking with Myriad 2-Based Solution for the CloudScout Case Study,
Efficient Star Identification Using a Neural Network,
High-Performance Embedded Computing in Space: Evaluation of Platforms for Vision-Based Navigation,
On-Board Decision Making in Space with Deep Neural Networks and RISC-V Vector Processors
+3 more
← Authored by 11
Accelerated Radiation Test on Quantized Neural Networks trained with Fault Aware Training,
Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities,
A European Roadmap to Leverage RISC-V in Space Applications,
AI in space: applications examples and challenges,
An FPGA-Based Hardware Accelerator for CNNs Inference on Board Satellites: Benchmarking with Myriad 2-Based Solution for the CloudScout Case Study,
Efficient Star Identification Using a Neural Network,
High-Performance Embedded Computing in Space: Evaluation of Platforms for Vision-Based Navigation,
On-Board Decision Making in Space with Deep Neural Networks and RISC-V Vector Processors
+3 more
Affiliated with 2
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