Antonio de la Oliva
Papers
13
Total Citations
344
H-Index
6
About
Antonio de la Oliva is a prominent researcher at the intersection of edge computing, robotics, and Industrial Internet of Things (IIoT), with a particular focus on Digital Twin technologies and next-generation network architectures. His most influential work, "Toward Intelligent Cyber-Physical Systems: Digital Twin Meets Artificial Intelligence" (2021, 143 citations), established him as a leading voice in Industry 4.0, demonstrating how artificial intelligence can be harnessed to power smarter, more autonomous industrial processes. Building on this foundation, de la Oliva has made significant contributions to edge robotics, proposing intelligent edge-based Digital Twin frameworks and rigorously evaluating the readiness of cloud and edge paradigms for real-world robotic deployments. His research consistently bridges cutting-edge networking technologies — including 5G, Network Function Virtualization (NFV), and Multi-Access Edge Computing (MEC) — with practical industrial applications, from remote robotic control to energy-aware orchestration. His work on time-sensitive communications and VNF placement further reflects a commitment to solving latency and reliability challenges in volatile wireless environments. With hundreds of citations across a decade of research, de la Oliva's contributions are shaping the infrastructure of tomorrow's intelligent, connected factories.
Research Focus
Key Achievements
Top Papers
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- 3An Intelligent Edge-based Digital Twin for Robotics52 citations · 2020
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- 8Time-Sensitive IIoT Flows Over Wi-Fi: A Network Calculus Approach3 citations · 2025
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