Anis El Gabli
Papers
1
Total Citations
19
H-Index
1
About
Anis El Gabli is a leading researcher at the intersection of intelligent systems, edge computing, and trustworthy artificial intelligence. His work focuses on optimizing performance-energy tradeoffs in Intelligent IoT Environments (iIoTe), where heterogeneous devices collaborate to execute semi-autonomous applications such as automated manufacturing cells and autonomous harvesting machines. His most-cited paper, "Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs" (2021, 19 citations), provides foundational insights into balancing computational efficiency with energy constraints in edge environments. El Gabli’s contributions are critical for enabling reliable, low-latency decision-making in resource-constrained IoT systems, addressing the growing need for sustainable and secure AI at the edge. His research has practical implications for smart agriculture, industrial automation, and next-generation cyber-physical systems. By advancing the understanding of how learning and computing can coexist with energy limitations, El Gabli is shaping the future of trustworthy, efficient IoT deployments.
Research Focus
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Top Papers
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