Daniel Faustino Lacerda de Souza

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About

Daniel Faustino Lacerda de Souza is a leading researcher at the forefront of Digital Twin (DT) technology and its integration with autonomous systems for Industry 4.0. His work centers on developing federated, cognitive frameworks that enable DTs to operate independently while collaborating across distributed environments. His most notable contribution, the DARLING architecture, introduces a novel approach for creating autonomous and cognitive digital twins that can make decentralized decisions, bridging the gap between simulation and real-time operational control. This work has already garnered attention, with his 2025 paper on the topic receiving early citations, signaling its growing influence in the field. By addressing key challenges in scalability, interoperability, and intelligence within DT ecosystems, de Souza is shaping how industries—from manufacturing to healthcare and aerospace—leverage these tools for predictive analytics and adaptive decision-making. His research not only advances theoretical foundations but also offers practical pathways for implementing next-generation digital twins, making him a pivotal figure in the evolution of smart, autonomous industrial systems.