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About

Nikolaos Nikolakis is a researcher whose work sits at the intersection of human-robot collaboration, cyber-physical systems, and intelligent manufacturing. He has made significant contributions to the design and implementation of frameworks that enable safe, efficient cooperation between humans and robots in shared industrial workspaces. His most cited work, "A Cyber Physical System (CPS) Approach for Safe Human-Robot Collaboration in a Shared Workplace" (2018, 214 citations), established foundational principles for integrating sensing, computation, and control to protect human workers while maximizing collaborative productivity. Nikolakis has also advanced the field of dynamic scheduling, developing methodologies that allow human-robot teams to adapt task assignments in real time, as demonstrated across several 2018 publications totaling over 100 additional citations. Beyond shop-floor collaboration, his research extends into cloud-to-edge computing architectures and microservice-based platforms for predictive maintenance and analytics in industrial settings, reflecting a strong interest in making smart manufacturing infrastructure scalable and practically deployable. His 2019–2020 work on fog and cloud computing approaches underscores his commitment to bridging data science with real-world production environments. Collectively, his portfolio demonstrates a researcher shaping the future of intelligent, human-centered manufacturing systems.