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About

Imen Ben Lahmar is a leading researcher at the intersection of the Internet of Robotic Things (IoRT) and business process management, with a focus on enabling intelligent automation for Industry 4.0. Her work centers on developing model-based and decision-making frameworks that allow enterprises to design, execute, and optimize IoRT-aware business processes—where IoT-enhanced robotic systems collaborate to automate complex tasks. She has pioneered a meta-modeling approach for representing these processes, a context-aware resource allocation method using decentralized multi-agent reinforcement learning, and a decision-making model for outsourcing IoRT-aware workflows. Her contributions, cited over 14 times across key publications (2022–2024), provide foundational tools for transforming and verifying IoRT-aware processes, ensuring both efficiency and reliability. Notably, her 2024 paper on multi-agent reinforcement learning offers a scalable solution for dynamic resource management, while her earlier work on meta-modeling establishes a formal basis for process design. Ben Lahmar’s research is vital for practitioners and scholars seeking to harness IoRT for agile, cost-effective industrial automation.