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About

Gregoris Mentzas is a leading researcher at the intersection of artificial intelligence, data science, and industrial engineering. His work primarily focuses on data-driven decision-making, with a significant emphasis on the application of AI and machine learning to Industry 4.0, particularly in predictive maintenance and manufacturing operations. His most cited work, a comprehensive review of data-driven methods for Industry 4.0 maintenance applications, has garnered 298 citations, underscoring its role as a foundational resource for researchers and practitioners seeking to leverage sensor data and algorithms for real-time, proactive decision-making in smart factories. Beyond this, his research spans semantic web technologies, knowledge management, and e-government, reflecting a broad interest in how intelligent systems can enhance organizational efficiency. Mentzas has also contributed to the broader AI community, as evidenced by his involvement in the AAAI Spring Symposium Series. His work is highly influential, providing both theoretical frameworks and practical guidance for harnessing data to optimize complex industrial processes, making him a key figure in the ongoing digital transformation of manufacturing.