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About

Lazaros Iliadis is a prominent researcher specializing in artificial intelligence, computational intelligence, and their practical applications across scientific and engineering domains. His work sits at the intersection of machine learning, neural networks, fuzzy computing, and deep learning, with a particular focus on translating advanced AI methodologies into real-world solutions that benefit science, industry, and the broader economy. Iliadis has made significant contributions to the field through his sustained involvement in organizing and publishing landmark conference proceedings, most notably through the EANN (Engineering Applications of Neural Networks) series, which has served as a key international forum for AI research. His edited volumes under the "Artificial Intelligence Applications and Innovations" banner have helped shape discourse in the field, accumulating citations that reflect their lasting influence on the research community. His 2023 survey on computational intelligence in civil engineering underscores his commitment to bridging disciplines, demonstrating how machine learning, deep learning, and fuzzy computing can deliver tangible value within specialized engineering fields. With a body of work spanning over a decade, Iliadis has established himself as a dedicated advocate for applied AI research, fostering collaborative scholarship and helping guide the next generation of researchers toward innovative, impactful applications.