Tambouratzis Tatiana

Tambouratzis Tatiana is an Associate Professor at the Department of Industrial Management & Technology, University of Piraeus. She specializes in applying computational intelligence techniques to complex systems, with a focus on environmental sustainability, nuclear engineering, and advanced manufacturing. Her work bridges theoretical research with practical applications in areas such as artificial neural networks, genetic algorithms, and decision-making models.

Her research interests encompass sustainability index development, nuclear reactor diagnostics, and optimization strategies for environmental performance. She has extensively explored the reliability and reproducibility of sustainability metrics, contributing to improved methods for country-level environmental evaluations. Tambouratzis also investigates material selection in sustainable product design and innovative applications of soft computing in fields like traffic accident prediction and optical music recognition systems.

Her publications demonstrate a strong focus on interdisciplinary solutions, combining artificial intelligence with domain-specific challenges. Recent work includes studies on 3D printing distortion analysis using neural networks and adaptive sustainability maximization through evolutionary strategies.

Notably, she has collaborated on projects such as reactor diagnostics monitoring at Ringhals and developed methodologies for non-invasive flow regime identification in nuclear systems. Her research emphasizes real-world applicability, with applications ranging from energy systems to environmental policy frameworks.

No scientific awards or current grants are explicitly mentioned in the provided materials. She maintains an active academic presence through teaching and research in the Industrial Management & Technology domain.