Eirinakis Pavlos

Eirinakis Pavlos is an Associate Professor at the Department of Industrial Management & Technology, University of Piraeus. His affiliations include the Maritime and Industrial Studies school. He specializes in analytical methods in industrial systems and optimization techniques. His research focuses on digital twins, reconfigurable manufacturing systems, and maritime logistics optimization. Pavlos' work integrates advanced technologies like machine learning and cyber-physical systems to enhance industrial processes and supply chain resilience.

Research interests span manufacturing systems optimization, energy-efficient robotics, and emissions control in maritime industries. He explores algorithmic solutions for collaborative logistics and mathematical programming under uncertainty. His recent work emphasizes cognitive digital twins for production resilience and modular manufacturing architectures.

Publications highlight contributions to digital twin applications, stochastic optimization, and maritime big data analytics. His articles often bridge theoretical optimization frameworks with practical industrial challenges, such as LPG production quality control and cargo loss prevention via AIS-enabled systems.

Pavlose@unipi.gr is his official contact. His office is located at 503/Delig. No listed scientific awards or advising students are mentioned in the provided texts.