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Dr. Sofoclis ZAMBIRINIS

Researcher

Biography

ORCID: 0000-0002-1095-0590 

Dr. Sofoclis Zambirinis is a Post-Doctoral Researcher at ERATOSTHENES CoE, in the Department of Big Earth Data Analytics. He holds a B.Sc. in Mathematics (University of Athens, 2009, GPA 9.4/10, top 1% of his class), an M.Phil. in Statistical Science (University of Cambridge, 2010), and a Ph.D. in Management Science (Lancaster University, 2019), with a specialization in optimization in vehicle routing and scheduling. Before joining ERATOSTHENES CoE, he worked as a mathematics teacher in Paphos from 2010 to 2019. He also worked as a part-time teaching assistant at Neapolis University Pafos (2012-2013), as a lecturer in statistics (2017), and as a data scientist and consultant for Electi Consulting Limited in Limassol (2018-2019). After a brief period of employment with the Cyprus Government (2019-2020), he pursued a post-doctoral research position in network data science at the Cyprus University of Technology (2/2021-9/2023). Subsequently, he served as a Lecturer in Operations Management and Business Analytics at the American University of Beirut-Mediterraneo, Cyprus (9/2023-1/2024), and as a Lecturer in Mathematics and Statistics at the American University of Cyprus (9/2023-2/2024). During his doctoral studies, his research interests included mathematical programming, combinatorial optimization, multi-objective optimization, metaheuristic algorithms, vehicle routing and scheduling problems, and disruption management. His post-doctoral research focuses on time-varying hyperbolic geometric graphs, temporal networks, network geometry, and more generally, complex networks. 

This project has received funding from the Government of the Republic of Cyprus through the “Directorate General for European Programmes, Coordination and and Development”.
This project has received funding from the European Union’s “Horizon 2020 Research and Innovation Programme” under Grant Agreement No 857510”.
This project is co-funded by the Cyprus University of Technology.
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