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Golias, Mihalis

Department
Department of Shipping  
Faculty
Faculty of Management and Economics  
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Preferred name
Golias, Mihalis
Translated Name
Golias Mihalis M.
Recruitment Date
July 1, 2024
Position
Professor
Department
Department of Shipping  
Faculty
Faculty of Management and Economics  
Email
michail.gkolias@cut.ac.cy
Research Interests

Maritime Transport

Optimization

Supply Chain and Logi...

Freight Tansportation...

business

decision

engineering

multidisciplinary

ORCID
0000-0001-9402-2996
Scopus Author ID
57195753116
Researcher ID
LNQ-4555-2024
Main Affiliation
CUT
Google Scholar
https://scholar.google.com/citations?user=418c6V0AAAAJ&hl=en
Status
staff
Biography
Dr. Mihalis Golias Ph.D., IMPE, AMPE is a professor of Supply Chain Network Design at the Cyprus University of Τechnology. He holds a PhD and MSc from Rutgers, The State University of New Jersey and a MSc/BS in Civil and Environmental Engineering from Aristotle University of Thessaloniki. He served as the Chair of the Ports and Channels Committee of the Transportation Research Board (TRB), National Academies of Science from 2015 to 2021 and is currently a member of the Marine Environment Committee of the TRB. His research and teaching interests lie in the areas of Supply Chain and Logistics with a primary focus on Freight and Maritime Transport with a proven publication and citation record. The core of his research develops mathematical and simulation models using cooperative and non-cooperative game theory to predict and optimize the behavior of the various supply chain stakeholders by utilizing market-based mechanisms. He has over 20 years of experience collaborating and partnering with the industry (i.e., FedEx, Ryder, IMC) and non-profit organizations (e.g., IAMPE, ATRI), and has successfully secured funding from government institutions (e.g., FHWA, USDOT, State DOTs) and the industry (i.e., FedEx, Ryder, IMC). Through his research he has developed models and data analytics tools to identify opportunities for investment (capital and operational) that take full advantage of the available network capacity while increasing efficiency, safety, resiliency, and, at the same time, reducing negative externalities from freight movements by supporting the development of co-modal supply chain networks where all modes are utilized in a co-opetitive environment to optimize multiple objectives.
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