Iraklis Lazakis

University Of Strathclyde

United Kingdom

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Articles (15)

Year:

2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

Year:

2022

Collaborators (5)

Thomas Morstyn

Lecturer of Power Electronics and Smart Grids

University of Edinburgh

UNITED KINGDOM

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Clara Matutano Molina

Profesora Titular e Investigadora

Universidad Antonio de Nebrija

SPAIN

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Christian Velasco-Gallego

Nebrija University

SPAIN

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Rafet Kurt

University Of Strathclyde

UNITED KINGDOM

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Robert B. Van der Meer

University Of Strathclyde

UNITED KINGDOM

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Iraklis Lazakis

Research Interests

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Articles (15)

Development of a data pre-processing tool for marine systems sensor data

Advancements and challenges of onboard carbon capture and storage technologies for the maritime industry

A novel shipyard performance measurement approach through an integrated Value Engineering and Risk Assessment (VENRA) framework using a hybrid MCDM tool

Development of a Hierarchical Clustering Method for Anomaly Identification and Labelling of Marine Machinery Data

Systems reliability and data driven analysis for marine machinery maintenance planning and decision making

Mar-RUL

Recent advancements in data-driven methodologies for the fault diagnosis and prognosis of marine systems

Integrated Value Engineering and Risk Assessment Performance Measurement Framework in Ship-Manufacturing Industry towards Net Zero Emissions Using Fuzzy DEMATEL-AHP

Component Criticality Analysis for Improved Ship Machinery Reliability

Development of a novel integrated value engineering and risk assessment (VENRA) framework for shipyard performance measurement

Organisational structure configurations, their application and contribution to business performance in Greek shipping companies

Comparison of operation and maintenance of floating 14MW turbines and twin 10MW turbines

Methodology to prepare for UK’s offshore wind contract for difference auctions

Developing an advanced reliability analysis framework for marine systems operations and maintenance

Bayesian and machine learning-based fault detection and diagnostics for marine applications

Collaborators (5)

Thomas Morstyn

Clara Matutano Molina

Christian Velasco-Gallego

Rafet Kurt

Robert B. Van der Meer

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