Iraklis Lazakis

Iraklis Lazakis

University of Strathclyde

H-index: 27

Europe-United Kingdom

About Iraklis Lazakis

Iraklis Lazakis, With an exceptional h-index of 27 and a recent h-index of 24 (since 2020), a distinguished researcher at University of Strathclyde, specializes in the field of Operations and maintenance, Predictive analytics, Risk/reliability, maritime and offshore renewables.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

Comparison of Operation and Maintenance of Floating 14 MW Turbines and Twin 10 MW Turbines

Reliability study of alternative fuels used for a ferry's plant efficiency

Component criticality analysis for improved ship machinery reliability

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

Development of a novel integrated value engineering and risk assessment (VENRA) framework for shipyard performance measurement: a case study for an Indonesian shipyard

Mar-RUL: A remaining useful life prediction approach for fault prognostics of marine machinery

Iraklis Lazakis Information

University

Position

Dpt of Naval Architecture and Marine Engineering

Citations(all)

2796

Citations(since 2020)

2092

Cited By

1291

hIndex(all)

27

hIndex(since 2020)

24

i10Index(all)

53

i10Index(since 2020)

44

Email

University Profile Page

University of Strathclyde

Google Scholar

View Google Scholar Profile

Iraklis Lazakis Skills & Research Interests

Operations and maintenance

Predictive analytics

Risk/reliability

maritime and offshore renewables

Top articles of Iraklis Lazakis

Title

Journal

Author(s)

Publication Date

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

Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment

Imam Baihaqi

Iraklis Lazakis

Heri Supomo

2024/1/12

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

Machines

Abdullahi Abdulkarim Daya

Iraklis Lazakis

2024/5

Comparison of Operation and Maintenance of Floating 14 MW Turbines and Twin 10 MW Turbines

James Land

Alistair Lee

Iraklis Lazakis

Camilla Thomson

2023

Reliability study of alternative fuels used for a ferry's plant efficiency

SNAME student section

Iraklis Lazakis

Thomas Kourakos

2023/7/26

Component criticality analysis for improved ship machinery reliability

Machines

Abdullahi Abdulkarim Daya

Iraklis Lazakis

2023/7/13

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

WMU Journal of Maritime Affairs

Iraklis Lazakis

Robert Van Der Meer

2023/12

Development of a novel integrated value engineering and risk assessment (VENRA) framework for shipyard performance measurement: a case study for an Indonesian shipyard

Ships and Offshore Structures

Imam Baihaqi

Iraklis Lazakis

Rafet Emek Kurt

2023/6/24

Mar-RUL: A remaining useful life prediction approach for fault prognostics of marine machinery

Applied Ocean Research

Christian Velasco-Gallego

Iraklis Lazakis

2023/11/1

Methodology to prepare for UK’s offshore wind Contract for Difference auctions

Applied Energy

Nicholas P Kell

Ernesto Santibanez-Borda

Thomas Morstyn

Iraklis Lazakis

Ajit C Pillai

2023/4/15

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

Christian Velasco-Gallego

Beatriz Navas De Maya

Clara Matutano Molina

Iraklis Lazakis

Nieves Cubo Mateo

2023/9/15

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

Ocean Engineering

Abdullahi Abdulkarim Daya

Iraklis Lazakis

2023/3/15

Integrated Value Engineering and risk assessment performance measurement framework in ship-manufacturing industry towards net zero emissions using fuzzy DEMATEL-AHP

Machines

Imam Baihaqi

Iraklis Lazakis

Heri Supomo

2023/8/3

Analysis of variational autoencoders for imputing missing values from sensor data of marine systems

Journal of Ship Research

Christian Velasco-Gallego

Iraklis Lazakis

2022/9/28

Investigating ship system performance degradation and failure criticality using FMECA and Artificial Neural Networks

AA Daya

I Lazakis

2022/6/7

A novel framework for imputing large gaps of missing values from time series sensor data of marine machinery systems

Ships and Offshore Structures

Christian Velasco-Gallego

Iraklis Lazakis

2022/8/3

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

Ships and Offshore Structures

Michail Cheliotis

Iraklis Lazakis

Angelos Cheliotis

2022/12/2

Dealing with uncertainty while developing bid strategy for CfD auctions

NP Kell

E Santibanez-Borda

T Morstyn

I Lazakis

AC Pillai

2022

Committee V. 7: Structural Longevity

P Hess

S Aksu

M Vaz

G Feng

L Li

...

2018

PREONA: a data pre-processing tool for marine systems sensor data

Christian Velasco

Iraklis Lazakis

2022/11/9

A semi automated model for improving naval vessel system reliability and maintenance data management

RINA Autonomous Ships conference 2022

Abdullahi A Daya

Iraklis Lazakis

2022/4/1

See List of Professors in Iraklis Lazakis University(University of Strathclyde)