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Pentti Kujala

Pentti Kujala

D-Index & Metrics

Engineering and Technology

D-Index
54
Citations
10588
World Ranking
3211
National Ranking
16

Overview

Pentti Kujala is affiliated with Aalto University in Finland and has an extensive publication record in the fields of Engineering and Earth and Planetary Sciences. Their research primarily focuses on Ocean Engineering, Atmospheric Science, Mechanical Engineering, Aerospace Engineering, and Environmental Engineering.

The scientist's work covers a range of main topics including Maritime Navigation and Safety, Arctic and Antarctic ice dynamics, Structural Integrity and Reliability Analysis, Ship Hydrodynamics and Maneuverability, Maritime Transport Emissions and Efficiency, Fluid Dynamics Simulations and Interactions, and Icing and De-icing Technologies.

Frequently published venues for Kujala's research include:

  • Ocean Engineering
  • Marine Structures
  • Reliability Engineering & System Safety
  • Safety Science
  • Journal of Marine Science and Engineering

Recent papers authored or co-authored by Kujala highlight methods and analytics in maritime safety and risk assessment. These include:

  • A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions (2021, Reliability Engineering & System Safety)
  • A predictive analytics method for maritime traffic flow complexity estimation in inland waterways (2022, Reliability Engineering & System Safety)
  • Review and analysis of methods for assessing maritime waterway risk based on non-accident critical events detected from AIS data (2020, Reliability Engineering & System Safety)
  • A framework to model the STPA hierarchical control structure of an autonomous ship (2020, Safety Science)
  • A method for the direct assessment of ship collision damage and flooding risk in real conditions (2021, Ocean Engineering)

Kujala has collaborated extensively with several researchers, including:

  • Spyros Hirdaris
  • Fang Li
  • Osiris A. Valdez Banda
  • Mikko Suominen
  • Floris Goerlandt

The body of work reflects a multidisciplinary approach integrating analytical methods, risk evaluation, and modeling techniques within the maritime and engineering sciences. Kujala's research contributes knowledge on the safety, environmental impact, and technical challenges of maritime transport and navigation systems, as well as the dynamics of ice and structural reliability in polar and marine environments.

Best Publications

  • Traffic simulation based ship collision probability modeling

    Floris Goerlandt;Pentti Kujala

  • Analysis of the marine traffic safety in the Gulf of Finland

    Pentti Kujala;Maria Hänninen;Tommi Arola;Jutta Ylitalo

  • Towards the assessment of potential impact of unmanned vessels on maritime transportation safety

    Krzysztof Adam Wróbel;Jakub Montewka;Jakub Montewka;Pentti Kujala

  • Probability modelling of vessel collisions

    Jakub Montewka;Tomasz Hinz;Pentti Kujala;Jerzy Matusiak

  • A framework for risk assessment for maritime transportation systems—A case study for open sea collisions involving RoPax vessels

    Jakub Montewka;Sören Ehlers;Floris Goerlandt;Tomasz Hinz

  • A method for detecting possible near miss ship collisions from AIS data

    Weibin Zhang;Floris Goerlandt;Jakub Montewka;Jakub Montewka;Pentti Kujala

  • Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters

    Mingyang Zhang;Mingyang Zhang;Di Zhang;Floris Goerlandt;Floris Goerlandt;Xinping Yan

  • Influences of variables on ship collision probability in a Bayesian belief network model

    Maria Hänninen;Pentti Kujala

  • An Advanced Method For Detecting Possible Near Miss Ship Collisions From AIS Data

    Weibin Zhang;Floris Goerlandt;Pentti Kujala;Yinhai Wang

  • A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions

    Mingyang Zhang;Jakub Montewka;Teemu Manderbacka;Pentti Kujala

  • A Risk-Informed Ship Collision Alert System: Framework and Application

    Floris Goerlandt;Jakub Montewka;Vladimir Kuzmin;Pentti Kujala

  • Bayesian network model of maritime safety management

    Maria Hänninen;Osiris A. Valdez Banda;Pentti Kujala

  • On the Reliability and Validity of Ship–Ship Collision Risk Analysis in Light of Different Perspectives on Risk

    Floris Goerlandt;Pentti Kujala

  • Bayesian network modeling of Port State Control inspection findings and ship accident involvement

    Maria Hänninen;Pentti Kujala

  • Towards the development of a system-theoretic model for safety assessment of autonomous merchant vessels

    Krzysztof Wróbel;Jakub Montewka;Jakub Montewka;Pentti Kujala

  • An analysis of ship escort and convoy operations in ice conditions

    Floris Goerlandt;Jakub Montewka;Weibin Zhang;Pentti Kujala

  • A machine learning method for the evaluation of ship grounding risk in real operational conditions

    Unknown

  • System-theoretic approach to safety of remotely-controlled merchant vessel

    Krzysztof Wróbel;Jakub Montewka;Jakub Montewka;Pentti Kujala

  • Review and analysis of methods for assessing maritime waterway risk based on non-accident critical events detected from AIS data

    Lei Du;Floris Goerlandt;Pentti Kujala

  • Determination of collision criteria and causation factors appropriate to a model for estimating the probability of maritime accidents

    Jakub Montewka;Floris Goerlandt;Pentti Kujala

  • A risk analysis of winter navigation in Finnish sea areas.

    Osiris A. Valdez Banda;Floris Goerlandt;Jakub Montewka;Pentti Kujala

Frequent Co-Authors

Floris Goerlandt
Floris Goerlandt Dalhousie University
Jakub Montewka
Jakub Montewka Aalto University
Jani Romanoff
Jani Romanoff Aalto University
Faisal Khan
Faisal Khan Texas A&M University
Marcílio Alves
Marcílio Alves Universidade de São Paulo
Erik Kjellström
Erik Kjellström Swedish Meteorological and Hydrological Institute
Jonas W. Ringsberg
Jonas W. Ringsberg Chalmers University of Technology
Aki Mikkola
Aki Mikkola Lappeenranta University of Technology
Kevin Otto
Kevin Otto Aalto University
Xinping Yan
Xinping Yan Wuhan University of Technology

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