What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Mechanical engineering
Pentti Kujala mainly investigates Collision, Operations research, Bayesian network, Risk analysis and Meteorology.
His Collision research is multidisciplinary, incorporating perspectives in Monte Carlo method, Transport engineering and Archipelago.
His Operations research study combines topics in areas such as Ranking, Data point, Basis and Near miss.
His Bayesian network study which covers Variable that intersects with Constraint.
His studies in Risk analysis integrate themes in fields like Collision risk and Risk assessment.
As part of one scientific family, Pentti Kujala deals mainly with the area of Meteorology, narrowing it down to issues related to the Navigation system, and often Lead, Hindcast and Sea ice.
His most cited work include:
- Analysis of the marine traffic safety in the Gulf of Finland (186 citations)
- Traffic simulation based ship collision probability modeling (174 citations)
- Probability modelling of vessel collisions (163 citations)
What are the main themes of his work throughout his whole career to date?
Marine engineering, Collision, Hull, Operations research and Baltic sea are his primary areas of study.
Pentti Kujala interconnects Sea ice, Ice thickness, Arctic and Full scale in the investigation of issues within Marine engineering.
Collision is often connected to Monte Carlo method in his work.
His studies deal with areas such as Structural engineering and Meteorology as well as Hull.
Pentti Kujala combines subjects such as Risk analysis, Bayesian network and Risk assessment with his study of Operations research.
His work on Bayesian network is being expanded to include thematically relevant topics such as Probabilistic logic.
He most often published in these fields:
- Marine engineering (23.86%)
- Collision (17.05%)
- Hull (12.88%)
What were the highlights of his more recent work (between 2017-2021)?
- Marine engineering (23.86%)
- Collision (17.05%)
- Arctic (6.82%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Marine engineering, Collision, Arctic, Baltic sea and Risk analysis.
The Marine engineering study which covers Full scale that intersects with Full scale test.
The Collision study combines topics in areas such as Finite element method and Operations research.
He has included themes like Polar code, Probabilistic logic, Passage planning, Risk based design and Risk assessment in his Arctic study.
His research investigates the connection with Baltic sea and areas like Sea ice which intersect with concerns in Petroleum engineering, Bayesian network and Crew.
In general Risk analysis, his work in Risk analysis is often linked to Process analysis, Design phase and Maritime safety linking many areas of study.
Between 2017 and 2021, his most popular works were:
- Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters (68 citations)
- System-theoretic approach to safety of remotely-controlled merchant vessel (43 citations)
- Towards the development of a system-theoretic model for safety assessment of autonomous merchant vessels (34 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mechanical engineering
- Artificial intelligence
Pentti Kujala focuses on Marine engineering, Collision, Risk analysis, Baltic sea and Finite element method.
Pentti Kujala has researched Marine engineering in several fields, including Artificial neural network and Computational fluid dynamics.
In his research, Identification is intimately related to Operations research, which falls under the overarching field of Collision.
In his study, which falls under the umbrella issue of Risk analysis, Development is strongly linked to Process.
His research on Baltic sea also deals with topics like
- Sea ice that connect with fields like Crew, Bayesian network and Petroleum engineering,
- Training that connect with fields like Ice thickness and Navigation safety.
His Finite element method research incorporates elements of Scale, Perspective and Plasticity.
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