A5082122549- Maritime Navigation and Safety
- Arctic and Antarctic ice dynamics
- Structural Integrity and Reliability Analysis
- Ship Hydrodynamics and Maneuverability
- Risk and Safety Analysis
- Maritime Transport Emissions and Efficiency
- Icing and De-icing Technologies
- Cryospheric studies and observations
- Fluid Dynamics Simulations and Interactions
- Arctic and Russian Policy Studies
- Structural Analysis of Composite Materials
- Maritime Ports and Logistics
- Climate change and permafrost
- Offshore Engineering and Technologies
- Spacecraft and Cryogenic Technologies
- Smart Materials for Construction
- Oil Spill Detection and Mitigation
- Occupational Health and Safety Research
- Marine and Coastal Research
- Laser and Thermal Forming Techniques
- Fatigue and fracture mechanics
- Maritime Security and History
- Ocean Acidification Effects and Responses
- Material Properties and Applications
- Structural Load-Bearing Analysis
Tallinn University of Technology
2023-2025
Shanghai Jiao Tong University
2024-2025
Aalto University
2015-2024
Tieto (Finland)
1996-2023
Marine Technology Unit
2017-2021
Espoo Music Institute
2003-2016
Kotka Maritime Research Centre
2015-2016
Maritime University of Szczecin
2011
Turku Science Park
2004
Lappeenranta-Lahti University of Technology
2000-2003
The prototypes of unmanned merchant vessels are expected to come into service within the coming years. main line argument supporting their introduction pertains increase in navigational safety, which is be achieved by reducing frequency human-related accidents on board ships, removing crews. On other hand, response ship potential still uncertain. With enthusiasm one side and apprehension other, literature lacks an objective study effect ships safety maritime transportation. This paper...
Maritime accidents involving ships carrying passengers may pose a high risk with respect to human casualties. For effective mitigation, an insight into the process of escalation is needed. This requires proactive approach when it comes modelling for maritime transportation systems. Most existing models are based on historical data accidents, and thus they can be considered reactive instead proactive. paper introduces systematic, transferable framework estimating systems, meeting requirements...
This paper presents a big data analytics method for the evaluation of ship-ship collision risk in real operational conditions. The approach makes use from Automatic Identification System (AIS) and nowcast corresponding to time-dependent traffic situations hydro-meteorological conditions respectively. An Avoidance Behavior-based Collision Detection Model (ABCD-M) is introduced identify potential scenarios Risk Indices (CRIs) are quantified when evasive actions taken each detected scenario...
Collision accidents may lead to significant asset damage and human casualties. This paper introduces a direct analysis methodology that makes use of Automatic Identification System (AIS) data estimate collision probability generate scenarios for in ship stability assessment. Potential are detected from AIS by an avoidance behaviour-based detection model (ABCD-M) the is estimated various routes pertaining specific area operation. Damage extents idealised Super – Element (SE) method accounting...
Ship groundings may often lead to damages resulting in oil spills or ship flooding and subsequent capsizing. Risks can be estimated qualitatively through experts' judgment quantitatively the analysis of maritime traffic data. Yet, studies using big data remain limited. In this paper, we present a analytics method for evaluation grounding risk real environmental conditions. The makes use streams from Automatic Identification System (AIS), nowcast data, seafloor depth General Bathymetric Chart...
Abstract. A natural hazard is a naturally occurring extreme event that has negative effect on people and society or the environment. Natural hazards may have severe implications for human life can potentially generate economic losses damage ecosystems. better understanding of their major causes, probability occurrence, consequences enables to be prepared save lives as well invest in adaptation options. related climate change are identified one Grand Challenges Baltic Sea region. Here, we...
This paper presents a big data analytics method for the proactive mitigation of grounding risk. The model encompasses dynamics ship motion trajectories while accounting kinematic uncertainties in real operational conditions. approach combines K-means and DB-SCAN (Density-Based Spatial Clustering Applications with Noise) clustering methods Principal Component Analysis (PCA) to group environmental factors. A Multiple-Output Gaussian Process Regression (MOGPR) is consequently used predict...
In recent years, the European Commission and International Maritime Organization (IMO) implemented various operational measures policies to reduce ship fuel consumption related emissions. The effectiveness of these relies upon developing accurate predictive models encompassing influence real conditions. This paper presents a deep learning method for prediction consumption. utilizes big data analytics from sensors, voyage reporting hydrometeorological data, comprising 266 variables made...
Propeller cavitation performance can be predicted based on model tests or simulations. However, the of an ice-blocked propeller near free surface differs from that a in tunnel. Therefore, research simulation propellers holds crucial scientific significance. In this study, coupled was established using Computational Fluid Dynamics (CFD) and Volume (VOF) coupling method. The CFD-VOF weighted overlapping grids simulated various immersion depths, numbers, advance coefficients. inflow ahead wake...
As the initiatives to develop and implement autonomous merchant vessels into global shipping industry are gaining momentum, their safety remains in spotlight. It is argued that every effort shall be taken ensure of maritime transportation not reduced process, but question how achieve it open. Meanwhile, systemic approach more widely being used analyse innovative systems' safety. We therefore apply a System-Theoretic Process Analysis model suitable for analysis design recommendations'...
Winter navigation is a complex but common operation in the Northern Baltic Sea areas. In Finnish waters, safety of wintertime maritime transportation system managed through Finnish–Swedish winter system. This results different operational modes ship navigation, with vessels either navigating independently or under icebreaker assistance. A recent risk analysis indicates that during assistance, convoys operations are among most hazardous, convoy collisions important events. While accident...