A5016634084- Maritime Navigation and Safety
- Structural Integrity and Reliability Analysis
- Risk and Safety Analysis
- Maritime Transport Emissions and Efficiency
- Ship Hydrodynamics and Maneuverability
- Marine and Offshore Engineering Studies
- Human-Automation Interaction and Safety
- Spacecraft and Cryogenic Technologies
- Maritime Ports and Logistics
- Marine and Coastal Research
- Fluid Dynamics Simulations and Interactions
- Vehicle emissions and performance
- Hybrid Renewable Energy Systems
- Occupational Health and Safety Research
- Safety Systems Engineering in Autonomy
- Oil and Gas Production Techniques
- Software Reliability and Analysis Research
- Advanced Combustion Engine Technologies
- Probabilistic and Robust Engineering Design
- Maritime Security and History
- Bayesian Modeling and Causal Inference
- Offshore Engineering and Technologies
- Life Cycle Costing Analysis
- Transportation Systems and Safety
- Environmental Engineering and Cultural Studies
National Technical University of Athens
2024
University of Strathclyde
2001-2023
Singapore Institute of Technology
2017-2021
Nanyang Technological University
2013-2016
Newcastle University Singapore
2009
When fuel efficiency is at stake, along with the reduction of environmental foot print air pollution, a need presented to estimate ship's consumption for forthcoming voyage, and means decision making cost saving. This paper suggests an operational approach obtaining accurate speed curve, on basis major factors affecting it, namely, ship’s draft displacement, weather force direction, hull propeller roughness. A statistical analysis 418 noon reports Pure Car Truck Carrier case ship carried out...
Thousands of tonnes litter enter the ocean every day, posing a significant threat to marine life and ecosystems. While floating beach are often in spotlight, about 70% eventually sinks seafloor, making underwater largest accumulation that goes undetected. Plastic debris makes up majority is known source microplastics ocean. This paper focuses on detection plastic using neural network models. Two models will be trained, i.e., YOLACT Mask R-CNN, for instance segmentation images. The trained...
Many studies have shown that the majority of maritime accidents/incidents are attributed to human errors as initiating cause. Efforts been made study factors can result in a safer transportation. Among all techniques, Electroencephalogram (EEG) has advantages such high time resolution, possibility continuously monitor brain states with accuracy, recognition mental workload, emotion, stress, vigilance, etc. In this paper, we designed and carried out an experiment collect EEG signals stress...
This paper presents work on forecasting the fuel consumption rate of a harbour craft vessel through combined time-series and classification prediction modelling. study utilizes machine learning tool which is trained using 5-month raw operational data, i.e., rate, position wind data. The Haar wavelet transform filters noisy readings in flow Wind data are transformed into effect (drag), speed acquired transforming GPS coordinates location to distance travelled over time. Subsequently, k-means...
The paper presents the results of a recent risk evaluation study for roll‐on‐roll‐off passenger (RoPax) vessels, carried out as part activities SAFEDOR Integrated Project. objective was to investigate hazards and their causes during RoPax operation quantify, extent possible, frequencies consequences. A previous on safety assessment vessels sailing in north‐west European waters, covering period until 1994, used basis putting together high‐level model current study. All scenarios are presented...
The use of hybrid energy systems in ships has increased recent years due to environmental concerns and rising fuel prices. This paper focuses on the development study a system using liquefied natural gas (LNG) batteries for tugboat. model is created MATLAB/Simulink® uses data obtained from an operational diesel-powered LNG–hybrid then subjected testing four distinct configurations: fixed speed, variable with without battery. different configurations are compared by computing daily cost, CO2...
Stability of floating offshore structures at intact and damaged conditions is currently being addressed by adherence to prescriptive regulations, on the basis qualities righting moment curves. However, as experience shows, a set regulations not adequate, especially when dealing with larger or complicated configurations. Following relevant developments in shipping industry recent Macondo Prospect (Deepwater Horizon) incident, it considered appropriate propose probabilistic framework for...
Decommissioning of offshore facilities involve changing risk profiles at different decommissioning phases. Bayesian Belief Networks (BBN) are used as part the proposed assessment method to capture multiple interactions a activity. The BBN is structured from data learning an accident database and modification nodes incorporate human reliability barrier performance modelling. analysis covers one case study area operations by extrapolating well workover plugging abandonment. Initial data,...