Research Areas
Maritime Data Science & Market Analysis
This area focuses on leveraging big data and advanced analytics to decode complex maritime market dynamics. Through data mining, econometric modeling, and visualization tools, QuALS supports stakeholders in understanding freight trends, vessel operations, and trade patterns. Research outcomes strengthen strategic planning, risk management, and competitiveness within global shipping markets.
Predictive Modeling & Forecasting
QuALS develops sophisticated statistical and machine learning models to forecast key maritime indicators, such as freight rates, bunker prices, and vessel performance. By integrating historical data, real-time inputs, and scenario analysis, these predictive tools help anticipate market shifts, optimize fleet management, and enhance energy efficiency.
Port & Logistics Optimization
Research in this area targets the optimization of port operations, logistics chains, and intermodal connectivity. Using simulation and optimization models, QuALS evaluates port performance, berth allocation, cargo flows, and resilience strategies. The goal is to advance sustainable and efficient logistics systems supporting maritime trade and regional economic growth.
Maritime Infrastructure Asset Management, Resilience & Security
QuALS applies quantitative and engineering-based approaches to assess and improve the lifecycle performance of maritime and port infrastructure. Research includes structural monitoring, climate adaptation, and security modeling. Emphasis is placed on resilience, risk mitigation, and sustainable asset management under environmental and operational stressors.
Maritime Risk Assessment & Safety Studies
This area investigates the identification, modeling, and mitigation of safety and environmental risks in maritime transport. Topics include accident analysis, oil spill modeling, emissions control, and compliance assessment. The research supports safer, cleaner, and more resilient maritime operations aligned with international regulations and ESG principles.
Digital Technologies & Simulation
QuALS integrates Artificial Intelligence, digital twins, and simulation-based tools to revolutionize maritime training, planning, and operations. This research area enhances decision-making, scenario testing, and preparedness through immersive and data-rich virtual environments, promoting innovation and digital transformation across the maritime and port sectors.