Tien Anh Tran
Biography
Research Interest
Ocean Engineering, Mechanical Engineering, Civil Engineering, Computer Science, Marine Engineering, Wireless Communication Network, Data Analysis, Artificial Intelligence, Machine Learning, Control System Engineering, Electrical Engineering, Multi Criteria Decision Making System, Risk
Management, Transportation Engineering, Offshore Construction, Marine Environmental Engineering, Mathematical Models and Optimization Theories,
Applied Mathematics, etc. Abstract
Internet of Drone Technology (IoDT) guided Ocean-wind aware Ship Trajectory Recommendation
The current appearance of Internet of Things (IoT) based models applied to flying vehicles has introduced the Internet of Drone Things (IoDT) paradigm for surveillance, supervision, shipping, and delivery. These IoDT applications for ship movement are the new research trends in the maritime industry. By leveraging IoDT-guided ship movement and FL, various wind-mitigated trajectory recommendation methodologies have been proposed to improve ship movement in a real-time windy environment in the ocean. The wind disturbances highly affect ship trajectories to reach to actual destination. Often ship directions and their destinations have some confidential data to process by centralized ML-based models. Thus, the privacy of these data is a major concern in the ocean. Privacy-preserving Federated learning (FL) is one of the solutions where the local private data is not shared with the central federated aggregator for this purpose. For trajectory-recommended energy-efficient optimization has been studied through proposing some drone technologies along with the optimization algorithms to guide appropriately the ships through harsh ocean environment.
