• Collision Risk Assessment and Forecasting on Maritime Data 

      Tritsarolis, Andreas; Murray, Brian; Pelekis, Nikos; Theodoridis, Yannis (Chapter, 2023)
      The wide spread of the Automatic Identification System (AIS) and related tools has motivated several maritime analytics operations. One of the most critical operations for the purpose of maritime safety is the so-called ...
    • Proactive Collision Avoidance for Autonomous Ships: Leveraging Machine Learning to Emulate Situation Awareness 

      Murray, Brian; Perera, Lokukaluge Prasad (Peer reviewed; Journal article, 2021)
      Autonomous ship technology is developing at a rapid pace, with the aim of facilitating safe ship operations. Collision avoidance is one of the most critical tasks that autonomous ships must handle. To support the level of ...
    • Ship Route Optimization Using Hybrid Physics-Guided Machine Learning 

      Jørgensen, Ulrik; Bellingmo, Pauline Røstum; Murray, Brian; Berge, Svein Peder; Pobitzer, Armin (Peer reviewed; Journal article, 2022)
      This paper presents a method for energy efficient weather routing of a ferry in Norway. Historical operational data from the ferry and environmental data are used to develop two models that predict the energy consumption. ...