Full Length ArticleData fusion and machine learning for ship fuel efficiency modeling: Part II – Voyage report data, AIS data and meteorological data
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Yuquan Du is a Senior Lecturer in the Centre for Maritime and Logistics Management at Australian Maritime College (AMC), University of Tasmania, Australia. He obtained his PhD in Control Theory and Control Engineering in June 2012 from Nankai University, and then worked for 3 years as a Research Fellow at the Centre for Maritime Studies, National University of Singapore. His current research concentrates on machine learning models, optimization models, and solution algorithms for management science problems in transportation, logistics, and supply chain management. He is a member of the Australian Maritime Logistics Research Network.
Yanyu Chen is a PhD candidate in the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS), Australia. She obtained her master's degree in Information and Communication Technology in July 2021 from UTAS, and then worked as a Research Assistant in the Centre for Maritime and Logistics Management at Australian Maritime College, UTAS. Her current research concentrates on machine learning models, deep learning models, optimization models, and solution algorithms for research problems in marine biology, fishery management, and supply chain management.
Xiaohe Li graduated from Harbin Engineering University. He obtained his PhD in Power Engineering and Engineering Thermophysics from Harbin Engineering University in March 2022. His current research focuses on ship fuel consumption prediction models, machine learning models, energy efficiency optimization models, solution algorithms, and energy efficiency management software development for the shipping industry.
Alessandro Schönborn is an Assistant Professor at World Maritime University (WMU) in the Maritime Energy Management (MEM) specialization. His research interests focus on fuel and propulsion technology, and on marine renewable energy from wave, tidal and ocean currents, but he has further interests in solar and wind power for marine applications. He graduated from University College London (UCL) with an M.Eng. degree in Mechanical Engineering and holds a PhD in combustion (UCL) for a thesis on renewable fuels for diesel engines. Before joining WMU, he worked at MAN Energy Solutions, SINTEF Energy Research, and Lund University.
Zhuo Sun is a Professor at the Department of Logistics in Dalian Maritime University. He received his dual bachelor's degree in Civil Engineering and Computer Science from Dalian University of Technology in China in 2003, master's degree in Hydraulics from Dong-A University in South Korea in 2005, and PhD in Urban Planning from Nagoya University in Japan in 2008. He conducted his postdoctoral research in the Centre for Maritime Studies of National University of Singapore from 2009 to 2012. His research interests are in the areas of shipping network design and port planning. He won the Gold Prize for the “Next Generation Container Port Challenge” in the Singapore in 2013 and the third-place winner of the “The Last Mile Delivery” Algorithm Competition organized by Alibaba, Hong Kong University of Science and Technology, and INFORMS in 2016. He developed a spatial planning tool named MicroCity (https://microcity.github.io).