Nankai University International E-Forum on Artificial Intelligence and Robotics

（第74期）

2025年南开大学人工智能与机器人国际学术讲坛

College of Artificial Intelligence, Nankai University

报告时间：2025年12月3日（周三）11:00~12:00

ZOOM会议：848 3168 6430   Passcode:20251013

报告嘉宾：Yuquan Du教授

专家单位：La Trobe Univesity

报告题目：Al-assisted Near Real-Time(NRT)CarbonAccounting and Reporting Frameworkfor International Maritime Transport

报告摘要：

The recently proposed marine greenhouse gas (GHG) emission pricing mechanism has pressuredshipping companies and regulators to adopt effective methods for the real-time monitoring otcarbon emissions. This study proposes a Near Real-Time (NRT) carbon accounting frameworkthat leverages Al (machine learning) models to enable carbon emission tracking at a 15-minutetime interval. The framework incorporates critical factors, such as ship navigation characteristicsweather, and sea conditions to achieve accurate carbon accounting. We validate the frame-work’s efficacy through a case study of four mega-container ships of varying sizes and navigation scenarios. Our results show a maximum cumulative error of 5.83% for all ship navigatiorscenarios, even without critical data, and during the most extended voyages of their respectiveservices. The proposed framework provides a new perspective on the decarbonization application of ship energy efficiency prediction research. By integrating it with a cloud-computing platform, shipping companies can enhance their voyage planning and route adjustment to optimizoperational efficiency and reduce carbon footprints. Using this framework, international maritime transport reaulators can develop an early warnina svstem for carbon emissions to coordnate and improve environmental sustainability practices in the shipping industry.

报告人简介：

Dr Yuquan (Bill) Duis a Senior Lecturer (equivalent to AssociateProfessor) of Loaistics and Supply Chain Management in La Trobe Business School(LBS), La Trobe Univesity, Australia.  His current research concentrates on applying machine learning, simulation, and optimisation (operations research)approaches to the decision-makina problems in transport, logistics, supply chain, and value chain systems. He is a highly cited researcher in the area of global freight transport and logistics studies. Some of his studies have gained high academic or industrial reputation, such as INFORMS Presidents Pick (2015),and Industry Mention of lBM's OptimisationTeam on CPLEX. He has been the Lead Applicant/Chief Investigator/Academic Collaborator of research projects with a total funding in excess of $1 million. His research has been supported by industry partners including American President Lines Ltd (APL), Milaha Maritime and Logistics, and Kongsberg Digital (KDl), especially in the form of providing industry datasets and insights