Welcome to the Singapore Maritime Research Conference (SMRC) 2025.
SMRC provides an international forum for the presentation and discussion of frontier maritime research including decarbonisation, digitalisation and autonomy. The theme of the conference is “Powering Research in Digitalisation and Decarbonisation”.
Highlights of SMRC 2025
At the conference, we will:
- Discuss pressing challenges in the maritime sector, such as decarbonisation, sustainability, artificial intelligence, safety and security, and technological integration;
- Curate future maritime research directions, include identifying emerging trends, knowledge gaps, and potential areas for future maritime research in science and technology over the next five years;
- Showcase leading interdisciplinary research in both fundamental and applied areas in maritime;
- Form and catalyse new partnerships in maritime R&D areas;
- Profile emerging young research talent;
- Promote maritime research and innovation
SMRC 2025 will also be held in conjunction with Singapore Maritime Week (SMW2025),
allowing our participants to enjoy the talks and trade shows for both events.
Conference Speakers
Dr Panagiotis Angeloudis is Professor of Transport Systems & Logistics at Imperial College London and the Department of Civil & Environmental Engineering.
His research focuses on the intersection of autonomous systems, multi-agent modelling and network optimisation and their applications to freight distribution and passenger transportation. His research group specialises in developing high-performance, scalable models that capture the interactions between users, providers, infrastructure and operating regimes. Recent TSL projects have focused on the design of deployment strategies for safe and efficient autonomous transport systems (AVs, drones) for passenger and freight mobility.
Panagiotis was recently appointed by the UK Department for Transport to the Expert Panel for Maritime 2050 and has been a member of the Future of Mobility review team for the UK Government Office of Science. Over the years, he has advised and developed bespoke models for major corporations, government agencies and consultancies worldwide on initiatives related to transport infrastructure, operations management and technology deployment.
At Imperial, he leads a team of over 15 researchers and is also the Programme Director of the MSc in Transport and Data Science. He has a broad portfolio of funded research projects, with significant support from EPSRC, InnovateUK, the UK and foreign governments, and the industry. He is a member of the management committee for the Imperial Robotics Forum, Director of Teaching for the Transport Section, and transport champion for the Institute for Security Science and Technology.
Presentation Synopsis
A Critical Overview of Recent AI Developments and its Role in the Maritime Sector
This talk will focus on emerging technologies and innovations shaping the future of the maritime industry, with a particular emphasis on improving efficiency and sustainability. It will explore recent examples of advancements in the sector and address the importance of thoroughly scrutinising new products before their adoption, considering both their potential benefits and associated risks. The discussion will also highlight key developments with the potential to drive transformative change in maritime operations and services.
Sanja Bauk is a Research Professor at the Estonian Maritime Academy within the Tallinn University of Technology. In addition to research, she teaches Introduction to Computer Systems for Maritime Specialist at master’s level and Digital Transformation of Maritime Industry at PhD level.
Previously, she was an Associated Professor at the Durban University of Technology in South Africa, where she was a researcher and lectured Electronic Navigation (ECDIS and Radar/Arpa courses), Logistics, Research Methodology, and Research Projects.
She started her career at the Maritime Faculty of the University of Montenegro in Kotor, where she taught Operations Research and several courses in ICT in addition to research.
She has a rich and diverse international career, along with a sound publication score. Her research interests are multi-layered with a focus on maritime digital transformation and cybersecurity.
Presentation Synopsis
On MASS Cyber Vulnerability: Rudder Controller Attack Simulation Experiments
In recent years, the field of Maritime Autonomous Surface Ships (MASS) has seen remarkable progress and shifted the boundaries of innovation and transforming the way we think about maritime operations. However, as these cutting-edge vessels become more sophisticated, the cybersecurity challenges they face grow equally complex and demand urgent attention.
This presentation delves into the pivotal intersection of technology and security. It not only summarizes the ongoing research and achievements in the MASS domain but also highlights a particularly critical aspect—the resilience of these autonomous systems to cyber threats. The focus of our investigation centres on modelling the behaviour of a MASS in the event of a cyberattack on the rudder controller, a crucial component within the Supervisory Control and Data Acquisition (SCADA) system. Such scenarios underscore the potentially catastrophic implications of compromised control systems in autonomous ships.
To bring this concept to life, we turned to "Nymo" MASS, an innovative research test vessel developed through a collaboration between the start-up MindChip and Tallinn University of Technology. As a platform purpose-built for exploring the frontiers of maritime autonomy, “Nymo” offered us a unique opportunity to simulate and analyse the impacts of cyberattacks under controlled conditions. By studying how “Nymo” responded to hypothetical cyber-threats, we gained valuable insights into the vulnerabilities of MASS and the safeguards required to mitigate them.
Through this research, we aim to not only illuminate the risks but also pave the way for robust security measures that ensure the safe and efficient operation of autonomous ships in an increasingly interconnected maritime world.
Professor Evangelos Boulougouris is a distinguished academic and chartered professional engineer with an internationally recognised reputation in research and knowledge exchange in naval architecture, ocean, and marine engineering. With a career spanning over 30 years, he is a leading researcher in the fields of marine safety operations and design for safety, earning numerous international awards for his contributions. Currently serving as Head of the Department of Naval Architecture, Ocean, and Marine Engineering (NAOME) at the University of Strathclyde, Prof. Boulougouris has played pivotal roles in advancing maritime research. He is a co-inventor of a pending patent and has served as Coordinator, Principal Investigator, and Co-Investigator on major EU and UK-funded research projects. Additionally, he has coordinated numerous Knowledge Exchange projects and EU-funded training courses.
A dedicated contributor to professional institutions, Prof Boulougouris is a Fellow of both the Royal Institution of Naval Architects (FRINA) in the UK and the Society of Naval Architects and Marine Engineers (FSNAME) in the US. His influence extends to the International Maritime Organization (IMO) through his role on the Royal Institution of Naval Architects’ IMO Standing Committee, where he has participated in key meetings of the Ship Design and Construction (SDC), Maritime Safety Committee (MSC), and Marine Environment Protection Committee (MEPC). He has also contributed to several International Intercessional Correspondence Groups, helping develop new regulations for international shipping. Prof Boulougouris is an active member of the International Towing Tank Conference (ITTC) Technical Committee on Stability in Waves, the Stability R&D Committee linked to the International Conference on the Stability of Ships and Offshore Structures (STAB), and the Council of the European Council of Maritime Applied R&D (ECMAR). With over 230 publications in journals, international peer-reviewed conferences, and book chapters, his work continues to shape the field and influence future research directions.
Presentation Synopsis
Research Challenges and Opportunities in Shipping Industry’s Pathway to Decarbonisation by 2050
As the clock ticks towards 2050, the challenge of steering the shipping industry away from the risk of missing its decarbonisation targets grows ever more daunting. Over the past decade, intense efforts and substantial investments have gone into developing credible solutions, yielding critical lessons along the way. NAOME at the University of Strathclyde has been at the forefront of international research in this field, leading flagship projects supported by the UK government, the European Union, and industry partners. This presentation will explore our key insights, achievements, and the path forward toward a futureproof and sustainable shipping sector.
Professor Chan Eng Soon is the Chief Executive Officer of the Technology Centre for Offshore and Marine, Singapore, and the Director of Research at the National University of Singapore.
Prior to his current appointments, he held several key appointments in the National University of Singapore, including being the Vice Provost (Special Duties) in the Provost Office, Keppel Chair Professor at the Department of Civil & Environmental Engineering, Dean of Engineering, Head of the then Civil Engineering Department, Director of the Tropical Marine Science Institute and Executive Director of the Centre for Offshore Research and Engineering.
He was a member of the PUB Board and the Board of DSO National Laboratories and served in the Management Board of several institutions and research laboratories/centres, including the Centre for Remote Imaging, Sensing and Processing, Institute for Mathematical Sciences, Temasek Laboratories, Temasek Defence Systems Institute and the Tropical Marine Science Institute.
Presentation Synopsis
Understanding and managing risks in the transition towards future maritime operations
As a global maritime hub at the crossroads of major shipping routes, the port of Singapore remains one of the busiest ports in the world. To keep pace with the rapid growth of port activities, the pursuit of innovation, sustainability, and excellence has also gained momentum over the past few years, including efforts to deploy autonomous and/or remotely controlled vessels, and the bunkering trials of new fuels. In conjunction with these transitions and transformations, it is crucial to understand how new maritime operation concepts can be scaled up in Singapore’s port waters while maintaining high safety standards, service reliability and operational efficiency. This requires knowledge of uncertainties inherent in a complex operating environment and the co-creation of solutions at a system-of-systems level. This talk will reflect on the challenges of transforming maritime operations, and how the maritime research ecosystem in Singapore is working closely with the maritime industry in evolving future systems and solutions.
Dr Xiuju Fu is Senior Principal Scientist at the Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR) in Singapore. With expertise in AI, big data intelligence, simulation, and optimisation techniques, she focuses on advancing complex system management and enhancement. Recognised for her contributions, she was honored as an SMI Fellow in 2023. Currently, she spearheads the Maritime AI Research in IHPC, driving research and development initiatives in maritime data excellence, AI modeling excellence, maritime AI computing, and application excellence. Her efforts aim to foster the development and application of big data and AI in the maritime industry.
Presentation Synopsis
Accelerating Innovations in Maritime Shipping through Maritime AI Research
This talk will provide an overview of the maritime AI research conducted under Maritime AI Research Programme in Singapore. Key research findings and achievements from the Programme will be showcased, demonstrating the transformative potential of AI in areas such as traffic safety, maritime decarbonisation, and operational efficiency enhancement etc. Additionally, the session will highlight the System for Maritime AI Excellence (MAX) framework proposed, which offers a comprehensive approach to help unify and elevate maritime AI efforts across the ecosystem.
Dr Roy He is a renowned oceanographer and a Distinguished Professor at North Carolina State University. He is also the Founder and President of Fathom Science, Inc., a pioneering marine data company specialising in advanced marine data analytics and predictive technologies to support the rapidly expanding Blue Economy. With a Ph.D. in Physical Oceanography and prior experience as a scientist at Woods Hole Oceanographic Institution, Dr He has made significant contributions to marine environmental prediction and actionable intelligence for maritime applications. He has authored over 130 peer-reviewed publications and delivered more than 400 conference presentations.
Dr He is a leader in developing digital twins of the marine environment, combining AI, machine learning, and cloud computing to create predictive models that enhance decision-making across various sectors. His innovative work, along with his team's efforts, has earned numerous accolades, including STTR Awards from the US Navy and DOE, as well as the NASA iTech Award.
Presentation Synopsis
From Data to Decisions: AI/ML-Augmented Metocean Digital Twins for Predictive and Actionable Maritime Intelligence
In the rapidly evolving maritime industry, decision-makers face growing demands for accurate, timely, and actionable insights to manage risks, optimise operations, and drive sustainability. This presentation highlights a groundbreaking approach to developing a digital twin of the metocean environment. Leveraging advanced AI and ML technologies, this digital twin integrates hyper-local, fully integrated atmospheric, oceanic, and wave models with cutting-edge data assimilation and cloud computing. Attendees will discover how this innovation delivers predictive and actionable intelligence for a wide range of maritime applications, including port operations, offshore platforms, marine life protection, and search-and-rescue missions.
Professor Dominic Hudson is Shell Professor of Ship Safety and Efficiency at the University of Southampton. Prof Hudson has research interests in all aspects of hydrodynamics, particularly as related to ship design and operation for energy efficiency. He advises Shell Shipping and Maritime on ship efficiency, decarbonisation, performance management and future ship designs. Current projects include developing whole-systems energy models for ships to allow assessment of alternative fuel solutions. He also works on energy efficient technologies for shipping, including wind-assist and air lubrication.
Prof Hudson has been a member of the Performance Sports Engineering Laboratory since its inception in 2005 (awarded Queen’s Anniversary Prize for Higher and Further Education in 2012), working closely with the UK Sports Institute, Olympic teams in multiple sports and companies such as Speedo. From 2008-2013 he was Director of Programmes for the Maritime Engineering degrees (under- and post-graduate) offered by the University and from 2017-2024 he was head of the Maritime Engineering group. Prof Hudson was a regular visiting Professor at Nanyang Technological University, Singapore, from 2011-2016.
Prof Hudson has co-authored one book, Ship Resistance and Propulsion, CUP (2nd ed 2017) and published over 150 papers in archival journals and proceedings of refereed conferences. He is a member of the Royal Institution of Naval Architects IMO Committee and has served on several committees of the International Towing Tank Conference.
Presentation Synopsis
Wind to Wake Assessment of Future Marine Fuels and Powertrains
There is considerable uncertainty around future fuels for shipping, with hydrogen, ammonia and methanol all under consideration. In our current research we use time domain voyage energy demand profiles to simulate the fuel used and emissions for various ship types, including a large liquefied natural gas carrier, a cruise ship and a container ship. Alternative ship power systems are investigated using carbon-based fuels, ammonia and hydrogen, either using internal combustion engines or fuel cells. For all voyage and fuel scenarios the combination of hydrogen and fuel cells is found to use less renewable energy than ammonia and methanol, with the least emissions.
Professor Dr. Jasmine Siu Lee Lam is Maritime Chair Professor at Technical University of Denmark. Jasmine’s research interests include maritime and port logistics, data analytics, sustainability, and risk management. Before joining DTU, she was the founding Centre Director and Principal Investigator of Maritime Energy and Sustainable Development Centre of Excellence at Nanyang Technological University, Singapore. She also served as the Director at the President’s Office and other university leadership positions. Leading an R&D team and working closely with industry and government agencies, she has completed over 78 technical/ consultancy projects and published extensively in leading journals. Regarding professional service and leadership, she holds prestigious international appointments, such as Expert Advisor to organisations, scientific programme chair, journal editor, Vice President and Council Member of International Association of Maritime Economists. She is honoured being among the world’s top 0.2% scientists according to a global list published by Stanford University. Furthermore, Jasmine is the recipient of many awards, including Top Scholar Grand Award, Erasmus Mundus Faculty Scholar Award awarded by the European Commission, National Day Award from the President of Singapore, and 8 Best Paper Awards.
Presentation Synopsis
Data Analytics for Maritime Sustainability
Attention to global warming and pollution has triggered the wave of sustainability research and innovation to enhance environmental performance. This presentation discusses data analytics methods and applications in conducting research for maritime sustainability. It covers carbon capture, emission monitoring and prediction, and energy management with machine learning. The presentation also provides practical examples from Denmark and Singapore.
Dr Li Tie is a professor, doctoral supervisor, director of Institute of Power Plants and Automation, director of COSCO-SJTU Joint Laboratory of Green and Intelligent Marine Power Systems in Shanghai Jiao Tong University (SJTU). He received his BS in 1997 and MS in 2000 from Dalian University of Technology, China and Ph.D in 2004 from Kinki University, Japan. Before joining SJTU in 2011, Dr Li worked as an assistant professor in Hokkaido University, Japan for about 8 years. His academic interests are majored in low-/zero-carbon energy and fuels, optical diagnostics for spray and combustion, engine combustion and exhaust emission controls, waste heat recovery, hybrid power systems, numerical simulation and digital twins of marine propulsion systems. He has published 180+ research papers and 30+ patents. He is a recipient of several academic awards including the JSAE Medal Award (2009), SAE International Ralph R. Teetor Educational Award (2013), Shanghai Pujiang Talent Award (2013), the Annual Best Paper Award of CSICE (2016), ILASS-ASIA Best Paper Award (2020), Best Paper Award of Annual Conference on Carbon Neutral and Emission Control for Internal Combustion Power (2022 &2023), Top 10 Paper Award of the World Congress of ICEs (2024), and Elsevier Most Cited Chinese Researcher (2014-2023). Dr Li serves as the board member for several academic organizations such as CSICE, CSNAME, ITTC-ESD, ICLASS as well as academic journals such as JMSE, TCSICE.
Presentation Synopsis
A Six-Dimension Framework for Digital Twins of Marine Engine Systems
Digital twin plays an important role in the processes of realising decarbonisation, digitisation and intelligence of marine propulsions for maritime transportation. However, digital twin modeling of marine engine systems faces the challenges of multidisciplinary knowledge, multi-scale, real time, complex structure, and so on. In this work, a six-dimension digital twin framework is proposed, which includes the physical entity, virtual equipment, hardware-in-the-loop, application service, big database as well as communication connection. The digital twin framework and relevant methodologies are described in detail for marine engine systems. Application of the hardware-in-the-loop in the digital twin modeling is further expounded with a single-cylinder marine engine test system as an example. The new digital twin framework and modeling methodologies will be valuable reference for construction of digital twins of complex systems such as marine power plants for intelligent controls, unmanned operations, and predictable maintenance.
Huan LIU is a professor at the School of Environment at Tsinghua University, China. She is Newton Senior Scholar and Outstanding Young Scientist by National Natural Science Foundation. Her research field is global and urban scale traffic emissions and atmospheric effects. Huan has led the development in the theory, models, methods and algorithms for complex traffic systems, and stereoscopically analysing the impact of traffic emissions on multi-scale atmospheric and population health effects. The research results have been published in Nature Climate Change, Nature Sustainability, Nature Cities, Nature Communications, Science Bulletin, etc., and have been widely cited by peers. She also served as member or consultant for several international projects, partnership and research councils, editor or youth editor for several journals.
Presentation Synopsis
Unlocking Insights with Big Data for Clean and Decarbonised Shipping
The ambitious targets for shipping emissions reduction and challenges for mechanism design call for new approaches to encourage decarbonisation. Here we build a compound model chain (Voyage-based Shipping Emission Inventory Model (VoySEIM) and a Global Trade Emission Matrix of Shipping (GTEMS)) to deconstruct global international shipping emissions to fine-scale trade flows and propose trade-linked indicators to measure shipping emissions efficiency. International maritime trade in 2018 contributes 746.2 Tg to shipping emissions of CO2, of which 17.2% is contributed from ten out of thousands of trade flows at the country level. We found that if the total import and export volume of each commodity is left unchanged but trading partners are optimised, the global shipping CO2 emissions of international trade commodities can ideally be reduced by 38%, an amount equivalent to 284.0 Tg.
Dr Liu Ming holds a Ph.D. in Physical Chemistry from Nankai University, China in 2002. He started his career as a postdoctoral fellow at Bar Ilan University, Israel before he relocated to Singapore, where he began a rewarding 7-year tenure at the Institute of Environmental Science and Engineering (IESE), Nanyang Technological University, focusing on environmental and clean energy research with a keen emphasis on Singapore's maritime industry needs.
For the following 13 years, Dr Liu has built an extensive portfolio while working with Ecospec Pte Ltd, Keppel Offshore & Marine Technology Centre (KOMtech), and Maritime Energy & Sustainable Development (MESD). His expertise spans marine emission control, alternative marine fuels, and advanced safety simulations for ammonia bunkering. His work has gained recognition within the global maritime R&D community, fostering collaborations with leading industry players. Over the last three years, he has successfully managed projects exceeding S$2 million in value.
Presentation Synopsis
Ammonia Bunkering: Understanding Dispersion Behavior in Accidental Releases
Ammonia, as an emerging low-carbon marine fuel, is poised for large-scale adoption in the maritime industry. However, the establishment of ammonia bunkering facilities and the increase in associated operations raise significant concerns about its toxicity. Any loss of containment (LOC) could pose serious risks to operators, adjacent facilities, and the environment.
The maritime industry currently lacks a comprehensive understanding of ammonia dispersion in marine environments, where factors such as large water bodies and high humidity play a critical role. Additionally, there is insufficient knowledge about effective mitigation strategies for ammonia releases under various bunkering scenarios.
To address these challenges, the Maritime Energy and Sustainability Development (MESD), alongside its partners, is at the forefront of ammonia bunker safety research. Through a combination of theoretical modelling and real-world experimental trials, MESD is providing valuable insights into ammonia dispersion behavior, paving the way for safer and more sustainable bunkering practices.
Szu Hui NG is Associate Professor and Head at the Department of Industrial Systems Engineering and Management, National University of Singapore (NUS). She is also currently the Research Track Leader for shipping and logistics transportation at the Centre of Maritime Studies (CMS) and an affiliate researcher at the Energy Studies Institute (ESI) at NUS. She holds B.S., M.S., and Ph.D. degrees in Industrial and Operations Engineering from the University of Michigan. Her research interests include computer simulation analysis and optimization, applications of simulation to maritime transportation and maritime decarbonization. Szu Hui has been active in maritime research since joining NUS, completing various projects on shipping emissions and decarbonization, and also on shipping network design and operations management for various government agencies and shipping companies. In addition, she has various publications on the tracking and estimation of global shipping emissions and carbon intensity, and on uncertainty quantification methods for these estimates. She has also served as an expert reviewer for the Fourth IMO GHG Study, comprehensive impact assessment of the short-term measures and the mid-term measures. Szu Hui was awarded the Singapore Maritime Institute Fellowship in 2024.
Presentation Synopsis
Charting a course through the uncertainties of maritime energy transition
Achieving net-zero emissions in maritime shipping requires navigating multiple uncertainties—ranging from technological and operational challenges to the unpredictable landscape of green fuels cost and supply. Although interim efficiency measures offer short-term benefits, the long-term transition hinges on adopting low-carbon alternative fuels. This study examines fleet renewal planning, emphasizing that robust, adaptive strategies are essential to navigate these uncertainties.
Professor Adam Sobey is Programme Director of Data-Centric Engineering at The Alan Turing Institute and Professor of Data-Centric Engineering in the Maritime Engineering group at the University of Southampton. He is also a Non-Executive Director at Theyr Ltd, a MetOcean and Voyage Optimisation Software provider, and at AQ, provide tools for Digital Assurance.
Prof Sobey completed his degree in Astronautics at the University of Southampton in 2006 and his PhD in the Maritime Engineering group in 2010 using AI in the design of leisure boats. From 2009 he managed the Lloyd’s Register/Ministry of Defence Centre of Excellence in Marine Structures at Southampton, developing new techniques to model damaged ships. This research was incorporated into Lloyd’s Register’s design guidance and in 2015 he was awarded the Royal Institution of Naval Architect’s Jeom Paik Award for stochastic analysis of ship structures. In 2014, he became a Lloyd’s Register Educational Trust funded Research Fellow with 50% of his time seconded to the Institute of High Performance Computing in Singapore, developing novel algorithms in Evolutionary Computation. In 2015 he was a co-Investigator for the University of Southampton Lloyd’s Register Foundation University Technology Centre in “Ship Design for Enhanced Environmental Performance”. He became a lecturer in the Maritime Engineering group in 2018 and was asked to start a team in Marine and Maritime within the Data-Centric Engineering programme at The Alan Turing Institute in 2019 with Gabriel Weymouth. He became the first Professor in Data-Centric Engineering in 2022 and Programme Director for Data-Centric Engineering in 2023.
Prof Sobey is interested the development of Artificial Intelligence and Machine Learning approaches with applications in Engineering, particularly focused on reducing emissions and improving safety. He is an Executive Editor for the Data-Centric Engineering Journal and Ships and Offshore Structures. He has generated a range of products from his research, mainly focused on decarbonisation in shipping.
Presentation Synopsis
Data-Centric Engineering at Scale: Developing an AI Data Engineer
AI and Machine Learning are changing engineering. We have more data and computer power than ever before. This has allowed us to start to use data at a scale that we have not been able to in the past. This is particularly exciting in applications where the modelling is complex and experiments are expensive. In recent years the development of a pure data model is becoming trivial in many applications. If we have high quality data then we can easily build models with a high accuracy. However, to truly see the pervasiveness of these approaches, we will need to be able to deploy them at scale. For example, a power prediction model for a ship is easy to generate. However, what if we need to develop 100 models, or 1,000 or perhaps even 10,000? The difficulty comes in that the data for these ships tends to come from different data collection approaches, which record different variables and which are named differently. Perhaps they are even measured with different units. These need to be pulled into a database, cleaned and the erroneous points removed, without overly trimming the data set. The models then need to be built and quality needs to be checked. Update schedules need to be determined. The results then need to be communicated to an end user, who often isn't a data specialist. This currently requires significant effort and therefore expense. But if we want to see the best performance from these approaches, we need to build specific models for each vessel or component we are managing. We are therefore building an AI data engineer, that can build and maintain a data pipeline. Adam will outline the progress of this moonshot project and discuss future directions.
Tao Cheng (HDR, PhD, FRGS, FICE, CEng) is a Professor of Geoinformatics in the Department of Civil, Environmental, and Geomatics Engineering at University College London (UCL). She serves as the Theme Lead for Mobility at the Alan Turing Institute and is a member of the College of Experts (CoE) for the Department for Transport, UK. Prof Tao is also the Founder and Director of UCL SpaceTimeLab (www.ucl.ac.uk/spacetimelab), a world-leading research centre that leverages SpaceTimeAI to gain actionable insights and foresights from spatio-temporal data for government, business, and society.
Her research interests span AI and Big Data, network complexity, and urban analytics with applications in transport and mobility, safety and security, public health, business intelligence, and natural hazards prevention. She has secured more than £25M in research grants in the UK and EU, collaborating with government and industrial partners, including Transport for London, the Metropolitan Police Service, Public Health England, and Arup, among others. Prof Tao has published over 350 research articles and received numerous international best paper awards. Please refer to https://profiles.ucl.ac.uk/10774 for further details.
Presentation Synopsis
SpatioTemporal AI for Digitalisation and Decarbonisation of Maritime
This talk will explore recent progress in SpatioTemporal AI and its applications in advancing digitalisation and decarbonisation within the maritime sector. It will showcase how artificial intelligence (AI) and digital twin technologies are being leveraged to enhance safety, improve security, and trace the carbon footprint of human mobility. By presenting practical solutions, the talk highlights the environmental, social, and economic benefits of integrating SpatioTemporal AI into maritime operations. Additionally, it proposes a vision for the future of maritime decision-making through the development of Spatiotemporal Intelligence, harnessing data and AI to create smarter, more efficient maritime systems.
Zhang Shuang, Ph.D., is a researcher at the Institute of Shipping Development of Dalian Maritime University, the head of the Greenhouse Gas Emission Reduction Research Office of the International Maritime Research Committee of the China Maritime Safety Administration (affiliated with Dalian Maritime University), a consultant to the Marine Environmental Protection Professional Research Committee of the International Maritime Research Committee of the Ministry of Maritime Safety, and a director of the China Society of Marine Law. Since 2006, engaged in international conventions and maritime policy research in the field of greenhouse gas emissions reduction from ships. Served as a technical advisor to the Chinese delegation of the International Maritime Organization (IMO) Environmental Protection Committee (MEPC) and a negotiation representative for ship energy efficiency and maritime greenhouse gas emissions reduction issues. Led the drafting of over 60 IMO proposals and transformed them into international conventions, rules, and guiding documents; formerly served as the coordinator of the inter committee communication group for the mandatory technical guidelines on carbon intensity for IMO ships and the inter committee communication group for the life cycle assessment of marine fuels, and was also the core author of the fourth greenhouse gas study by IMO; selected into the IMO Global Technical Expert Database and awarded the "Outstanding Individual in Commemorating the 50th Anniversary of China's Restoration of its Legitimate Seat in the International Maritime Organization" and the "Brazilian Navy Merit Medal".
Presentation Synopsis
IMO Net-Zero Framework: Latest Progress in International Mechanisms for Reducing Greenhouse Gas Emissions from Ships
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