Intelligent Marine Technology Workshop Proposal for PRICAI 2025

Workshop on Intelligent Marine Technology

The Workshop on Intelligent Marine Technology aims to bring together researchers and practitioners working at the intersection of artificial intelligence and marine science. The focus is on novel AI methodologies for marine robotics, ocean data analysis, underwater communication, and autonomous maritime systems. With increasing attention on ocean sustainability and exploration, intelligent technologies play a key role in enhancing operational efficiency, decision-making, and autonomous control in challenging underwater environments. This workshop aligns with PRICAI 2025’s focus on practical AI applications across diverse domains.

• Primary objectives: To provide a platform for interdisciplinary exchange between AI and marine technology researchers, highlight recent advances in AI applications for underwater robotics, environmental monitoring, and ocean data analysis and explore challenges and future directions for intelligent systems in marine environments.

• Intended scope: This workshop focuses on the application of artificial intelligence techniques—including machine learning, computer vision, reinforcement learning, and swarm intelligence—to key areas of marine technology. Topics include autonomous underwater vehicles (AUVs), underwater object recognition, intelligent sensor networks, oceanographic data processing, and marine environmental forecasting. Other topics using AI and machine learning for helping or improving all marine, aquaculture, fisheries and seafood solutions in planting, growing, harvesting, health as well as farming environment are also welcome.

• Target audience: The workshop targets AI researchers, marine scientists, robotics engineers, graduate students, and professionals in oceanic research and technology development. It will also appeal to those interested in applying AI methods to real-world physical and environmental challenges.

• Desired length: Full day

• Structure and format:

  ①　Opening keynote by a leading expert in marine robotics or AI for environmental applications.

  ②　Paper presentations (oral or poster) grouped into thematic sessions.

  ③　Panel discussion on “The Future of Intelligent Marine Systems: Challenges and Collaboration”.

  ④　Concluding remarks and networking session.

  ⑤　All the submission must use Springer Template, and the template can be found https://pricai.org/2025/index.php/submission..

  ⑥　Submission deadline：31 August, 2025
  Notification：20 September, 2025

• Engagement plan: We will encourage audience participation through Q&A after each session, live polls during panel discussions, and a dedicated Slack/Discord channel for continuous interaction throughout the workshop. Selected papers will be invited to submit extended versions to a special issue of the journal Intelligent Marine Technology and Systems, https://link.springer.com/collections/gjifjcffab.

• Prof. Gai-Ge Wang, Ocean University of China

  Dr. Gai-Ge Wang is a professor and PhD supervisor in the School of Computer Science and Technology at Ocean University of China. His research interests include swarm intelligence and intelligent manufacturing. He serves in multiple academic roles including Executive Committee Member of the Computational Intelligence Committee of the Shandong Artificial Intelligence Society and Member of the CCF Digital Agriculture Chapter. He has led four National Natural Science Foundation of China (NSFC) projects and received four provincial-level awards. Prof. Wang was recognized as a Highly Cited Researcher by Clarivate Analytics (2021–2022) and Elsevier (2020–2022), and has been listed among the top 2% of scientists globally. He serves as Editor-in-Chief of IJAISC and Associate Editor or Editorial Board Member of several SCI-indexed journals, such as Engineering Applications of Artificial Intelligence, Journal of Computational Design and Engineering, IEEE/CAA Journal of Automatica Sinica, and Intelligent Marine Technology and Systems.

• Prof. Qi Chen, Victoria University of Wellington

  Dr. Qi Chen is a Senior Lecturer in Artificial Intelligence at Victoria University of Wellington, New Zealand. Her research expertise lies in genetic programming, symbolic regression, evolutionary computation, and explainable AI, with a strong emphasis on model interpretability and generalisation. Dr. Chen has published extensively in top-tier journals, including IEEE Transactions on Evolutionary Computation and IEEE Transactions on Cybernetics and has presented her work at major conferences such as GECCO and CEC. She is an active reviewer and program committee member for leading venues in evolutionary computation and machine learning. Dr. Chen also leads research projects supporting PhD and postgraduate students in the areas of interpretable machine learning and AI-driven scientific discovery.

• Prof. Junyu Dong, Ocean University of China

  Dr. Junyu Dong is a professor and Dean of the Faculty of Information Science and Engineering at Ocean University of China. He is also a doctoral supervisor and a recognized national-level talent in scientific innovation. He currently serves as Chair of ACM Qingdao Chapter and as a member of the International Academic Committee of ISBlue (France). His research focuses on computer vision, underwater imaging, and ocean big data analytics. Prof. Dong has led numerous national and provincial projects, including six NSFC grants and one major instrumentation project. He has published over 80 papers in top-tier international journals, holds six authorized Chinese invention patents, and has received a second-class Natural Science Award from Shandong Province.

• Expected participants: We expect around 30–50 participants including academic researchers, students, and industry practitioners.
• Promotion strategy: The workshop will be promoted through the PRICAI website, social media (WeChat), and personal networks of the organizers. Calls for papers will be distributed via EasyChair and relevant academic forums. We will also collaborate with marine research centers to reach a broader audience.Papers should be submitted through EasyChair at https://easychair.org/conferences?conf=wimt2025.

• Name: Gai-Ge Wang
• Affiliation: Ocean University of China
• Email: wgg@ouc.edu.cn