Scopes
(The following topics include but are not limited to)
Track 1: Marine Engineering and Deep Sea Exploration Technologies
Deep-sea resource development and seabed mining technologies
Design and safety assessment of submarine pipelines, risers, and mooring systems
Hydrodynamics and fluid-solid coupling mechanics of marine engineering structures
Design and operation techniques of deep-sea submersibles (HOV/ROV/AUV)
Ocean observation platforms, sensor networks, and underwater observation networks
Underwater acoustic detection, imaging, and sonar system technologies
Deep-sea environmental monitoring, topographic mapping, and geological surveys
Marine energy equipment (offshore wind power, wave energy, tidal energy)
Marine geotechnical mechanics and underwater foundation engineering
Structural mechanics response of polar and ice zone marine engineering
Marine engineering digital twins and full life cycle management
Port and marine engineering safety and disaster prevention and mitigation
Track 2: Ship Design and Power Systems
Overall design of intelligent ships and multidisciplinary optimization
Ship structural strength, vibration analysis, and vibration reduction and noise reduction technologies
Ship power system modeling, simulation, and smart grid
New energy ship power systems (hydrogen fuel, batteries, hybrid power)
Ship power system simulation, intelligent control, and fault diagnosis
Ship energy conservation and low-carbon power integration technologies
Ship digital twins and intelligent operation
Ship manufacturing robots, automation, and intelligent assembly systems
Ship materials (composite materials, corrosion-resistant materials) and manufacturing processes
Marine power devices and marine engineering technology
Ship micro intelligent power grid and multi-energy power network
Ship noise source identification and low-noise design
Track 3: Intelligent Navigation and Autonomous System Technologies
Ship intelligent navigation, path planning, and automatic obstacle avoidance
Motion control and cluster collaboration of autonomous underwater vehicles (AUV)
Underwater communication, underwater optical communication, and underwater sensor networks
Ship Automatic Identification System (AIS) and maritime communication technology (GMDSS)
Multi-sensor data fusion and intelligent perception systems
Ship state monitoring and predictive maintenance based on big data
Application of artificial intelligence and machine learning in marine engineering
Ship autonomous decision-making and remote monitoring control systems
Underwater positioning and navigation (inertial navigation, acoustic navigation, geophysical navigation)
Intelligent target recognition, classification, and intelligent analysis of underwater acoustic data
Edge computing and real-time underwater acoustic environment perception
Intelligent emergency response systems and marine environmental protection ......
Track 1: Marine Engineering and Deep Sea Exploration Technologies
Deep-sea resource development and seabed mining technologies
Design and safety assessment of submarine pipelines, risers, and mooring systems
Hydrodynamics and fluid-solid coupling mechanics of marine engineering structures
Design and operation techniques of deep-sea submersibles (HOV/ROV/AUV)
Ocean observation platforms, sensor networks, and underwater observation networks
Underwater acoustic detection, imaging, and sonar system technologies
Deep-sea environmental monitoring, topographic mapping, and geological surveys
Marine energy equipment (offshore wind power, wave energy, tidal energy)
Marine geotechnical mechanics and underwater foundation engineering
Structural mechanics response of polar and ice zone marine engineering
Marine engineering digital twins and full life cycle management
Port and marine engineering safety and disaster prevention and mitigation
Track 2: Ship Design and Power Systems
Overall design of intelligent ships and multidisciplinary optimization
Ship structural strength, vibration analysis, and vibration reduction and noise reduction technologies
Ship power system modeling, simulation, and smart grid
New energy ship power systems (hydrogen fuel, batteries, hybrid power)
Ship power system simulation, intelligent control, and fault diagnosis
Ship energy conservation and low-carbon power integration technologies
Ship digital twins and intelligent operation
Ship manufacturing robots, automation, and intelligent assembly systems
Ship materials (composite materials, corrosion-resistant materials) and manufacturing processes
Marine power devices and marine engineering technology
Ship micro intelligent power grid and multi-energy power network
Ship noise source identification and low-noise design
Track 3: Intelligent Navigation and Autonomous System Technologies
Ship intelligent navigation, path planning, and automatic obstacle avoidance
Motion control and cluster collaboration of autonomous underwater vehicles (AUV)
Underwater communication, underwater optical communication, and underwater sensor networks
Ship Automatic Identification System (AIS) and maritime communication technology (GMDSS)
Multi-sensor data fusion and intelligent perception systems
Ship state monitoring and predictive maintenance based on big data
Application of artificial intelligence and machine learning in marine engineering
Ship autonomous decision-making and remote monitoring control systems
Underwater positioning and navigation (inertial navigation, acoustic navigation, geophysical navigation)
Intelligent target recognition, classification, and intelligent analysis of underwater acoustic data
Edge computing and real-time underwater acoustic environment perception
Intelligent emergency response systems and marine environmental protection ......
Important Dates/重要日期
- Submission Deadline: 2026.9.15
- Registration Deadline: 2026.9.22
- Conference Date: 2026.9.30
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: coartn_aeps@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
蒋老师
+86-15680824672(微信同号)
3761629232
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+86---(微信同号)
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