Junsheng Wang, Dalian Maritime University, China

Junsheng Wang, Professor and Doctoral Supervisor at Dalian Maritime University. He serves as the Director of the Key Laboratory of Marine Sensing and Intelligent Detection Technology in Liaoning Province, a member of the university's Academic Committee, and the Chair of the Department of Optoelectronic Information Science and Engineering. Professor Wang has been selected as a leading young and middle-aged talent in the transportation industry, a leading talent in scientific and technological innovation under the "Xingliao Talent Program" in Liaoning Province, and has been among the first batch of young top-notch talents under this program. Additionally, he has been recognized as a top-tier talent in the "Hundred, Thousand and Ten Thousand Talent Project" of Liaoning Province.
With a long-standing dedication to the development of sensing technology and equipment for marine environments, ship, and port applications, Professor Wang has published over 120 academic papers. He holds 34 national invention patents in China and one Japanese patent. He has led 33 research projects, including key national research projects and National Natural Science Foundation projects. His contributions have been recognized with numerous awards, including the First Prize for Technological Invention in Liaoning Province, the First Prize for Technological Invention from the China Institute of Navigation, the First Prize for Marine Engineering Science and Technology, the Innovation Team Award from the Chinese Society of Naval Architecture and Marine Engineering (as team leader), the Outstanding Contribution Award for Maritime Science and Technology in China, the Second Prize for Scientific and Technological Progress from the Chinese Society for Measurement, and the China Patent Award, bringing his total to 17 prestigious accolades.

Speech title "LOC-based Intelligent Detection Technology for Coastal Ecology and Pollution"

Abstract-In the increasingly urgent context of coastal ecosystem preservation, effective monitoring of offshore microorganisms and pollutants is critical. This presentation introduces a pioneering approach utilizing lab-on-a-chip (LOC) technology for the intelligent detection and analysis of coastal ecology and pollution. This research focuses on microfluidic chip technology to enable the real-time detection of various microorganisms and pollutants directly in the marine environment. These microfluidic chips miniaturize and integrate several laboratory processes, resulting in a highly sensitive, efficient, and portable detection system. Paired with advanced artificial intelligence (AI) methodologies, the collected data from LOC devices is processed to provide comprehensive analysis and predictive insights. AI algorithms analyze patterns and trends in real-time, facilitating early warning systems that can preempt potential ecological disruptions and inform timely intervention strategies.
 

 

Weixing Chen, Shanghai Jiao Tong University, China

Associate Professor at the School of Mechanical Engineering, Shanghai Jiao Tong University, Ph.D. supervisor, and Director of the Marine Intelligent Equipment Research Center at Shanghai Jiao Tong University. Chen is engaged in research on energy self-sustaining ocean robots, wave energy harvesting technology, wave compensation technology of parallel robot, and other related areas. As the principal investigator, he has led more than ten projects funded by the National Natural Science Foundation of China, the National Defense Science and Technology Innovation Zone, and others. Chen has published over 40 SCI papers as the first-author/corresponding-author in journals such as OE and RE, and granted more than 20 national invention patents. He also serves as a young editorial board member for "Journal of Mechanical Transmission" and an editorial board member for "Ship Engineering."

Speech title "An energy self-sustaining ocean robot integrated with in-situ wave energy converter"

Abstract-The lack of continuous power supply constrains the performance of ocean robots when executing ocean operations. Extracting energy from the wave is a feasible solution for ocean robots to overcome the energy limitations. However, the power output of existing in-situ wave energy converter (WEC) is restricted by their power generation principle and can hardly meet the power demand of the robot. Here we propose a novel wave-powered ocean robot that possesses two operation modes: namely the WEC mode and the Robot mode. In the WEC mode, the robot floats to the sea surface and expands the wing to enlarge the energy harvesting surface. Then, the robot converts the wave energy into the relative rotation between the body and wings, driving the generator to produce electricity and charge the battery. When switched into the Robot mode, the ocean robot folds the wing to reduce the sailing resistance and execute underwater operations. Based on this working principle, the coupled fluid-electric-mechanical dynamic model that describes the wave energy harvesting process is established in both time domain and frequency domain. Then, the prototype that integrates the function of mode switching and wave energy capturing is designed and fabricated. In the wave tank experiment, the feasibility of working with two operation modes is demonstrated and the wave energy capturing performance under regular waves is tested, verifying the accuracy of the dynamic model. Finally, the sea trial is conducted near Dongji Island, Zhoushan, where the experiment results show that the average power output of the prototype in sea state 3 reaches up to 20W.

 

Shengnan Wu China University of Petroleum (Beijing), China

Wu Shengnan is an associate professor at China University of Petroleum (Beijing), and she is also a key member of the Key Laboratory of Oil and Gas Safety and Emergency Technology of the Ministry of Emergency Management. She has been engaged in complex oil and gas exploitation, oil and gas critical safety equipment risk assessment, early warning, reliability and test maintenance research for more than 12 years. She has been awarded the honorary titles of "Young Top Talent" by China University of Petroleum (Beijing) and "Outstanding Science and Technology Paper of Beijing Youth". She has presided over the projects of the National Natural Science Foundation, key research and development project and sub-project, postdoctoral Science Fund and Young Top-notch Talent Fund, and participated in more than 10 national major science and technology special sub-projects as a research backbone. In these areas, she has published more than 40 academic research papers at home and abroad, and participated in the compilation of 2 academic monograph. She has won 3 science and technology Grand prizes of China Occupational Safety and Health Association and 4 other provincial and ministerial awards. She has applied for 4 invention patents and 4 software Copyrights. She was also invited to be the editorial board member of International journal of reliability and safety and Petroleum Science. She serves as an reviewer for internationally renowned SCI Journal in the field of Reliability Engineering & System Safety, Safety Science, Process Safety and Environmental Protection and Journal Reviewer of Loss Prevention in the Process Industries, and maintain long-term scientific research cooperation and exchange with Norwegian University of Science and Technology, University of Science and Technology of Denmark.

Abstract-Subsea production pipelines play a crucial role in oil and gas production, serving functions such as transporting hydrocarbons, connecting, and supporting equipment. They are essential for ensuring the smooth operation of deepwater production systems and the success of oil and gas extraction. However, in the complex marine environment, pipelines are prone to damage from factors such as corrosion, fatigue, and third-party activities, which increase the risk of leaks. To prevent such incidents, it is necessary to thoroughly investigate the damage mechanisms of subsea pipelines under complex multi-field coupling conditions and implement scientific structural health monitoring techniques to assess the pipeline's condition. This allows for timely intervention to mitigate pipeline failures caused by damage. In this study, we consider the pressures experienced by pipelines operating in deepwater, the internal and external temperatures, axial stresses, and the electrochemical reactions between seawater corrosive agents and the pipeline. We establish an analysis model for external corrosion damage of pipelines under thermo-mechanical-electrochemical multi-field coupling. The damage mechanisms of pipelines with defects under various risk factors are comprehensively studied, and a corrosion degradation-driven method for predicting external pipeline corrosion is proposed. Using the SST k-ω turbulence model and numerical simulation, we develop a fluid-structure interaction analysis model, taking a subsea "M" jumper as an example. This model investigates the vortex-induced vibration response characteristics of the pipeline under the combined action of external uniform flow and internal fluid, and evaluates the fatigue damage of the pipeline under various internal and external flow combinations.