Ming Chen | Naval Architecture | Research Excellence Award

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Dr. Ming Chen | Naval Architecture | Research Excellence Award

Lecturer | Zhejiang Ocean University | China

Dr. Ming Chen is a researcher in ocean engineering whose work integrates composite structures with artificial intelligence–driven design methodologies. His research focuses on intelligent modeling, uncertainty quantification, and reliability optimization of underwater composite shells, addressing complex buckling and structural performance challenges. He has developed data-driven and Bayesian machine learning frameworks that enhance prediction accuracy while significantly reducing computational cost, validated through experimental testing. His scholarly contributions include multiple articles in internationally indexed journals, an active patent output, and leadership in several research projects. Professionally, he contributes through academic teaching, research supervision, and advancing intelligent design approaches for next-generation ocean engineering structures.

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Guiting Song | Oceanography | Best Researcher Award

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Prof. Guiting Song | Oceanography | Best Researcher Award

Professor at Sun Yat-Sen University, China

Guiting Song is a tenured professor and Ph.D. supervisor at Sun Yat-sen University, where he leads the Smart Marine Meteorology Team. He holds dual Ph.D. degrees in Meteorology (University of Hamburg, Germany) and Physical Oceanography (Institute of Oceanology, Chinese Academy of Sciences), as well as an MBA from the University of Birmingham, UK.

Profile:

Educational Background:

Dr. Song earned a PhD in Meteorology from the University of Hamburg, Germany, and another PhD in Physical Oceanography from the Institute of Oceanology, Chinese Academy of Sciences. He also holds a Master’s in Business Administration (MBA) from the University of Birmingham, UK, and a Bachelor’s degree in Meteorology from the Ocean University of China.

Professional Experience:

He is currently a Tenured Professor and Ph.D. Supervisor at Sun Yat-sen University, where he founded the Smart Marine Meteorology Team and developed precision marine weather forecasting, navigation, and renewable energy meteorology products. His career includes leadership roles in Beijing Xinzhi Technology Co., Ltd. and Envision Digital in Singapore, as well as research positions with the Meteorological Service of Singapore, Terra Weather, the University of Guanajuato in Mexico, and Nanyang Technological University. His expertise covers smart meteorology, power forecasting, marine navigation, climate change research, and coupled ocean–atmosphere modeling.

Awards and Recognition:

Dr. Song has received multiple national and international awards, including innovation and entrepreneurship honors, national-level talent recognition, overseas talent program awards, and product excellence accolades in smart meteorology.

Research and Projects:

He has led and contributed to numerous projects in smart marine weather navigation, renewable energy forecasting, climate change modeling, and hydropower prediction. His collaborations span global institutions such as NCAR, UK Met Office, IBM TWC, and the Hong Kong Observatory.

Publications and Patents:

Dr. Song is the author of a substantial body of scientific publications in high-impact journals covering meteorology, oceanography, renewable energy forecasting, and climate systems. He holds several international patents related to wind speed forecasting, WRF model optimization, and meteorological model enhancements.

Publication:

  • Validation of the medium-range and sub-seasonal forecast of solar irradiance and wind speed using ECMWF