Ruiwen Wu | Aquatic Zoology | Best Researcher Award

Published on by Popular Scientist

Dr. Ruiwen Wu | Aquatic Zoology | Best Researcher Award

Associate Professor | Shanxi Normal University | China

Dr. Ruiwen Wu is a researcher at Shanxi Normal University whose work centers on the taxonomy, phylogeny, biodiversity, and conservation of freshwater mussels and other bivalves. Her research integrates morphological, molecular, and phylogenomic approaches to uncover hidden diversity, describe new species, and refine the systematic classification of Unionidae and related taxa. She has significantly contributed to understanding the evolutionary relationships and biogeography of endemic Chinese freshwater mussels, advancing knowledge on their genetic diversity, population structure, and ecological adaptations. Her publications in high impact journals such as Invertebrate Systematics, ZooKeys, Zoologica Scripta, Freshwater Biology, and BMC Genomics demonstrate her expertise in combining integrative taxonomy with conservation biology. Dr. Wu’s studies have also addressed broader ecological issues, including biodiversity loss due to habitat alteration and dam construction. Her research outputs include detailed phylogenetic reconstructions, mitochondrial genome analyses, and biogeographic assessments that inform species conservation strategies and contribute to global freshwater biodiversity studies. As an active reviewer for several international journals, she supports the advancement of rigorous scientific scholarship in evolutionary biology and aquatic ecology. Through her extensive body of work, Dr. Wu has established herself as a leading figure in freshwater mollusk systematics, contributing valuable insights into species diversity, evolutionary history, and conservation priorities within aquatic ecosystems.

Profile: Scopus

Featured Publications

Wu, R., (2025). Diversity, phylogeny and distribution of the subtribe Cristariina (Bivalvia: Unionidae: Unioninae) from China, with description of a new genus and species. Invertebrate Systematics.

Wu, R., (2025). Underestimated diversity: A new species of the genus Cuneopsis (Bivalvia, Unionidae, Unioninae) from Henan, China. Zoosystematics and Evolution.

Wu, R., (2025). Revisiting the genus Nodularia (Bivalvia, Unionidae): Mitochondrial phylogenomics and the description of a new species. Zoosystematics and Evolution.

Wu, R., (2025). Corrigendum to: Cryptic species, mitochondrial phylogenomics and historical biogeography in the endemic genus Schistodesmus (Bivalvia, Unionidae) from China.

Guiting Song | Oceanography | Best Researcher Award

Published on by Popular Scientist

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