Prof Ge Chen | Oceanography | Best Researcher Award

Prof Ge Chen | Oceanography | Best Researcher Award

Professor at Ocean University of China , China

Ge Chen is a Professor at the Ocean University of China, specializing in ocean remote sensing and satellite oceanography. With extensive experience in artificial intelligence applications in marine sciences, Chen has made significant contributions to understanding ocean dynamics through innovative methodologies and collaborative research.

Profile

orcid

Academic Background & Education πŸŽ“:

Ge Chen completed her Ph.D. in Oceanography at the Ocean University of China. Her academic journey includes valuable experiences as a visiting scholar at the University of California, Irvine, enhancing her expertise in ocean remote sensing and satellite applications.

Current Position:
  • Professor, Ocean University of China
  • Deputy Director, Advanced Institute of Oceanography, OUC
  • Chief Scientist for Ocean Satellite, Laoshan Laboratory, China

Professional Experience πŸ§‘β€πŸ«:

Chen has held several prestigious positions, currently serving as a professor and deputy director, while also leading ocean satellite initiatives at the Laoshan Laboratory. Her career is distinguished by her leadership in national and international research projects, significantly advancing the field of oceanography.

Research Interests πŸ”

Chen’s research interests encompass ocean remote sensing, satellite oceanography, and the application of artificial intelligence to enhance oceanographic data analysis. She aims to bridge technology and science for improved understanding of marine environments.

Awards and Honors πŸ†

Ge Chen has received several accolades for her contributions to oceanography, including recognition for her pioneering research in satellite data utilization and its implications for climate studies.

Strengths for the Award 🌟

Her strengths lie in her innovative approach to integrating AI with oceanographic research, her ability to lead multidisciplinary teams, and her dedication to advancing scientific knowledge through collaboration and mentorship.

Areas for Improvement πŸ“ˆ

Chen aims to further develop her skills in interdisciplinary research collaboration and expand her engagement with policy-making to ensure that scientific insights effectively inform environmental strategies.

Publication Top Notes : Oceanography

  • Chen et al. (1994): Explores mean sea level and surface variability in eastern China Seas, laying foundational insights for satellite altimetry applications in coastal regions.
  • Chen & Ezraty (1996): Investigates sea level variability and tidal propagation around Antarctica, enhancing understanding of ocean dynamics in polar regions.
  • Chen et al. (1997): Provides a joint perspective on global oceanic precipitation using TOPEX data, contributing to climate modeling and ocean-atmosphere interaction studies.
  • Chen et al. (2003): Examines global oceanic precipitation, establishing a climatological framework that informs meteorological and oceanographic research.
  • Chen et al. (2010): Analyzes seasonal-to-decadal sea level variability using merged altimeter data, offering crucial insights for understanding ocean circulation patterns.
  • Chen & Wang (2015): Develops an algorithm for estimating mixed layer depth, advancing methodologies in oceanographic data analysis.
  • Chen et al. (2019): Proposes a conceptual design for the “Guanlan” science mission, highlighting China’s strategic contributions to global oceanography.
  • Chen & Han (2019): Contrasts mesoscale eddy dynamics, providing valuable data for climate change and ocean circulation studies.
  • Chen et al. (2022): Discusses “Deep Blue AI,” illustrating the integration of artificial intelligence in ocean science, bridging data analysis and knowledge generation.
  • Chen et al. (2023): Investigates eddy propagation dynamics, enhancing understanding of ocean currents and their environmental implications.

Dr Chengcheng Qian | Oceanography | Best Researcher Award

Dr Chengcheng Qian | Oceanography | Best Researcher Award

Senior Engineer atΒ North China Sea Marine Forecasting and Hazard Mitigation Center,Ministry of Natural Resources , China

Chengcheng Qian, born on July 21, 1986, is a distinguished researcher in ocean remote sensing and big data applications in marine science. Currently based at the North China Sea Marine Forecasting and Hazard Mitigation Center, she has a strong background in cartography and geographic information systems, enriched by her experiences as a visiting scholar in Germany and a joint Ph.D. candidate in the USA.

Profile

orcid

Academic Background

  • Ph.D. in Cartography and Geographic Information System
    Ocean University of China, 2009 – 2015
  • Visiting Scholar
    University of Bremen, Germany, September 2015
  • Joint Ph.D. in Ocean Remote Sensing Application
    University of California, Irvine, USA, 2013 – 2014

Professional Experience

  • Postdoctoral Researcher
    Various projects focusing on marine big data, ocean remote sensing, and climate studies.
  • Principal Investigator (PI)
    Led multiple projects funded by national and provincial programs, including research on precipitation’s influence on sea-air carbon dioxide flux and oil spill extraction using big data mining.

Research Focus

  • Analysis of global precipitation under climate change
  • Quality control of marine big data
  • Investigation of wind-induced rain drift in satellite measurements

Research Interests πŸ”

Her research interests encompass ocean remote sensing applications and big data mining, aimed at understanding climate change effects and enhancing marine data quality.

Awards and Honors πŸ†

Chengcheng has received several prestigious awards, including the Doctoral Candidate Creative Foundation from Ocean University of China and the China Postdoctoral Science Foundation, recognizing her contributions to marine research.

Strengths for the Award 🌟

Her strengths include a robust analytical background, experience in interdisciplinary research, and the ability to lead innovative projects that bridge technology and marine science.

Areas for Improvement πŸ“ˆ

Chengcheng aims to enhance her collaboration with international research networks and develop advanced data analytics skills to further innovate in oceanography.

Projects

  • Doctoral Candidate Creative Foundation of Ocean University of China: Global precipitation analysis under global warming based on remote sensing data (PI, 2014-2015).
  • China Postdoctoral Science Foundation: Oil spill extraction based on marine big data mining (PI, 2015-2017).
  • National Natural Science Foundation: Research on precipitation influence on sea-air carbon dioxide flux (PI, 2020-2022).
  • National Key Research and Development Program of China: Cloud database construction (Task PI, 2018-2021).
  • Shandong Provincial Key Laboratory of Marine Ecology and Environment & Disaster Prevention and Mitigation Program (PI, 2020-2021).
  • Hubei Key Laboratory of Marine Geology Program (PI, 2023-2025).

Publications πŸ“šΒ  Oceanography

Chengcheng has authored and co-authored numerous impactful publications, including:

  • Qian, C., J.-Y. Yu, and G. Chen (2014). Decadal summer drought frequency in China: The increasing influence of the Atlantic Multi-decadal Oscillation, Environmental Research Letters, 9(12): 124004.
  • Qian, C., and G. Chen (2014). Warmer-get-wetter or wet-get-wetter? A criterion to classify oceanic precipitation, Journal of Ocean University of China, 13(4): 552-560.
  • Qian, C., H. Jiang, X. Wang, and G. Chen (2019). Climatology of Wind-Seas and Swells in the China Seas from Wave Hindcast, Journal of Ocean University of China, 18(6): 1-11.
  • Qian, C., A. Liu, R. Huang, Q. Liu, W. Xu, S. Zhong, and L. Yu (2019). Quality control of marine big dataβ€”a case study of real-time observation station data in Qingdao, Journal of Oceanology and Limnology, https://doi.org/10.1007/s00343-019-8258-y.
  • Qian, C., and G. Chen, D. Guo, and W. Xu (2018). Vertical structure analysis of ocean temperature and salinity using depth series EOF method with Argo data, Proceedings of 2018 International Conference on Big Data Technologies.
  • Qian, C., and G. Chen (2011). Impact analysis and error correction of wind induced rain drift in satellite remote sensing measurement, Journal of Remote Sensing, 15(5): 1079-1091.
  • Qian, C., B. Huang, X. Yang, and G. Chen (2021). Data science for oceanography: from small data to big data, Big Earth Data, DOI: 10.1080/20964471.2021.1902080.
  • Qian, C., and G. Chen (2018). Big Data Science for Ocean: Present and Future, Bulletin of the Chinese Academy of Sciences, 8:884-891.
  • Cao, C., G. Chen, C. Qian, and J. Shang (2022). Spatiotemporal variability and climate teleconnections of global ocean wave power, Frontiers in Marine Science, doi: 10.3389/fmars.2022.900950.
  • Chen, G., C. Qian, and C. Zhang (2012). New insights into annual and semiannual cycles of sea level pressure, Monthly Weather Review, 140(4): 1347-1355.