Guofeng Wu | Coastal Management | Best Researcher Award

Dr. Guofeng Wu | Coastal Management | Best Researcher Award

Student | East China Normal University | China

Guofeng Wu is a dedicated doctoral candidate at East China Normal University, focusing on Physical Geography. She has a strong background in Geographic Information Science, having earned her bachelor’s degree from Tianjin Normal University. Guofeng’s research is primarily centered on multi-hazard risk management and simulation assessment in coastal cities, addressing the challenges posed by climate change.

Strengths for the Award ๐Ÿ†

Dr. Guofeng Wu has demonstrated a remarkable commitment to advancing knowledge in multi-hazard risk management, particularly in coastal cities. Her research, particularly her papers on compound flooding due to sea level rise, land subsidence, and tropical cyclones, showcases a deep understanding of complex environmental challenges.

Education ๐ŸŽ“

Guofeng completed her Bachelorโ€™s degree in Geographic Information Science at Tianjin Normal University from 2018 to 2022. She is currently pursuing her Ph.D. in Physical Geography at East China Normal University, where she is deepening her expertise in risk management strategies for coastal environments.

Experience ๐Ÿ’ผ

As a researcher, Guofeng has authored two significant papers. The first, titled “Modelling the combined impact of sea level rise, land subsidence, and tropical cyclones in compound flooding of coastal cities,” was published in the SCI journal Ocean & Coastal Management. Her second paper, “Risk Assessment of Extreme Rainfall and Storm Surge Compound Flooding in Coastal Cities under Sea Level Rise Scenarios: A Case Study of Haikou City,” appeared in the Chinese core journal Tropical Geography. Guofeng is also leading two ongoing projects related to flooding hazards in typhoon-prone regions.

Research Interests ๐Ÿ”

Guofeng’s research interests encompass multi-hazard risk management, particularly the interaction of tropical cyclones, storm surges, and sea-level rise. Her work aims to develop simulation assessments that improve understanding and preparedness for coastal cities facing these compounded threats.

Awards ๐Ÿ†

Guofeng Wu is nominated for the Best Researcher Award at the Marine Scientist Awards. Her contributions to understanding compound flood risks significantly impact coastal resilience strategies, making her a strong candidate for recognition.

Publications ๐Ÿ“š

  1. Wu, G., Liu, Q., Xu, H., & Wang, J. (2024). Modelling the combined impact of sea level rise, land subsidence, and tropical cyclones in compound flooding of coastal cities. Ocean & Coastal Management, 252, 107107. https://doi.org/10.1016/j.ocecoaman.2024.107107
  2. Wu Guofeng, Liu Qing, Xu Hanqing, Wei Xuchen, and Wang Jun. (2024). Risk Assessment of Extreme Rainfall and Storm Surge Compound Flooding in Coastal Cities under Sea Level Rise Scenarios: A Case Study of Haikou City. Tropical Geography, 44(6), 1025-1035. https://doi.org/10.13284/j.cnki.rddl.20230854

Conclusion ๐ŸŒŠ

In conclusion, Guofeng Wu stands out as an exceptional candidate for the Best Researcher Award, exemplifying the qualities of a dedicated and impactful marine scientist. Her innovative research on multi-hazard risk management addresses pressing environmental challenges and contributes significantly to the field of marine science. By continuing to enhance her collaborative efforts and public engagement, she is poised to make even more substantial contributions to the scientific community and society at large. Recognizing her with this award would not only honor her accomplishments but also encourage the advancement of critical research in marine science.

Zhongchao Zhao | Marine Economics | Best Researcher Award

Dr. Zhongchao Zhao | Marine Economics | Best Researcher Award

Doctor student | Ocean University of China | China

Short Bio

D. Zhongchao Zhao is a Ph.D. student at the School of Economics, Ocean University of China, specializing in Corporate Finance, Corporate Governance, and Energy Markets. With a keen interest in data-driven approaches, Zhao integrates predictive modeling and machine learning techniques to explore sustainable development in energy markets.

Profile

Scholar

Education ๐Ÿ“š

Zhao holds a Bachelor’s degree in Accounting from Shandong University of Science & Technology (2015-2019), a Master’s degree in Finance from Ocean University of China (2019-2021), and is currently pursuing a Ph.D. in Applied Economics at Ocean University of China (since 2021).

Experience ๐Ÿ’ผ

Zhao serves as an anonymous reviewer for prestigious journals such as Applied Energy and Journal of Infrastructure, Policy and Development. Additionally, Zhao supports the editorial functions at Marine Development as an assistant to the deputy editor, contributing insights into maritime economics and policy.

Research Interests ๐ŸŒ

Zhao’s research interests span Corporate Finance and Governance, Energy Markets, and the application of Hybrid Prediction Models in Data Science. Utilizing skills in algorithm design, machine learning, and natural language processing (NLP), Zhao explores innovative solutions to complex economic and environmental challenges.

Awards ๐Ÿ†

Zhao’s contributions have been recognized with several awards, including:

Third Prize, 17th “Huawei Cup” China Postgraduate Mathematical Contest in Modelling (2020)

Second Prize, 18th “Huawei Cup” China Postgraduate Mathematical Contest in Modelling (2021)

First Prize, Qingdao Statistical Modelling Competition (2021)

Second Prize, Shandong Postgraduate Statistical Scheme Design and Analysis Competition (2022)

First Prize for Outstanding Social Science Achievements in Shandong Province (2023)

Publications ๐Ÿ“

Marine Policy, 2023: A Bibliometric Review on Marine Economy: Current Status, Development and Future Directions. Link

Ocean and Coastal Management, 2023: Exploring the Role of Technical and Financial Support in Upgrading the Marine Industrial Structure in the Bohai Rim Region. Link

Applied Energy, 2022: Probability density forecasts for natural gas demand in China: Do mixed-frequency dynamic factors matter? Link

Energy, 2021: Probability density forecasts for steam coal prices in China: The role of high-frequency factors. Link

Journal of Research on Technology in Education, 2022: Does online teaching strategy matter: Exploring the effect of online teaching strategies on students’ ambidextrous innovation capacities based on the online teaching situation in China. Link