Mr. Xi Zhou | Information Technology Awards | Best Researcher Award
Mr. Xi Zhou, Jiyang College, Zhejiang A&F University, China
Professional Profile:
Summary of Suitability for Best Researcher Award: Xi Zhou
Xi Zhou is a distinguished Associate Professor at Jiyang College of Zhejiang A&F University, with a robust academic background and significant contributions to the field of financial risk management. His research is particularly relevant to the Best Researcher Award, as he has explored critical issues, such as the impact of natural resource depletion on energy security risks, as highlighted in the article “How does natural resource depletion affect energy security risk? New insights from major energy-consuming countries,” co-authored with renowned researchers including Pang, L., Liu, L., and Ullah, S.
Education ๐:
- Ph.D. in Communications Engineering
- Institution: Beijing University of Posts and Telecommunications, Beijing, China
- Year: 2021
Work Experience ๐ผ:
- Associate Professor
- Institution: Jiyang College of Zhejiang A&F University, Zhejiang, China
- Duration: Since 2013
Research Interests ๐:
- Financial Risk Management
Achievements ๐:
- Publications:
- More than 60 articles
- 2 books
Professional Leadership ๐:
- Director of the Zhejiang Society of Business Economics
Awards and Honors ๐:
- Third Prize for Excellent Achievements
- Awarded by the Chinese Society of Technology and Economics
- Shaoxing Philosophy and Social Sciences Outstanding Achievement Award
- First and Second Prizes for Excellent Academic Papers
- Awarded in Natural Sciences in Zhuji City
Publication Top Notes:
How does natural resource depletion affect energy security risk? New insights from major energy-consuming countries
Semantic Progressive Guidance Network for RGB-D Mirror Segmentation
Ripple-Spreading Network of China’s Systemic Financial Risk Contagion: New Evidence from the Regime-Switching Model
Credit Risk Evaluation of Forest Farmers under Internet Crowdfunding Mode: The Case of Chinaโs Collective Forest Regions
Boundary-aware pyramid attention network for detecting salient objects in RGB-D images
Multi-layer fusion network for blind stereoscopic 3D visual quality prediction