Fan Wang | Data Analysis | Best Researcher Award

Mrs. Fan Wang | Data Analysis | Best Researcher Award

Mrs. Fan Wang, Xi’an Shiyou University, China .

Mrs. Fan Wang is a Lecturer at Xi’an Shiyou University, China, specializing in imaging, image processing, data analysis, and machine learning. She earned her Ph.D. and Master’s degrees in Graphic and Image Processing from Northwestern Polytechnical University, Xi’an, China. With a strong academic foundation, Dr. Wang is passionate about advancing methodologies in image processing and applying machine learning to solve complex visual data challenges. Her expertise in data-driven approaches continues to inspire innovation and impactful contributions to the field of computational imaging. πŸ’»πŸ“Š

Publication Profile

ScopusΒ πŸ“š

Education and Experience

Education
  • Ph.D. in Theory and Methods of Graphic and Image Processing, Northwestern Polytechnical University, Xi’an, China (2018–2022)Β πŸŽ“
  • M.S. in Theory and Methods of Graphic and Image Processing, Northwestern Polytechnical University, Xi’an, China (2015–2018)

Experience

  • Lecturer, Xi’an Shiyou University, Xi’an, China (2022–present)Β πŸŽ“πŸ“

Suitability for the Award

Mrs. Fan Wang, a dedicated researcher and Lecturer at Xi’an Shiyou University, specializes in imaging, image processing, data analysis, and machine learning. With a Ph.D. and M.S. in Theory and Methods of Graphic and Image Processing from Northwestern Polytechnical University, she has demonstrated expertise in advanced computational techniques. Her contributions to innovative research and academic excellence make her a strong contender for the Best Researcher Award.Β πŸ†

Professional Development

Mrs. Fan Wang is a researcher and educator specializing in cutting-edge techniques in imaging and machine learning. With a Ph.D. in Graphic and Image Processing, she has developed advanced skills in data analysis and the application of AI algorithms to enhance image interpretation and processing. Currently a Lecturer at Xi’an Shiyou University, Dr. Wang is committed to fostering innovation and knowledge dissemination through teaching and collaborative research. Her work integrates computational intelligence with visual data, advancing impactful solutions in imaging technologies. πŸŒ±πŸ’‘

Research Focus

Mrs. Fan Wang’s research lies at the intersection of imaging and artificial intelligence. She focuses on developing innovative methods for image processing, leveraging data analysis to optimize the extraction of meaningful information from complex visual datasets. Her work also involves applying machine learning techniques to automate and enhance image interpretation for diverse applications. Dr. Wang aims to address challenges in computational imaging by combining theory with practical solutions, driving advancements in visualization technologies for academic and industrial use.Β πŸ”πŸ€–

Awards and Honors

  • Ph.D. Scholarship Award, Northwestern Polytechnical University (2022)Β πŸ…
  • Recognized for Excellence in Research during Graduate Studies (2018–2022)
  • Best Presentation Award in Machine Learning Symposium (2021)Β πŸ†
  • Published high-impact research in top-tier journals on imaging and AI methods
  • Contributor to innovative methodologies in graphic and image processing

Publication Highlights

  • πŸ“–Β Intensifying graph diffusion-based salient object detection with sparse graph weightingΒ (2023) – Cited by: 0
  • πŸ“–Β Graph construction by incorporating local and global affinity graphs for saliency detectionΒ (2022) – Cited by: 3
  • πŸ“–Β Saliency detection based on color descriptor and high-level priorΒ (2021) – Cited by: 3
  • πŸ“–Β Graph-based saliency detection using a learning joint affinity matrixΒ (2021) – Cited by: 4
  • πŸ“–Β Saliency detection via coarse-to-fine diffusion-based compactness with weighted learning affinity matrixΒ (2021) – Cited by: 1
  • πŸ“–Β Salient object detection via cross diffusion-based compactness on multiple graphsΒ (2021) – Cited by: 4
  • πŸ“œΒ Salient Object Detection via Quaternionic Local Ranking Binary Pattern and High-Level PriorsΒ (2019, Conference Paper) – Cited by: 0
  • 🌊 Underwater Image Restoration Based on Background Light Estimation and Dark Channel PriorΒ (2018) – Cited by: 25

Prof. Jianfeng Guo | Big Data Analysis in Innovation | Best Researcher Award

Prof. Jianfeng Guo | Big Data Analysis in Innovation | Best Researcher Award

Prof. Jianfeng Guo, University of Chinese Academy of Sciences, China

Prof. Jianfeng Guo is a distinguished professor at the Energy and Environmental Policy Research Center of the Institute of Policy and Management, Chinese Academy of Sciences (CAS), where he has been a key figure since 2010 and has served as a professor since 2018. He earned his Ph.D. in Mechanical Engineering and Automation from Zhejiang University in 2007 and completed postdoctoral research at Tsinghua University. Jianfeng’s research spans Energy and Environmental Policy, Big Data Analysis, Technology Foresight, Decision Support Systems, and Knowledge Management. He has led over 60 significant projects, including collaborations with Baidu Big Data Lab and Ant Financial Services Group, and has published more than 90 papers and holds multiple patents and software copyrights. His international experience includes visits to top institutions and collaborations with global software companies.

🌍 Professional Profile

Scopus

πŸŽ“ Education

Jianfeng Guo earned his Ph.D. in Mechanical Engineering and Automation from Zhejiang University in December 2007. He completed postdoctoral research at the CIMS Engineering Research Center of Tsinghua University from January 2008 to December 2009. He was a Senior Visiting Scholar at NEC China Research Institute from August 2009 to March 2010.

πŸ”¬ Research Interests

Jianfeng specializes in Energy and Environmental Policy, Big Data Analysis, Technology Foresight, Decision Support Systems, and Knowledge Management.

🏒 Current Position

Since March 2010, Jianfeng has been with the Energy and Environmental Policy Research Center of the Institute of Policy and Management, Chinese Academy of Sciences (CAS), where he has served as a professor since 2018. He is also the Director of the Research Department for Think Tank Construction at the Institutes of Science and Development, CAS.

🌐 Notable Projects & Collaborations

Jianfeng has led over 60 projects, including NSFC projects, national programs, and enterprise-commissioned projects. He has collaborated with Baidu Big Data Lab and Ant Financial Services Group, contributing to advancements in big data and financial security.

πŸ“ Publications & Patents

He has published more than 90 papers, including over 60 in international journals, and holds 4 invention patents and 15 computer software copyrights.

🌍 International Experience

Jianfeng has visited prestigious institutions such as the University of Oldenburg, Imperial College, and Cambridge University, and worked with international software companies like ASCORA and TIE.

Publication Top Notes:

  • Title: Graph-based algorithm for exploring collaboration mechanisms and hidden patterns among top scholars
    • Cited by: 1
    • Year: 2024
  • Title: A framework of cloud-edge collaborated digital twin for flexible job shop scheduling with conflict-free routing
    • Cited by: 3
    • Year: 2024
  • Title: Simulation research on the evolution pathway planning of energy supply and demand in China under the dual carbon targets
    • Cited by: 2
    • Year: 2023
  • Title: Electric vehicle adoption and local PM2.5 reduction: Evidence from China
    • Cited by: 7
    • Year: 2023
  • Title: Pathways for municipalities to achieve carbon emission peak and carbon neutrality: A study based on the LEAP model
    • Cited by: 53
    • Year: 2023