Prof. Xiaoxia Wan | Sensing Technology | Excellence in Innovation

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Prof. Xiaoxia Wan | Sensing Technology | Excellence in Innovation 

Prof. Xiaoxia Wan, Wuhan University, China

Wan Xiaoxia, is a distinguished professor and doctoral supervisor specializing in color science and technology. She is currently a faculty member in the Department of Printing and Packaging at Wuhan University, where she has served since 2018. Wan holds a Ph.D. in Cartography and Geographic Information Systems from Wuhan University, and her educational background includes a Master’s in Geographic Information Systems and a Bachelor’s in Cartography from the same institution. Her academic journey was enriched by her experience as a senior visiting scholar at the Munsell Color Science Laboratory, California State University, and Rochester Institute of Technology. In addition to her teaching role, she holds several significant positions, including Deputy Director of the Teaching Guidance Committee for Light Industry Majors of the Ministry of Education and member of both the China Printing and Color Standardization Technical Committees. Wan has received numerous awards for her teaching and research, including the National Excellent Course designation for her course “Introduction to Printing” and recognition as a leading talent in the news and publishing industry. Her research has led to successful projects funded by the National Natural Science Foundation of China, focusing on color reproduction methods for cultural relics. Wan’s contributions to her field have been acknowledged through several prestigious awards, including the Hubei Science and Technology Progress Award and the China National Textile and Apparel Council Science and Technology Award.

Professional Profile:

SCOPUS

Summary of Suitability for Excellence in Innovation: Wan Xiaoxia

Dr. Wan Xiaoxia is a highly qualified candidate for the Excellence in Innovation award, distinguished by her extensive contributions to color science and technology, particularly in the realm of printing and packaging. Her pioneering research and leadership roles in various educational and professional organizations reflect her commitment to advancing innovation in her field.

Education 🎓

  • Senior Visiting Scholar
    Munsell Color Science Laboratory, California State University, Los Angeles and Rochester Institute of Technology (2004-2006)
  • Ph.D. in Engineering
    Cartography and Geographic Information Systems, Wuhan University (1995-2002)
  • Master of Engineering
    Geographic Information Systems, Wuhan University of Surveying and Mapping (1992-1995)
  • Bachelor of Engineering
    Cartography, Wuhan University of Surveying and Mapping (1982-1986)

Work Experience 💼

  • Professor & Doctoral Supervisor
    Department of Printing and Packaging, Wuhan University (2018-present)
  • Vice Dean
    School of Journalism and Communication, Wuhan University (2000-present)
  • Lecturer
    School of Printing Engineering, Wuhan University of Surveying and Mapping (1996-2000)
  • Teaching Assistant
    Department of Cartography, Wuhan University of Surveying and Mapping (1986-1992)
  • Doctoral Supervisor
    School of Printing and Packaging, Wuhan University (2004-present)

Achievements 📚

  • National Excellent Course
    “Introduction to Printing” (2008)
  • National Excellent Shared Course
    “Introduction to Printing” (2010)
  • National Bi Sheng Newcomer Award (2009)
  • Suzhou Industrial Park Leading Talent (2012)
  • Hubei Province News and Publishing Figures (2012)
  • National News and Publishing Industry Leading Talent (2013)
  • Wuhan City Huanghe Talent (2014)
  • Wuhan University Excellent Teaching and Research Achievement First Prize (2008)
  • Hubei Province Higher Education Teaching Achievement First Prize (2008, 2018)

Awards & Honors 🏆

  • Second Prize of Hubei Science and Technology Progress Award
    Key Technology and Application of Color Reproduction Based on Spectrum (2020)
  • Dunhuang Academy “Excellent Academic Achievement Award”
    Protection Technology Category, Second Prize (2017)
  • China National Textile and Apparel Council Science and Technology Award
    Key Technology and Industrialization of Full-Color Yarn Manufacturing, Second Place (2016)

Publication Top Notes:

A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic Algorithm

Enhancement of laser-induced surface coloring through laser double-scan method

Prediction model for laser marking colors based on color mixing

A Novel Correction Method of Kubelka–Munk Model for Color Prediction of Pre-colored Fiber Blends

Dynamic Projection Method of Electronic Navigational Charts for Polar Navigation

Spectral missing color correction based on an adaptive parameter fitting model

 

Best Aerospace Sensing Technology

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Introductio Best Aerospace Sensing Technology

Welcome to the Best Aerospace Sensing Technology Award, celebrating innovation and excellence in aerospace technology.

Award Eligibility:

Open to individuals and teams worldwide, this award recognizes outstanding achievements in aerospace sensing technology. There are no age limits, and both professionals and students are eligible. Qualifications include a demonstrated commitment to advancing aerospace sensing technology through publications, projects, or research.

Evaluation Criteria:

Submissions will be evaluated based on the innovation, impact, and practicality of the aerospace sensing technology. Judges will consider the quality and relevance of the research or project, as well as its potential to advance the field.

Submission Guidelines:

To apply, submit a detailed description of the aerospace sensing technology, including any relevant publications or supporting materials. Submissions must be received by the deadline to be considered.

Recognition:

Winners will receive a cash prize and recognition at an awards ceremony. Additionally, winning projects may be featured in industry publications or conferences.

Community Impact:

The Best Aerospace Sensing Technology Award aims to recognize technologies that have the potential to significantly impact the aerospace industry, improving safety, efficiency, or performance.

Biography:

Include a brief biography highlighting your achievements and contributions to aerospace sensing technology.

Abstract and Supporting Files:

Provide a concise abstract summarizing your aerospace sensing technology. Include any supporting files, such as publications or project documentation, to strengthen your submission.

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Best Overall Sensing Technology

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Introduction Best Overall Sensing Technology

Welcome to the Best Overall Sensing Technology Award, celebrating innovation and excellence in sensing technology. This award recognizes groundbreaking contributions that have the potential to revolutionize industries and improve the quality of life.

About the Award: The Best Overall Sensing Technology Award is open to individuals and teams who have developed cutting-edge sensing technologies. There are no age limits for applicants, and both academic and industry professionals are eligible to apply. Publications related to the sensing technology are encouraged but not required.

Eligibility:

  • Open to individuals and teams
  • No age limits
  • Academic and industry professionals eligible
  • Publications encouraged but not required

Qualifications: Applicants should have a strong background in sensing technology, demonstrated through academic achievements, professional experience, and innovative contributions to the field.

Submission Guidelines:

  • Submit a detailed description of the sensing technology
  • Include supporting documents such as publications, patents, and technical specifications
  • Provide a biography highlighting relevant experience and achievements
  • Include an abstract summarizing the technology and its potential impact
  • Submit supporting files, such as videos, images, or prototypes, if available

Evaluation Criteria: Submissions will be evaluated based on the following criteria:

  • Innovation and creativity
  • Technical merit
  • Potential impact on industry or society
  • Feasibility and scalability

Recognition: Winners of the Best Overall Sensing Technology Award will receive a cash prize, a certificate of achievement, and recognition on our website and social media platforms. They will also have the opportunity to present their technology at a special event.

Community Impact: The award aims to promote collaboration and knowledge sharing within the sensing technology community, fostering a culture of innovation and advancement in the field.

Biography: Applicants should provide a brief biography highlighting their relevant experience, qualifications, and achievements in the field of sensing technology.

Abstract and Supporting Files: Applicants should include an abstract summarizing their sensing technology and its potential impact. Supporting files such as videos, images, or prototypes can also be submitted to supplement the application.