Rubing Li | Business | Young Scientist Award

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Dr. Rubing Li | Business | Young Scientist Award

PhD student/Lecturer, Wuhan Univerity/Jianghan University, China

Rubing Li is a dedicated accounting researcher with expertise in corporate tax avoidance and corporate governance. She earned her Ph.D. in Accounting from Wuhan University in 2016 and participated in a Ph.D. Cotutelle program at Macquarie University, Australia. She holds an MSc in Economics, Accounting, and Finance from the University of Bristol and a Bachelor of Commerce in Accounting from Griffith University. Rubing has served as a tutor at Jianghan University and has received multiple academic excellence awards. She actively participates in international conferences, including the European Accounting Association and AFAANZ. Her research explores the regulatory impacts on corporate tax strategies. She is an ACCA-certified professional and a member of the Golden Key International Honor Society. Beyond academia, Rubing contributes to community service and volunteer initiatives.

Publication Profile

Orcid Profile

🎓 Education 

Ph.D. in Accounting (2016) – Wuhan University, China. Ph.D. Cotutelle Program (2017) – Macquarie University, Australia. MSc in Economics, Accounting & Finance (2015) – University of Bristol, UK (Merit). Bachelor of Commerce (2013) – Griffith University, Australia (GPA: 6.06/7, Major: Accounting)

💼 Experience 

Tutor (2015-2016) – Jianghan University, Wuhan, China Taught Accounting Principles to undergraduate students. Developed course materials and guided students in financial reporting

🏆 Awards & Honors 

Griffith University Academic Excellence Award (2011-2012, 2012-2013) – Top 5%. Golden Key International Honor Society – Lifetime Member. Association of Chartered Certified Accountants (ACCA) – Exemptions from F1-F9. National Study Abroad Fund Award (2017). Paper selected for the European Accounting Association (2019)

🔬 Research Focus

Corporate Tax Avoidance – Investigating the causes and economic consequences. Corporate Governance – Analyzing financial transparency and compliance. Regulatory Impact on Taxation – Studying China’s tax policies through quasi-natural experiments

Publication Top Notes

  • Title: Regional Administrative Monopoly and Corporate Tax Avoidance: Evidence from a Quasi-Natural Experiment in China
  • Author: Rubing Li
  • Journal: Asia-Pacific Journal of Accounting & Economics
  • Publication Date: January 30, 2025
  • DOI: 10.1080/16081625.2025.2459700
  • ISSN: 1608-1625 / 2164-2257

 

Vaishnavee Rathod | Analysis | Best Researcher Award

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Ms. Vaishnavee Rathod | Analysis | Best Researcher Award

Research Scholar, Department of Computer Science Engineering SVNIT SURAT INDIA India

Vaishnavee Vijay Rathod is a Ph.D. candidate at SVNIT Surat, focusing on remote sensing and deep learning. She has earned her B.E., M.Tech., and is currently pursuing her Ph.D., with a specialized focus on satellite imaging, machine learning, and image processing. Vaishnavee has published multiple papers in renowned journals and conferences, contributing significantly to the fields of medical image analysis, remote sensing, and AI-based systems. She has also received recognition for her work, including the Best Paper Award at an international conference in 2020. Her innovative research on vehicle detection using computer vision and AI has gained attention in smart city development.

 

Publication Profile

Scopus Scholar

🎓 Education

Vaishnavee completed her B.E. in Electronics and Telecommunication in 2018 from Thakur College of Engineering and her M.Tech. in Electronics and Digital Image Processing from GHRIET Nagpur in 2020. She is currently pursuing a Ph.D. in Satellite Imaging and Deep Learning at SVNIT Surat, specializing in deep learning-driven satellite image classification. Throughout her academic journey, she has achieved distinction and published several research papers in prominent conferences and journals.

💼 Experience

Vaishnavee has significant experience as a research scholar in deep learning and image processing. Her Ph.D. research includes the development of models for satellite image analysis and AI-based vehicle detection systems using UAV data. She has contributed to over 10 publications, including SCI-indexed journals and prestigious conferences. Additionally, Vaishnavee has been a recipient of several project funding awards, including SSIP 2.0 funding for her “RoadMitra” AI-based system project, showcasing her expertise in smart city technologies.

🏆 Awards & Honors

Vaishnavee has been recognized for her research contributions, including the “Best Paper Award” at the International Conference on Engineering Systems Design and Optimization in 2020. She has received various honors, including funding under SSIP 2.0 for her smart city project “RoadMitra,” aimed at detecting road issues using UAVs. Additionally, she has won awards for her research excellence and has received numerous accolades for her participation in international conferences and workshops.

🔬 Research Focus

Vaishnavee’s research focuses on the intersection of satellite imaging, remote sensing, and deep learning. She works on developing deep learning models for efficient satellite image classification and vehicle detection systems using UAV technology. Her work also extends to image enhancement, biomedical image processing, and AI applications in smart city infrastructure. Vaishnavee’s research contributes to the development of innovative solutions for urban challenges, including road crack detection, traffic analysis, and the enhancement of healthcare technologies using AI.

Publication Top Notes

  • Title: Deep learning-driven UAV vision for automated road crack detection and classification
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Journal: Nondestructive Testing and Evaluation (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: Road Crack Detection and Classification Using UAV and Deep Transfer Learning Optimization
    • Authors: Rathod, V., Rana, D., Mehta, R.
    • Journal: Journal of the Indian Society of Remote Sensing (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: A computer vision approach to vehicle detection, classification, and tracking from UAV data for Indian traffic analysis
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G., Nath, V.
    • Journal: IETE Journal of Research (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: An Extensive Review of Deep Learning Driven Remote Sensing Image Classification Models
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Conference: Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT 2022)
    • Citations: 4