Jidan Huang | Artificial Intelligence | Innovative Research Award

Innovative Research Award

Jidan Huang

Donghua University, China

Jidan Huang
Affiliation Donghua University
Country China
Scopus ID 57193425191
Documents 10
Citations 36
h-index 4
Subject Area Artificial Intelligence
Event Research Awards and Recognitions
ORCID 0000-0003-2547-0212

Jidan Huang is a Chinese academic affiliated with Donghua University whose research combines artificial intelligence, tourism decision-making, logistics management, and multi-objective fuzzy evaluation. His scholarly activities focus on sustainability assessment, intelligent decision-support systems, and advanced multi-criteria evaluation methodologies applied across tourism, management, and operations research disciplines.[1]

Abstract

This article presents a concise academic overview of Jidan Huang, Associate Professor and Senior Experimentalist at Donghua University. His work spans artificial intelligence, tourism management, logistics decision-making, sustainability evaluation, and fuzzy multi-criteria analysis, emphasizing quantitative frameworks that support evidence-based planning and intelligent decision processes across interdisciplinary research environments.[1]

Keywords

Artificial Intelligence; Tourism Management; Multi-Criteria Decision-Making; Fuzzy TOPSIS; Sustainability Assessment; Green Logistics; Decision Support Systems; Cultural Heritage Tourism; Evaluation Systems; Operations Management.

Introduction

Jidan Huang earned a Bachelor of Engineering from Shanghai Maritime University, followed by a Master of Science in Mathematics and a Doctor of Philosophy in Management Science and Engineering from Donghua University. His interdisciplinary educational background supports research integrating mathematics, management science, artificial intelligence, and applied decision analytics.[2]

Research Profile

As Associate Professor at the Glorious Sun School of Business and Management, Donghua University, Huang supervises graduate students and conducts research in tourism decision-making, logistics optimization, artificial intelligence applications, and multi-objective fuzzy evaluation. He also serves as a peer reviewer for several systems science and operations research journals.[2]

Research Contributions

  • Development of three-interval TOPSIS and fuzzy evaluation methodologies.
  • Research on sustainable tourism assessment and optimization strategies.
  • Green logistics evaluation supporting carbon peaking and carbon neutrality goals.
  • Application of artificial intelligence and neural networks in recognition systems.
  • Multi-criteria decision-making frameworks for regional and industrial evaluation.

Publications

Jidan Huang’s publication record includes research on sustainability evaluation, tourism optimization, green logistics, fuzzy decision-making, and artificial intelligence. Representative studies demonstrate the application of TOPSIS, Delphi methods, fuzzy AHP, and convolutional neural networks to address complex evaluation and recognition problems across multiple sectors.[3][4][5][6]

  1. Integrating Life Cycle Assessment and TOPSIS for Product-Level Sustainability Evaluation of Automotive Vehicles.
  2. Evaluation and Development Path Optimization of Rural Low-Altitude Tourism Using a Triangular Fuzzy TOPSIS Approach.
  3. A Model Based on Delphi and Three-Interval TOPSIS: Sustainable Evaluation of Green Logistics Under the Goals of Carbon Peaking and Carbon Neutrality.
  4. Assessing the Sustainable Development of the Tourism Industry Based on Fuzzy AHP and Grey Relational TOPSIS.
  5. Recognition Method for Stone Carved Calligraphy Characters Based on a Convolutional Neural Network.

Research Impact

According to available author metrics, Jidan Huang has produced 10 indexed publications, accumulated 36 citations, and achieved an h-index of 4. His studies contribute to sustainability evaluation, intelligent decision-making, tourism development analysis, and logistics optimization through rigorous quantitative methodologies.[1]

Award Suitability

Jidan Huang’s combination of interdisciplinary research, scholarly publication, postgraduate supervision, and educational achievements supports recognition within research award programs. His contributions to artificial intelligence applications, sustainability assessment, and decision-support methodologies demonstrate continued engagement with contemporary academic and societal challenges.[2]

Conclusion

Jidan Huang maintains an active academic profile centered on artificial intelligence, tourism management, logistics decision-making, and fuzzy evaluation systems. His research outputs, teaching achievements, and methodological contributions highlight a sustained commitment to interdisciplinary scholarship and practical decision-support research.[1]

References

  1. Elsevier. (n.d.). Scopus Author Details: Jidan Huang, Author ID 57193425191. Scopus Author Profile. https://www.scopus.com/authid/detail.uri?authorId=57193425191
  2. Zheng, M., Chen, H., & Huang, J. (2026). Integrating Life Cycle Assessment and TOPSIS for Product-Level Sustainability Evaluation of Automotive Vehicles. Sustainability. DOI: https://doi.org/10.3390/su18115615
  3. Huang, J., Chen, Y., & Pan, W. (2026). Evaluation and Development Path Optimization of Rural Low-Altitude Tourism Using a Triangular Fuzzy TOPSIS Approach. Sustainability. DOI: https://doi.org/10.3390/su18115534
  4. Li, R., Huang, J., Dai, T., & Yang, Q. (2026). A Model Based on Delphi and Three-Interval TOPSIS: Sustainable Evaluation of Green Logistics Under the Goals of Carbon Peaking and Carbon Neutrality. Sustainability. DOI: https://doi.org/10.3390/su18041920
  5. Yang, Q., Huang, J., & Pan, W. (2026). Assessing the Sustainable Development of the Tourism Industry Based on Fuzzy AHP and Grey Relational TOPSIS. Sustainability. DOI: https://doi.org/10.3390/su17219799
  6. Huang, J., Cheng, G., Zhang, J., & Miao, W. (2022). Recognition Method for Stone Carved Calligraphy Characters Based on a Convolutional Neural Network. Neural Computing and Applications. https://link.springer.com/article/10.1007/s00521-022-08049-9

Vishal Gupta | Artificial Intelligence | Best Researcher Award

Dr. Vishal Gupta | Artificial Intelligence | Best Researcher Award

Dr. Vishal Gupta | Artificial Intelligence | Assistant Professor at CGC University, Mohali | India

Dr. Vishal Gupta is an accomplished researcher and academician specializing in Web Accessibility, Assistive Technologies, Website Usability, and AI-driven web evaluation frameworks. He earned his Ph.D. from Guru Nanak Dev University, where he developed expertise in accessibility evaluation and applied computing techniques. Dr. Gupta has extensive professional experience in higher education and research, currently serving at Chandigarh Group of Colleges, where he leads research initiatives and mentors students in computer science and web accessibility projects. His research interests focus on enhancing web usability, accessibility compliance for educational and healthcare institutions, and integrating artificial intelligence for industrial and security frameworks. Dr. Gupta possesses strong research skills in website quality assessment, bi-level decision tree methodologies, AI-based vulnerability analysis, and accessibility evaluation metrics, supported by a solid record of international publications and collaborations. He has collaborated with esteemed colleagues such as Hardeep Singh, Parminder Kaur, and I. Kaur on multidisciplinary projects, reflecting his ability to lead and contribute to global research initiatives. Dr. Gupta has actively participated in professional organizations including IEEE and ACM, contributing to conferences, peer reviews, and academic committees, highlighting his leadership and community engagement. His work has been recognized with multiple awards and honors for excellence in research, innovation, and contributions to accessibility studies, reflecting his impact in the academic community. Strengths include his consistent publication record, strong interdisciplinary collaboration, and practical implementation of research findings in real-world settings. Areas for improvement involve exploring larger-scale international projects and further integrating emerging technologies into web accessibility studies. Suggestions for future work include policy-level impact analysis, open-source accessibility frameworks, and AI-enhanced methodologies for inclusive digital platforms. Dr. Gupta’s dedication, scholarly rigor, and innovative approach position him as a leader in his field with promising potential for future research contributions and societal impact, making him a highly suitable candidate for recognition in research and academic excellence.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. Gupta, V., & Singh, H. (2021). Web Content Accessibility Evaluation of Universities’ Websites-A Case Study for Universities of Punjab State in India. 8th International Conference on Computing for Sustainable Global Development, 9 citations.

  2. Gupta, V., & Singh, H. (2022). Website Readability, Accessibility, and Site Security: A Survey of University Websites in Punjab. International Journal of Mechanical Engineering, 7(6), 1-9, 3 citations.

  3. Gupta, V., Singh, H., & Kaur, P. (2024). Accessibility Evaluation of Hospital Websites in India. International Journal of Computer Applications & Information Technology, 14, 1 citation.

  4. Gupta, V., Kaur, I., Singh, S., Kumar, V., & Kaur, P. (2025). Artificial Intelligence-empowered Industrial Framework for Extreme Vulnerability Analysis. Future Generation Computer Systems, 108127, citation data not available.

  5. Gupta, V., Kaur, P., & Singh, H. (2024). Bi-Level Decision Tree Approach for Web Quality Assessment. IEEE Access, citation data not available.