Jidan Huang | Artificial Intelligence | Innovative Research Award

Published on by Awards and Recognitions

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

Henry Ogbu | Artificial Intelligence | Best Researcher Award

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Mr. Henry Ogbu | Artificial Intelligence | Best Researcher Award

Mr. Henry Ogbu | Artificial Intelligence | Assistant Lecturer at Covenant University | Nigeria

Mr Henry Ogbu is an emerging scholar and researcher in the field of Computer and Information Science whose academic journey and professional achievements demonstrate a strong commitment to advancing artificial intelligence and computational intelligence. He pursued his higher education at Covenant University, Nigeria, where he specialized in Computer and Information Science, acquiring a solid academic foundation that enabled him to explore machine learning, optimization algorithms, and recommender systems in depth. Through his education and research training, Mr Henry Ogbu developed expertise in algorithm design, neural network optimization, and intelligent systems modeling, positioning himself as a promising academic with innovative contributions to technology-driven solutions. Professionally, Mr Henry Ogbu has participated actively in research projects, presenting his work at international conferences and publishing in peer-reviewed journals and conference proceedings indexed in Scopus and IEEE databases. His professional experience reflects a dedication to solving practical problems through artificial intelligence applications, including automated grading systems, operating system evaluation, and optimization strategies in computational models. His research interests cover deep learning, neural networks, optimization techniques, artificial intelligence, and intelligent recommender systems, with an emphasis on designing models that are efficient, scalable, and adaptable to modern computational challenges. In his published works, such as iAttention Transformer: An Inter-Sentence Attention Mechanism for Automated Grading and Application of Optimization Techniques in Recommender Systems, he demonstrates both technical rigor and practical applicability, thereby contributing to the global body of knowledge in artificial intelligence. His skills extend across several domains including advanced algorithm development, optimization modeling, neural network training, data-driven analysis, and collaborative research across interdisciplinary domains. Mr Henry Ogbu is adept in employing mathematical foundations, coding skills, and machine learning frameworks to design and evaluate systems, making his research highly relevant to academia and industry. Alongside his research expertise, he has also participated in academic leadership roles, contributing to collaborative projects and engaging with the broader research community through conference presentations and knowledge-sharing forums.

Academic Profile: ORCID | Google Scholar

Featured Publications:

Ogbu, H. N., Dada, I. D., Akinwale, A. T., Osinuga, I. A., & Tunde-Adeleke, T. J. (2025). iAttention Transformer: An inter-sentence attention mechanism for automated grading. Mathematics, 13(18), 2991.

Ogbu, H. N. (2024). Application of optimization techniques in recommender systems. Proceedings of the International Conference on Computer Science.

Ogbu, H. N. (2024). Training neural network model using an improved three-term conjugate gradient algorithm. In Proceedings of the 1st International Conference & Research Showcase on Science, Technology & Innovation (ICRS-STI 2024).

Ogbu, H. N. (2021). Comparative study of operating system quality attributes. IOP Conference Series: Materials Science and Engineering, 1107(1), 012061. — Citations: 6