Innovative Research Award
Lei Xue
Beijing Forestry University, China
Lei Xue is a researcher and educator affiliated with Beijing Forestry University, China, whose academic work spans industrial design, art and technology, Kansei engineering, product form design, and interdisciplinary innovation methodologies. The recognition associated with the Innovative Research Award acknowledges scholarly contributions to design science, user-centered engineering methodologies, and educational innovation in applied arts and humanities disciplines.[1] The researcher’s work demonstrates a sustained engagement with product aesthetics, fuzzy logic systems, user experience analysis, and multidisciplinary educational models integrating art and technology.[2]
Abstract
The academic profile of Lei Xue reflects research activity focused on industrial design optimization, Kansei engineering applications, fuzzy logic modeling, and interdisciplinary art and technology education. The researcher’s scholarly contributions address product image systems, train seat design optimization, multisensory educational toy development, and integrated teaching methodologies using correlation analysis techniques.[2] Through a combination of engineering-based evaluation models and user-centered design methodologies, the research demonstrates the integration of aesthetics, functional design, and computational analysis within contemporary design science.[3]
Keywords
Kansei Engineering, Industrial Design, Product Form Design, Arts and Humanities, Fuzzy Logic, Product Optimization, Design Science, Art and Technology, Educational Innovation, Human-Centered Design, Multisensory Design, Pearson Correlation Analysis, Train Seat Design, Interactive Product Systems, Research Innovation.
Introduction
Contemporary industrial design research increasingly incorporates computational intelligence, emotional engineering frameworks, and interdisciplinary methodologies to address user experience and product innovation challenges. Within this context, Lei Xue has contributed to research exploring the intersection of engineering systems, aesthetics, and human perception.[4] The researcher’s publications focus on product image optimization systems, fuzzy logic applications in design evaluation, educational toy development, and integrated pedagogical models combining artistic and technological approaches.[5]
The body of work associated with this research profile demonstrates engagement with both theoretical and practical aspects of design innovation. Publications in applied sciences, human-computer interaction, and engineering technology contribute to ongoing academic discussions regarding user-centered product development and intelligent design systems.[6]
Research Profile
Lei Xue is affiliated with Beijing Forestry University in Beijing, China. The researcher has established a scholarly profile within the areas of design studies, industrial product development, art and technology integration, and engineering-oriented design optimization methodologies.[1] According to indexed academic records, the researcher maintains a Scopus profile with seven indexed documents, ninety-nine citations, and an h-index of four.[1]
The research themes associated with the profile include:
- Kansei engineering applications in product development and emotional design analysis.
- Industrial product optimization using fuzzy logic and gray relational analysis.
- Educational innovation combining art, technology, and data-driven teaching methodologies.
- Multisensory and spatial intelligence-based toy design frameworks.
- User-centered transportation seating and product interface design.
Research Contributions
A significant contribution of Lei Xue’s research involves the development of optimized product image decision systems integrating Kansei engineering methodologies.[2] The associated studies analyze emotional responses and consumer-oriented perceptions in product design environments through structured computational models.
The researcher has also contributed to train seat design optimization using gray relational analysis and fuzzy logic systems. These investigations address ergonomic evaluation, visual perception, and user preference modeling within transportation product design.[3]
Additional contributions include the exploration of educational toy design using multiple intelligence theory and multisensory frameworks.[5] Such studies extend industrial design principles into educational and developmental applications, particularly in relation to spatial intelligence and sensory engagement.
Research related to integrated teaching models based on Pearson correlation analysis further demonstrates interdisciplinary engagement between technology-oriented education systems and artistic learning frameworks.[6]
Publications
- Research on optimized product image design integrated decision system based on Kansei engineering, Applied Sciences, 2020.
- An approach of the product form design based on gra-fuzzy logic model: A case study of train seats, International Journal of Innovative Computing, Information and Control, 2019.
- A method of the product form design and color design of train seats based on GRA-Fuzzy theory, Journal of Engineering Technology, 2018.
- Children’s Toy Design Based on Multiple Intelligence Theory – Research Case of Spatial Intelligence Children’s Toy Design, International Conference on Human-Computer Interaction, 2023.
- Children’s toy design process based on the kano-AHP-FBS model: Case of multisensory educational toys, International Conference on Culture-Oriented Science and Technology, 2023.
- Research on the Integrated Innovative Teaching Model of Art and Technology Based on Pearson Correlation Analysis, International Conference on Artificial Intelligence and Education, 2021.
Research Impact
The citation record associated with Lei Xue’s publications indicates measurable scholarly engagement within applied design and engineering research domains.[1] The researcher’s work on Kansei engineering and product image optimization has attracted significant academic attention, particularly in studies involving human-centered product evaluation systems and computational design frameworks.[2]
Research contributions relating to transportation seating systems and educational toy design demonstrate practical relevance across industrial, educational, and technological contexts. The interdisciplinary nature of these investigations aligns with broader trends emphasizing emotional design, ergonomic evaluation, and user experience optimization in contemporary design science.[4]
Award Suitability
The scholarly profile of Lei Xue demonstrates characteristics aligned with the objectives of the Global Innovation Technologist Awards. The research portfolio combines innovation-oriented methodologies, interdisciplinary collaboration, computational analysis, and practical design applications.[7]
Particular relevance is observed in the integration of emotional engineering principles, fuzzy logic systems, and user-centered industrial design approaches. The researcher’s publications contribute to both academic knowledge development and practical innovation frameworks applicable to industrial product systems, educational technologies, and human-centered design environments.[3]
Conclusion
Lei Xue’s academic contributions reflect sustained engagement with industrial design optimization, interdisciplinary educational innovation, and computational design methodologies. Through publications involving Kansei engineering, fuzzy logic systems, and multisensory educational product design, the researcher has contributed to contemporary discussions in design science and applied humanities research.[2] The recognition associated with the Innovative Research Award acknowledges the relevance of these scholarly activities within broader innovation and technology-oriented academic communities.
External Links
References
- Elsevier. (n.d.). Scopus author details: Lei Xue, Author ID 57205546739. Scopus.
www.scopus.com/authid/detail.uri?authorId=57205546739
- Xue, L., Yi, X., & Zhang, Y. (2020). Research on optimized product image design integrated decision system based on Kansei engineering. Applied Sciences, 10(4), 1198.
https://doi.org/10.3390/app10041198
- Xue, L., Yi, X., Lin, Y.C., & Drukker, J.W. (2019). An approach of the product form design based on gra-fuzzy logic model: A case study of train seats. International Journal of Innovative Computing, Information and Control.
- Xue, L., Yi, X., Lin, Y.C., & Drukker, J.W. (2018). A method of the product form design and color design of train seats based on GRA-Fuzzy theory. Journal of Engineering Technology, 6(2), 517–536.
- Qian, X., Li, Y., Xue, L., & Shidujaman, M. (2023). Children’s Toy Design Based on Multiple Intelligence Theory – Research Case of Spatial Intelligence Children’s Toy Design. International Conference on Human-Computer Interaction.
- Li, Y., & Xue, L. (2023). Children’s toy design process based on the kano-AHP-FBS model: Case of multisensory educational toys. International Conference on Culture-Oriented Science and Technology.
- Global Innovation Technologist Awards. (n.d.). Official award platform and innovation recognition program.
innovationtechnologist.com