Dr. Xinxin Zhang | Data Mining | Best Researcher Award
School of Architecture and Art Design | Hebei University of Technology | China
Dr. Zhang Xinxin is a lecturer at the School of Architecture and Art Design at Hebei University of Technology, China. She holds a Ph.D. from East China University of Science and Technology (2020) and is a leading academic in the fields of Kansei engineering and industrial design theory. With a passion for innovative methodologies, she has significantly contributed to the academic discourse in her field, consistently producing high-quality research and publications.
Profile
Education
Dr. Zhang earned her doctorate in 2020 from East China University of Science and Technology, one of China’s top research universities. During her academic journey, she developed expertise in integrating technical knowledge with design methodologies, shaping her into a thought leader in industrial design and Kansei engineering. Her education laid a solid foundation for her current academic and research achievements.
Experience
Currently, Dr. Zhang serves as a lecturer at Hebei University of Technology, where she combines teaching, research, and mentoring. With a background enriched by her doctoral studies, she has been instrumental in educating future designers and engineers. Her teaching focuses on industrial design principles and methods, blending practical and theoretical approaches. Her professional contributions extend to active participation in academic conferences and collaboration with interdisciplinary teams.
Research Interests
Dr. Zhang specializes in Kansei engineering and industrial design theory and methods. Kansei engineering, a discipline that explores the emotional and psychological impact of products on users, forms the cornerstone of her research. Her innovative approaches aim to bridge the gap between user needs and design functionality, advancing both academic and practical applications in these areas.
Awards
Dr. Zhang has been recognized for her exceptional contributions to industrial design research. Notable awards include acknowledgments from prestigious design and engineering organizations in China, celebrating her work in advancing the field. Her nomination for national and international academic awards underscores her status as an emerging leader in her discipline.
Publications
Dr. Zhang has published extensively in her research areas, with key contributions including:
Recognizing materials in cultural relic images using computer vision and attention mechanism
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- Authors: Huining Pei, Chuyi Zhang, Xinxin Zhang, Xinyu Liu, Yujie Ma
- Publication Year: 2024
Designing the color of electric motorcycle products emotionally based on the dynamic field theory and deep learning
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- Authors: Man Ding, Haocheng Qin, Xinxin Zhang, Liwen Ma
- Publication Year: 2024
Research on chaos of product color image system driven by brand image
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- Authors: Xinxin Zhang, Yueying Li, Huining Pei, Man Ding
- Publication Year: 2023
Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model
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- Authors: Qinwei Zhang, Zhifeng Liu, Xinxin Zhang, Chunyang Mu, Shuo Lv, Miaochao Chen
- Publication Year: 2022
On the Prediction of Product Aesthetic Evaluation Based on Hesitant‐Fuzzy Cognition and Neural Network
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- Authors: Xinying Wu, Minggang Yang, Zishun Su, Xinxin Zhang, Ning (Chris) Chen
- Publication Year: 2022
Research on Product Primitives Recognition in a Computer-Aided Brand Product Development System
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- Authors: Wenjin Wang, Jianning Su, Xinxin Zhang, Kai Qiu, Shutao Zhang
- Publication Year: 2021
Conclusion
Dr. Zhang Xinxin’s dedication to research, teaching, and innovation in Kansei engineering and industrial design has established her as a promising academic and researcher. Her work, recognized by numerous publications and citations, reflects a commitment to advancing user-centric design principles. With a strong academic background and significant contributions to her field, Dr. Zhang continues to inspire the next generation of designers and researchers.