Zhiyong Pei | Artificial Intelligence | Best Researcher Award

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Prof. Zhiyong Pei | Artificial Intelligence | Best Researcher Award

Director | Wuhan university of technology | China

Prof. Zhiyong Pei serves as the Director and Professor at the Green & Smart River-Sea-Going Ship, Cruise and Yacht Research Centre at Wuhan University of Technology. His career is defined by contributions to the advancement of green and smart ship technologies. Under his leadership, projects like the 18,000 DWT inland bulk carrier and 6,600 DWT coastal bulk carrier have achieved CCS Green Ship III certification, exemplifying eco-friendly and efficient ship design. Prof. Pei’s work embodies the “4E” philosophy—Energy conservation, Environmental friendliness, Economy, and Efficiency—pioneering innovations that redefine modern shipbuilding and contribute to sustainable maritime advancements.

Profile

Scopus

Education

Prof. Zhiyong Pei earned his doctorate from Hiroshima University in 2005, specializing in maritime engineering and environmental technologies. His academic foundation was further reinforced by hands-on research at Tsuneishi Shipbuilding Co., Ltd., where he served as a Research Fellow from 2005 to 2012. Since 2013, he has been a Professor at Wuhan University of Technology, where he continues to contribute to cutting-edge research and innovation in the field of green and intelligent maritime systems.

Experience

Prof. Pei brings over two decades of experience in ship design and maritime technology development. His tenure at Tsuneishi Shipbuilding Co., Ltd. honed his expertise in practical shipbuilding innovations, while his role at Wuhan University of Technology allows him to bridge theoretical research with real-world applications. He has led numerous state-funded projects focused on energy-efficient, eco-friendly ships, and has been instrumental in promoting green technologies in the shipping industry.

Research Interests

Prof. Pei’s research interests revolve around energy-efficient and environmentally friendly maritime technologies. He is passionate about the development of new ship types, innovative propulsion systems, and AI-driven optimization techniques. His work on neural network algorithms and genetic algorithms for ship resistance reduction has significantly contributed to the industry’s efforts in minimizing fuel consumption and emissions. Additionally, he explores the integration of hydrogen-powered systems into maritime applications.

Awards

Prof. Zhiyong Pei has been recognized for his contributions to maritime research and innovation. He is a nominee for the Distinguished Scientist Award, reflecting his impact in green and smart ship design. His work has earned accolades for pushing the boundaries of sustainable technologies in shipbuilding and fostering international collaborations that drive the industry forward.

Publications

“Development of Eco-Friendly River-Sea-Going Vessels”, Journal of Maritime Engineering (2020) – Cited by 25 articles.

“Neural Network Applications in Ship Resistance Reduction”, Marine Technology Journal (2021) – Cited by 30 articles.

“Hydrogen-Powered Ships: A Pathway to Zero Emissions”, Journal of Green Shipping (2019) – Cited by 18 articles.

“Innovations in 4E Ship Design”, Environmental Marine Systems (2022) – Cited by 15 articles.

“Energy Optimization in Bulk Carriers”, Sustainable Maritime Review (2018) – Cited by 20 articles.

“Advanced Materials for Lightweight Ships”, Shipbuilding Innovations (2023) – Cited by 10 articles.

“AI-Driven Optimization in Shipbuilding”, Journal of Smart Systems (2021) – Cited by 22 articles.

Conclusion

Prof. Zhiyong Pei exemplifies a blend of academic rigor and practical expertise, making him a leading figure in green and smart ship technologies. His contributions have significantly advanced the maritime industry, emphasizing sustainability, innovation, and efficiency. Through his dedication to research and collaboration, Prof. Pei has paved the way for a more sustainable and intelligent future in shipbuilding. His work continues to inspire advancements in maritime technology and sets a benchmark for excellence in the field.

Xinxin Zhang | Data Mining | Best Researcher Award

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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

Orcid

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

    • 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

    • Authors: Man Ding, Haocheng Qin, Xinxin Zhang, Liwen Ma
    • Publication Year: 2024

Research on chaos of product color image system driven by brand image

    • 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

    • 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

    • 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

    • 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.