Dr. Yujie Ma - Product design for upgradability and remanufacturing - Best Researcher Award
Department of industrial engineering, Tsinghua University - China
AUTHOR PROFILE
EARLY ACADEMIC PURSUITS
Yujie Ma embarked on his academic journey with a Bachelor's degree in Information and Computing Science from Qilu University of Technology. He pursued his Master's in Management Science and Engineering at Hebei University of Technology, followed by a Ph.D. in the same field at Tianjin University. Under the guidance of Prof. Gang Du, his research focused on management science and engineering, laying the foundation for his future endeavors.
PROFESSIONAL ENDEAVORS
Ma's professional journey has seen him transition from a Ph.D. candidate at Tianjin University to a Postdoctoral researcher at Tsinghua University. At Tsinghua, he works in the Department of Industrial Engineering under the guidance of Prof. Zhang Chen. His research interests span various methodologies, including Stackelberg game, optimization and decision-making, bilevel optimization, deep learning, and reinforcement learning, applied to domains such as process planning, production scheduling, sustainability, and remanufacturing processes.
CONTRIBUTIONS AND RESEARCH FOCUS ON PRODUCT DESIGN FOR UPGRADABILITY AND REMANUFACTURING
Ma's contributions to academia are evident through his publications and conference presentations. He has published in reputable journals such as the International Journal of Production Economics and Sustainability, focusing on topics like product design, crowdsourcing, and sustainable manufacturing. His research is characterized by innovative methodologies and practical applications, addressing key challenges in modern manufacturing and sustainability.
IMPACT AND INFLUENCE
Ma's research has garnered attention within the academic community, as reflected in his paper awards and conference presentations. His work not only contributes to advancing knowledge in his field but also holds potential implications for industry practices, particularly in areas such as intelligent manufacturing systems engineering and supply chain resilience.
ACADEMIC CITATIONS
Ma's publications have been cited in various academic forums, showcasing the impact of his research on the scholarly community. His contributions to conferences and journals further amplify his academic influence, paving the way for future collaborations and research endeavors.
LEGACY AND FUTURE CONTRIBUTIONS
As an emerging scholar in management science and engineering, Ma's legacy lies in his interdisciplinary approach to addressing complex challenges in manufacturing and sustainability. His future contributions are poised to further expand the boundaries of knowledge, leveraging cutting-edge methodologies such as deep reinforcement learning and bilevel optimization to tackle pressing issues in industry and academia.
NOTABLE PUBLICATIONS
Dynamic hierarchical collaborative optimisation for process planning and scheduling 2022(5)
Optimal crowdsourcing contracting for reconfigurable process planning in open manufacturing 2020(15)
Analysis of free aniline in chrome-free leather accelerated aging 2020(2)