Prof. Moshu Qian | Artificial Intelligence in Petroleum Engineering | Best Academic Researcher Award
Full Professor at Nanjing Tech University | China
Prof. Moshu Qian, Member of IEEE, is a distinguished Full Professor at Nanjing Tech University, China, recognized for her extensive contributions to automation, intelligent systems, and control engineering. She earned her Ph.D. from Nanjing University of Aeronautics and Astronautics in 2016 and subsequently served as a visiting scholar at the University of Kent, United Kingdom, from 2019 to 2020, where she deepened her expertise in distributed control and adaptive systems. Throughout her academic career, Professor Qian has authored over 75 documents, including more than 50 peer-reviewed journal publications indexed in SCI and Scopus, and has contributed to a significant body of work that has garnered 710 citations by 624 documents, reflecting her strong research influence and visibility within the global academic community. Her current h-index is 12, attesting to the lasting impact and citation quality of her scholarly output. She has also published one academic book (ISBN: 978-7-118-11911-6) and holds 31 invention patents, many of which are applied within the industrial automation and petrochemical sectors. Professor Qian has successfully led fifteen completed and ongoing research projects and participated in four consultancy or industry-based collaborations, including the design of intelligent analysis software for lean product quality control supported by Yangzi Petrochemical in Nanjing, China. Her notable scientific achievements have earned her the First Prize of the Science and Technology Progress Award from the Chinese Society of Automation in 2023 and the Second Prize of the Science and Technology Progress Award from the Chinese Society of Instrumentation in 2024. Her research interests encompass distributed adaptive control, UAV formation systems, actuator fault-tolerant mechanisms, and smart industrial automation. Professor Qian’s scholarly dedication, innovative research, and leadership in cross-disciplinary collaborations continue to advance automation science and engineering applications, contributing to the development of intelligent, data-driven, and sustainable industrial systems that shape the future of automation and petroleum-related technologies.
Profile: Scopus | ORCID
Featured Publications
Gao, Z., Han, B., Qian, M., & Zhao, J. (2018). Active fault tolerant control for flexible spacecraft with sensor faults using adaptive integral sliding mode.
Li, J., Gao, Z., & Qian, M. (2019). Active fault tolerant control design for satellite attitude systems with mixed actuator faults.
Zhang, X., Gao, Z., Qian, M., & Bai, L. (2019). Adaptive fault-tolerant control for rigid spacecraft attitude system using fractional order sliding mode.
Bai, L., Gao, Z., Qian, M., & Zhang, X. (2019). Sliding mode observer-based FTC strategy design for satellite attitude systems with sensor fault.
Zhang, X., Gao, Z., Qian, M., & Zhou, Z. (2018). Active fault tolerant attitude control for rigid spacecraft with actuator LOE fault and saturation constraint.