Vice Dean at Nanjing University of Finance and Economics, China
Fumin Ma is a distinguished professor at the College of Information Engineering, Nanjing University of Finance and Economics. She has made significant contributions to the fields of big data processing, intelligent information processing, and system engineering. With an extensive academic and research career, she has mentored numerous graduate students and played a pivotal role in advancing innovative computational methods. Her research focuses on clustering analysis, knowledge acquisition, cross-modal retrieval, and networked manufacturing. She has received multiple awards and recognitions for her work in academia and research, solidifying her reputation as a leading expert in her domain.
Profile
Scopus
Education
Fumin Ma has a strong academic foundation in system engineering and computer science. She earned her Ph.D. in System Engineering, specializing in Intelligent Information Processing and Intelligent Manufacturing Systems, from Tongji University in 2008. Prior to that, she obtained a Master’s degree in Computer Measurement and Control from the Graduate University of the Chinese Academy of Sciences in 2005 and a Bachelor’s degree in Automation from Henan University in 2002. Her education laid the groundwork for her extensive research in big data and artificial intelligence-driven information processing.
Experience
Dr. Fumin Ma has held several prestigious academic positions throughout her career. She has been a Professor at the College of Information Engineering, Nanjing University of Finance and Economics, since 2018 and currently serves as the Dean of the Computer Science and Technology Department. From 2011 to 2018, she worked as an Associate Professor at the same institution, mentoring graduate students and leading various research projects. Additionally, she was a visiting scholar at University College Dublin, Ireland, from 2014 to 2015. Her experience extends beyond academia as she actively contributes to national and provincial research projects in China.
Research Interests
Dr. Ma’s research is centered around big data processing, intelligent information systems, and system engineering. Her expertise includes clustering analysis, knowledge acquisition, granular computing, and neural networks. She also explores the integration of fuzzy systems, rough sets, and networked manufacturing for optimizing industrial processes. Her research has led to significant advancements in process system modeling, cross-modal retrieval techniques, and energy efficiency assessment methodologies, making her a key figure in the field of intelligent information processing.
Awards and Honors
Dr. Ma has been recognized with numerous awards and honors for her contributions to academia and research. She has been instrumental in the development of a National First-Class Undergraduate Course and was selected as a Middle-aged and Young Academic Leader in the Qinglan Project of Jiangsu Province. She has also received the Second Prize for Postgraduate Education Reform Achievements in Jiangsu Province and the First Prize for Teaching and Research Achievements from the China Education Development Society. Her work continues to influence and shape educational and research frameworks in computer science and engineering.
Publications
Dr. Ma has published extensively in top-tier journals and conferences. Some of her key publications include:
Ma, F., et al. (2024). Key Grids Based Batch-incremental CLIQUE Clustering Algorithm Considering Cluster Structure Changes. Information Sciences, 660, 120109.
Yang, F., Han, M., Ma, F.*, et al. (2024). Disperse Asymmetric Subspace Relation Hashing for Cross-Modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology, 34(1), 603-617.
Zhang, T., Zhang, Y., Ma, F.*, et al. (2024). Local Boundary Fuzzified Rough K-means Based Information Granulation Algorithm Under the Principle of Justifiable Granularity. IEEE Transactions on Cybernetics, 54(1), 519-532.
Zhang, T., Ma, F.*, et al. (2020). Interval Type-2 Fuzzy Local Enhancement Based Rough K-means Clustering Considering Imbalanced Clusters. IEEE Transactions on Fuzzy Systems, 28(9), 1925-1939.
Ma, F.*, et al. (2019). Compressed Binary Discernibility Matrix Based Incremental Attribute Reduction Algorithm for Group Dynamic Data. Neurocomputing, 344, 20-27.
Zhang, T., Lv, C., Ma, F.*, et al. (2020). A Photovoltaic Power Forecasting Model Based on Dendritic Neuron Networks with the Aid of Wavelet Transform. Neurocomputing, 397(15), 438-446.
Ma, F.*, et al. (2024). Grid Density Peak Clustering Algorithm Based on Zipf Distribution. Control and Decision Making, 39(2), 577-587.
Conclusion
Dr. Fumin Ma’s contributions to academia and research in the field of intelligent information processing and big data analytics have been substantial. Through her extensive research, teaching, and leadership roles, she continues to shape the future of data science and system engineering. Her numerous awards, research projects, and influential publications underscore her impact on both theoretical advancements and practical applications in computational intelligence. As a dedicated scholar and educator, she remains committed to driving innovation and fostering the next generation of researchers in her field.