Ms. Jia Zhai | fuzzy system โ Jiangsu University of Science and Technology | China
Profile Verified
โ
Suitability Summary
Ms. Zhai is a highly motivated and technically capable individual with strong expertise in fuzzy systems, machine learning, and data modeling. Her proficiency in MATLAB and Python positions her well for roles involving AI algorithm development, intelligent system design, and academic research. She is recognized for her teamwork, accountability, and ability to translate complex theories into practical solutions, making her an excellent fit for research-intensive and data-driven environments.
๐ Education & Experience
Ms. Jia Zhai is currently pursuing her Master’s degree at Jiangsu University of Science and Technology, China (2022.09 โ 2025.06). Her academic background combines strong theoretical foundations with hands-on research in mathematical modeling and artificial intelligence. From June 2024 to April 2025, she is involved in a key research project titled โA Hierarchical-Approximation-based Interpretable Multi-view TSK Fuzzy Classification for Diverse Aggregates of Fuzzy Rules.โ This project introduces a joint-view shared decision subspace, a two-view mutual approximation strategy, and a novel stacked-like architecture, all aimed at enhancing classification performance and model interpretability. She also hosted the Jiangsu Provincial Graduate Student Research and Practice Innovation Program, highlighting her initiative and leadership in research.
๐ Professional Development
Ms. Zhai has consistently pursued academic growth and practical impact throughout her graduate journey. She is proficient in MATLAB and Python, essential for computational modeling. Her research output includes two accepted papers, two under review, one granted patent, and one registered software copyright, reflecting her innovation and research productivity. In addition, her experience in managing provincial research programs demonstrates her organizational and leadership abilities.
๐ฌ Research Focus
Her research centers on interpretable machine learning, with a specific focus on multi-view TSK fuzzy systems. She investigates how shared decision information and cross-view approximation can be integrated to train more effective and interpretable fuzzy models. Her contributions lie at the intersection of fuzzy logic, multi-view learning, and AI interpretability, making her research both relevant and impactful in todayโs AI landscape.
๐ Honors & Awards
Ms. Zhai has received multiple prestigious honors for her academic achievements. In 2023, she was awarded the Second Prize in the Jiangsu Province Mathematical Modeling Contest. In 2024, she received the Third Prize in the same contest and another Third Prize in the 21st “Huawei Cup” China Graduate Mathematical Modeling Competition. Beyond competitions, she has obtained one granted patent and completed one software copyright registration, showcasing her technical innovation and intellectual property contributions.
๐ Selected Publications
1. A Temporal Multi-View Fuzzy Classifier for Fusion Identification on Epileptic Brain Network
-
Authors: Xia Zhengxin, Xue Wei, Zhai Jia, Zhou Ta, Su Chong
-
Journal: IEEE Transactions on Fuzzy Systems
-
Year: 2025
2. A Hierarchical-approximation-based Interpretable Multi-view TSK Fuzzy Classification for Diverse Aggregates of Fuzzy Rules
-
Authors: Jia Zhai, Jinghao Chen, Guanghao Song, Yuanqing Yang, Wei Yan, Ta Zhou
-
Journal: International Journal of Control, Automation and Systems
-
Year: 2025