Professor & Ph.D. Supervisor

IEEE Senior Member

Recipient of the National High-Level Young Talent Program, Distinguished Young Scholar of Jiangsu Province Qinglan Project, and High-End Talent Program of China University of Mining and Technology (CUMT). Awardee of the Jiangsu Distinguished Young Scholars Fund and Jiangsu Excellent Young Scholars Fund. He has also earned prestigious honors including the First-Class Outstanding Teacher Award of CUMT, Second-Class Outstanding Young Teacher Teaching Award, Advanced Individual in Research-Oriented Education, May Fourth Youth Medal, and Outstanding Communist Party Member.

• Academic & Professional Affiliations

He currently serves as Council Member of the Jiangsu Association of Automation, and Committee Member of multiple professional committees under the Chinese Association of Automation—including Process Control, Big Data, Adaptive Dynamic Programming and Reinforcement Learning, Environmental Sensing and Protection Automation, and Intelligent Manufacturing Systems. He is also Committee Member of the Cluster Intelligence and Cooperative Control Committee of the Chinese Association for Command and Control.

In editorial roles, he acts as Editorial Board Member of Industrial Artificial Intelligence, and Young Editorial Board Member of Journal of China University of Mining and Technology, Journal of Engineering Science, Industry and Mine Automation, and Coal Science and Technology.

• Research Interests

His research focuses on AI-driven modeling and optimal operational control of complex process industries, as well as next-generation artificial intelligence methodologies and technologies such as federated learning and incremental learning.

• Research Outputs & Achievements

He has published over 60 peer-reviewed papers, and filed or been granted 20 invention patents, with 4 patents and software copyrights successfully commercialized through technology transfer.

His research outcomes have been recognized with a series of high-profile awards, including the Second-Class Natural Science Award of the Ministry of Education, First-Class and Second-Class Natural Science Awards of the Chinese Association of Automation, First-Class Liaoning Provincial Patent Award, Coal Youth Science and Technology Award, China Industry-University-Research Cooperative Innovation Award (Individual), Second-Class Shandong Coal Industry Science and Technology Award, Second-Class Jiangsu Coal Science and Technology Progress Award, Third-Class Jiangsu Provincial Science and Technology Award, and Annual Outstanding Paper Award of Control Theory & Applications.

• Talent Cultivation

He is dedicated to mentoring young researchers. Under his supervision, students have won more than 30 national and provincial awards in undergraduate innovation and entrepreneurship projects and competitions. He has also led 11 projects of the Jiangsu Graduate Innovation Training Program, and guided 4 students to receive the National Scholarship.

• Awards

1. World's Top 2% Scientists (2025)
   

2. Youth Science and Technology Awardof the Chinese Association of Automation (2025)

3. Silver Award of Geneva International Exhibition of Inventions (2025)

4. Second Prize for Scientific and Technological Progress of the Chinese Association of Automation (2025)
   

5. Second Prize of Teaching Achievements in Higher Education (Undergraduate and Postgraduate) of the Chinese Association of Automation (2025)

• Recent Research

1. Wei Dai*, Lingzhi Zhang, Jun Fu, Tianyou Chai, Xiaoping Ma. Dual-Rate Adaptive Optimal Tracking Control for Dense Medium Separation Process Using Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(9): 4202–4216.

2. Qianjin Wang, Wei Dai*, Chunfu Zhang, Jiaji Zhu, Xiaoping Ma. A Compact Constraint Incremental Method for Random Weight Networks and Its Application. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(11): 16936–16944. Highly Cited

3. Wei Dai*, Xinyu Zhou, Depeng Li, Song Zhu, Xuesong Wang. Hybrid Parallel Stochastic Configuration Networks for Industrial Data Analytics. IEEE Transactions on Industrial Informatics, 2022, 18(4): 233 –2341. Highly Cited

4. Wei Dai, Tongyun Li, Lingzhi Zhang, Yao Jia*, Huaicheng Yan. Multi-rate Layered Operational Optimal Control for Large-Scale Industrial Processes. IEEE Transactions on Industrial Informatics, 2022, 18(7): 4749–4761.

5. Wei Dai*, Teng Cui, Tong Zhang, Badong Chen. VFL+: Low-Coupling Vertical Federated Learning with Privileged Information Paradigm. IEEE Transactions on Emerging Topics in Computational Intelligence. 2025, 9(5): 3533–3547.

6. Wei Dai, Ruipeng Fan, Jing Nan*. Simultaneous Fault Diagnosis for Control Valve Using Feature Fusion and Multi-Label Classification Framework Considering Fault Similarity. IEEE Transactions on Instrumentation and Measurement. 2025, 74: 3519211.

7. Wei Dai, Rui Zhang, Qianjin Wang, Yuhu Cheng, Xuesong Wang*. Two Dimensional Broad Learning System for Data Analytic. IEEE Transactions on Artificial Intelligence, 2021, 2(6): 594–607.

8. Wei Dai, Tongyun Li, Lingzhi Zhang, Yao Jia*, Huaicheng Yan. Multi-rate Layered Operational Optimal Control for Large-Scale Industrial Processes. IEEE Transactions on Industrial Informatics, 2022, 18(7): 4749–4761. 

9. Wei Dai*, Xinyu Zhou, Depeng Li, Song Zhu, Xuesong Wang. Hybrid Parallel Stochastic Configuration Networks for Industrial Data Analytics. IEEE Transactions on Industrial Informatics, 2022, 18(4): 2331–2341. 

10. Wei Dai*, Tianyou Chai, Simon X. Yang. Data-Driven Optimization Control for Safety Operation of Hematite Grinding Process. IEEE Transaction on Industrial Electronics, 2015, 62(5): 2930–2941.