Assoc. Prof. Dr. Zhengsong Wang | Intelligent modeling | Best Researcher Award
Assoc. Prof. Dr. Zhengsong Wang, Northeastern University, China
Zhengsong Wang is an Associate Professor at the School of Information Science and Engineering, Northeastern University, China. He has an extensive academic background in control theory, control engineering, and automation. His research focuses on intelligent modeling, control, and optimization for applications in intelligent transportation systems and pharmaceutical cyber-physical systems. He has authored over 20 refereed journal articles and holds two Chinese invention patents. Zhengsong is a dedicated educator, serving as an advisor in national competitions like the “Siemens Cup” and the Chinese College Students Intelligent Car Competition, earning accolades for his mentorship. As a member of esteemed organizations such as IEEE and the Chinese Society of Automation, he actively contributes to advancing the field of control engineering and automation.
Publication Profile
🎓 Education
Dr. Zhengsong Wang holds a PhD in Control Theory and Control Engineering (2020) and an MA in Control Engineering (2015) from Northeastern University, China. His undergraduate education in Automation (2012) was completed at Shandong University of Technology. During his academic journey, Zhengsong excelled in bridging theoretical control systems with practical applications, fostering innovation in intelligent transportation and pharmaceutical systems. His educational background laid the foundation for his contributions to modeling and optimization methods for complex industrial processes. With a passion for advancing intelligent systems, Zhengsong’s multidisciplinary approach combines rigorous theoretical principles with modern engineering practices. His academic achievements have positioned him as a leader in integrating control theory with real-world applications.
💼 Experience
Zhengsong Wang has served as an Associate Professor and Lecturer at Northeastern University, China, since 2020. His responsibilities include teaching, mentoring students, and conducting cutting-edge research. With a focus on intelligent systems and optimization, he has collaborated on projects to enhance pharmaceutical cyber-physical systems and intelligent transportation systems. As a research leader, he has secured several competitive grants, driving advancements in drug quality control using innovative modeling techniques. Zhengsong’s advisory roles in national competitions, such as the “Siemens Cup” and the Chinese College Students Intelligent Car Competition, have showcased his ability to inspire and guide students towards excellence. His career reflects a commitment to advancing the field of control engineering through both academic and practical avenues.
🔎 Research Focus
Publication Top Notes
“An Enhanced Vehicle Self-positioning Method During GNSS Outages Using Factor Graph Optimization and CNN-LSTM-Attention”
Authors: Zhengsong Wang, Hao Liu, Ge Guo, Meng Han
Citations: Not available yet
Year: 2025
“An Online Monitoring‐Based Adaptive Quality Control Framework for a Continuous Pharmaceutical Cyber‐Physical System”
Authors: Zhengsong Wang, Xiaochen Li, Xue Wang, Yanqiu Yang, Ge Guo, Meng Han
Citations: Not available yet
Year: 2025
“Adaptive Quality Control With Uncertainty for a Pharmaceutical Cyber-Physical System Based on Data and Knowledge Integration”
Authors: Zhengsong Wang, Shengnan Tang, Ge Guo, Yanqiu Yang, Dakuo He, Le Yang, Meng Han, Yue Hou
Citations: Not available yet
Year: 2024
“Event-Triggered Positive Filter Design for Positive Polynomial Fuzzy Systems via Premise Integration and Membership-Function-Dependent Methods”
Authors: Meng Han, Ge Guo, Hak-Keung Lam, Bo Han, Zhengsong Wang
Citations: Not available yet
Year: 2023
“Data-Knowledge-Driven Modeling and Operational Adjustment for the Pharmaceutical Tablet Manufacturing Process via Wet Granulation”
Authors: Zhengsong Wang, Shengnan Tang, Yanqiu Yang, Yeqiu Chen, Le Yang
Citations: Not available yet
Year: 2023
“Timeliness and Stability-Based Operation Optimization for Copper Flotation Industrial Process”
Authors: Zhiqiang Wang, Dakuo He, Zhengsong Wang, Qiang Li
Citations: Not available yet
Year: 2022
“Data-Driven Adaptive Quality Control Under Uncertain Conditions for a Cyber-Pharmaceutical-Development System”
Authors: Zhengsong Wang, Dakuo He, Yue Hou
Citations: Not available yet
Year: 2021
“A Data-Driven Iterative Optimization Compensation Method Based on PJIT-PLS for Gold Cyanidation Leaching Process”
Authors: Qing Liu, Dakuo He, Zhengsong Wang, Jiahui Shi
Citations: Not available yet
Year: 2019
“Process Feature Change Recognition Based on Model Performance Monitoring and Adaptive Model Correction for the Gold Cyanidation Leaching Process”
Authors: Dakuo He, Zhengsong Wang, Qing Liu, Jiahui Shi, Le Yang, Qingkai Wang, Jianjun Zhao
Citations: Not available yet
Year: 2019
“Study on Missing Data Imputation and Modeling for the Leaching Process”
Authors: Dakuo He, Zhengsong Wang, Le Yang, Wanwan Dai
Citations: Not available yet
Year: 2017