Shandong University | China
Author Profile
Early Academic Pursuits 🎓
He embarked on his academic journey with a Bachelor of Science degree from the School of Information and Electrical Engineering at Shandong Jianzhu University, Jinan, China, in 2022. His early education laid a strong foundation in the field of engineering and information sciences. Eager to delve deeper into the world of control science and engineering, Hui Zhang pursued a Ph.D. at the School of Control Science and Engineering, Shandong University, where he continues to make significant strides in his research endeavors.
Professional Endeavors 💼
His professional endeavors are marked by a robust engagement in research that bridges theoretical insights with practical applications. His work primarily focuses on fuzzy logic theory, machine learning, computational intelligence, and hydrogen energy systems. Despite being early in his career, Hui Zhang has published three academic papers and has applied for six invention patents, showcasing his dedication to advancing technology and innovation. Additionally, he has three more papers currently under review, indicating a continuous contribution to the academic community.
Contributions and Research Focus on Artificial intelligence📚
His research contributions are both innovative and impactful. His areas of interest include artificial intelligence and intelligent computing, with a specific focus on fuzzy logic and its applications. One of his notable contributions is the development of a novel hybrid deep fuzzy model (HDFM). This model introduces a new parameter optimization strategy that combines gradient descent with Regularization, DropRule, and AdaBound algorithms, significantly enhancing model convergence. The hybrid deep fuzzy architecture proposed by Hui Zhang has demonstrated superior forecasting performance compared to existing models like DIRM-DFM, IT2DIRM-DFM, DCFS, and ANFIS. This model not only offers better interpretability but also provides a more flexible construction property, proving its practical viability in various applications.
Accolades and Recognition 🏆
His work has been recognized in various esteemed platforms. His publications have been accepted in notable conferences and journals, including:
- A Novel Hybrid Deep Fuzzy Model Based on Gradient Descent Algorithm with Application to Time Series Forecasting, Expert Systems with Applications, 2024.
- Interval Type-2 Fuzzy Logic System Based on Batch Normalization and Uniform Regularization with Application to Time Series Forecasting, 2023 China Automation Congress (CAC), Chongqing, China.
- Time Series Forecasting Based on Interval Type-2 Fuzzy Logic System with PSO, 2021 China Automation Congress (CAC), Beijing, China.
These publications not only highlight his expertise but also his contribution to advancing the field of intelligent computing and fuzzy logic systems.
Impact and Influence 🌍
His research has a broad impact, particularly in the realm of hydrogen energy systems, which are crucial for sustainable development. He has participated in three national key research and development program projects in China, focusing on the intelligent management and control of hydrogen energy systems and their integration into urban energy supply networks. These projects underscore his role in addressing critical energy challenges through innovative technological solutions. His contributions have a far-reaching influence, promoting the adoption of intelligent systems in real-world applications and paving the way for future advancements in energy management and control technologies.
Legacy and Future Contributions 🔮