Mr. zongyang hu, Shanghai Jiao Tong University, China
Mr. Zongyang Hu, a PhD candidate in Control Science and Engineering at Shanghai Jiao Tong University’s UMJI, has demonstrated exceptional research capabilities and innovation in process control and optimization.
Education:
2015-2019: Undergraduate in Huazhong University of Science and Technology,
major in Control Science and Engineering;
2019-present: Graduate in UMJI, PhD candidate (advisor: Prof. Mian Li), major in
Control Science and Engineering.
Professional Profiles:
Scopus Profile
Professional Experience:
Zongyang’s professional experience reflects a strong foundation in control systems, industrial automation, and algorithm design, making significant contributions to energy and manufacturing sectors.
Research Interests:
His research interests lie in process control, industrial optimization, and the development of innovative control strategies for enhancing industrial efficiency and sustainability.
Research Experience:
Process Control
Optimization of Supercritical Boiler Combustion in Wucaiwan (2019-2020)
Collaboration with the National Energy Corporation, responsible for algorithm implementation.
Control and Optimization of Tianjin Binhai Garbage Burning and Disposal (2021-2022)
Responsible for algorithm development and implementation.
Visualization of Furnace Temperature Field and Research and Application of Combustion Optimization (2023-2024)
Collaboration with the National Energy Corporation, solely responsible for combustion optimization algorithm development.
Research and Application of Steel Furnace Strip Transition Strategy Control (2024-Present)
Collaboration with Baoshan Iron and Steel Company, responsible for algorithm development.
VR/AR Research
Research and Application Demonstration of Key Technologies of Virtual Experimental Education Platform Based on 5G Network and 8K Ultra-HD Video (2021-2023)
Shanghai Municipal Science and Technology Commission project, responsible for system software and hardware construction and algorithm implementation.
Key Technology Research and Application Demonstration of Digital Workshop Virtual Monitoring and Fault Warning System Based on 5G Internet of Things (2023-2024)
Zhoushan Science and Technology Bureau project, responsible for system software and hardware construction and algorithm implementation.
Smart Energy Storage
Quantitative Evaluation Model for Electrochemical Energy Storage (2024-Present)
Huawei collaboration project, responsible for the development of fault propagation network algorithms for energy storage systems.
Publications:
Efficient model predictive control of boiler coal combustion based on NARX neutral network. Journal of Process Control, 2024, 134: 103158. (SCI, IF: 4.2)
Optimization of power plant denitrification control using online adaptive gain planning method. Electric Power Technology and Environmental Protection, 2023, 39(1): 35-42.
Collaborative optimization for deep peak-shaving and ultra-clean emission of coal-fired boiler using flue gas recycling technology. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2020. DOI: 10.1080/15567036.2020.1760970. (SCI, IF: 2.902)
Digital Twin in smart manufacturing: remote control and virtual machining using VR and AR technologies. Structural and Multidisciplinary Optimization, 2022, 65(11): 321. DOI: https://doi.org/10.1007/s00158-022-03426-3. (SCI, IF: 4.279)
A Human-Inspired Slow-Fast Dual-Branch Method for Product Quality Prediction of Complex Manufacturing Processes with Hierarchical Variations. Advanced Engineering Informatics, Volume 64, 2025. (SCI, TOP)
Conclusion: