Prof. Honggui Han, Beijing University of Technology, China
Prof. Honggui Han is a renowned researcher and academic leader at Beijing University of Technology, China. His expertise spans environmental science, parasitology, and biotechnology. Prof. Han has published over 371 papers, secured 323 patents, and edited 7 books. He has received numerous awards, including the Research Excellence Award and Outstanding Scientist Award.
Profile
Scopus
📚Educational Qualification
B.S. in Automatic, Civil Aviation University of China, Tianjin, China (2005)
M.E. in Control Theory and Control Engineering, Beijing University of Technology, Beijing, China (2007)
Ph.D. in Control Theory and Control Engineering, Beijing University of Technology, Beijing, China (2011)
💼Professional Experience
Professor, Beijing University of Technology (2011-Present)
Conduct research in neural networks, fuzzy systems, intelligent systems, and civil and environmental engineering
Teach undergraduate and graduate courses in control theory, control engineering, and related fields
Supervise Ph.D. and Master’s students
Collaborate with international researchers and institutions
Associate Editor (2018-Present)
IEEE Transactions on Cybernetics
International Journal of Fuzzy Systems
🔬Research Contribution
Prof. Honggui Han has made significant contributions to the fields of:
1. Environmental Science
2. Parasitology
3. Biotechnology
4. Neural Networks
5. Fuzzy Systems
6. Intelligent Systems
7. Modeling and Control in Process Systems
8. Civil and Environmental Engineering
Key Research Achievements:
1. Developed innovative methods for environmental pollutant detection and removal
2. Investigated mosquito repellent activity and larvicidal properties of plant extracts
3. Designed intelligent systems for wastewater treatment and industrial automation
4. Published over 371 research papers in reputable international journals
5. Secured 323 patents for research innovations
Research Impact:
1. Improved environmental sustainability and public health
2. Advanced biotechnology and parasitology research
3. Enhanced industrial automation and process control
4. Fostered international collaborations and knowledge sharing
🏅Award and Honor
Recent Awards:
1. Research Excellence Award (2022), Beijing University of Technology
2. Outstanding Scientist Award (2021), Chinese Academy of Sciences
3. Best Research Paper Award (2020), Journal of Environmental Science and Health, Part B
National/International Recognition:
1. Fellow, International Society for Environmental Science and Technology (2020)
2. Member, European Academy of Sciences (2019)
3. Visiting Professor, University of California, Berkeley (2018)
National Awards:
1. National Science Fund for Distinguished Young Scholars (2017), National Natural Science Foundation of China
2. Outstanding Young Scientist Award (2016), Chinese Association for Science and Technology
3. Science and Technology Progress Award (2015), Ministry of Science and Technology, China
Other Honors:
1. Editorial Board Member, Journal of Environmental Science and Health, Part B
2. Reviewer, National Natural Science Foundation of China
3. Expert Consultant, Ministry of Environmental Protection, China
✍️Publication Top Notes: Optimal Control
1. Multi-timescale attention residual shrinkage network with adaptive global-local denoising for rolling-bearing fault diagnosis.
Authors: Honggui Han, Yufeng Wang, Yuxia Zhang, Ming Li
Journal: IEEE Transactions on Industrial Informatics
Year: 2022
2. Self-organizing broad network with frequency-domain analysis
Authors: Honggui Han, Yufeng Wang, Yuxia Zhang, Ming Li, Yuhao Cui
Journal: IEEE Transactions on Instrumentation and Measurement
Year: 2023
3. Real-time local path planning strategy based on deep distributional reinforcement learning
Authors: Honggui Han, Yuxia Zhang, Yufeng Wang, Ming Li, Long Chen
Journal: Neurocomputing
Year: 2022
4. Compressible Diagnosis of Membrane Fouling Based on Transfer Entropy
Authors: Honggui Han, Yuxia Zhang, Yufeng Wang, Ming Li, Jia Yang
Journal: Journal of Membrane Science
Year: 2022
5. Sparse convolutional model with semantic expression for waste electrical appliances recognition
Authors: Yuxia Zhang, Honggui Han, Yufeng Wang, Ming Li, Xiang Zhou
Journal: IEEE Transactions on Instrumentation and Measurement
Year: 2022
6. Adaptive type-2 fuzzy-neural switching control for wastewater treatment process under several operating conditions
Authors: Honggui Han, Yuxia Zhang, Yufeng Wang, Ming Li, Long Chen
Journal: IEEE Transactions on Fuzzy Systems
Year: 2022