Qu Boyang is a professor and Vice President of Zhongyuan University of Technology. He received his Ph.D. from Nanyang Technological University, Singapore, in 2012. He leads the Henan International Joint Laboratory for Computational Intelligence Research and Applications, the Henan Collaborative Innovation Center for Intelligent Information Technology, the Henan Engineering Research Center for Intelligent Optimization and Scheduling, and a provincial science and technology innovation team for universities in Henan. He has received national recognition as an outstanding young scholar and funding from the Henan Outstanding Youth Fund. He has also been selected for the Zhongyuan Talent Program, the Henan Young Talent Support Program, and the Innovation Talent Support Program for Universities in Henan, and recognized as a key young faculty member in the province. His honors include the Henan May Fourth Youth Medal, the Wu Wenjun Artificial Intelligence Outstanding Young Scientist Award, and the Henan Youth Science and Technology Award. He has been named a Henan Chief Science Popularization Expert, a Henan Academic and Technical Leader, and an Academic and Technical Leader of the Henan Provincial Department of Education. He has also been recognized as a Young Scientist by the Technical Committee on Intelligent Optimization and Scheduling of the China Simulation Federation. His research focuses on the theory, methods, and applications of intelligent evolutionary optimization. He has published more than 220 research papers in leading domestic and international journals and conference proceedings, including seven ESI Highly Cited Papers. According to Google Scholar, his publications have received more than 12,200 citations, with an h-index of 44 and 2,163 citations for his most cited paper. He has been granted 13 invention patents and has published two academic monographs. He has been included in the World's Top 2% Scientists list. His awards include one Second Prize in Natural Sciences from the Ministry of Education, one Second Prize in Science and Technology Progress from Henan Province as the leading contributor, and two Third Prizes in Science and Technology Progress from Henan Province. He has also received four First Prizes for Academic Papers in Natural Sciences from Henan Province and four First Prizes for Scientific and Technological Achievements from the Henan Provincial Department of Education. He regularly serves as a reviewer for international journals, including IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Swarm and Evolutionary Computation, and Knowledge-Based Systems, as well as for international conferences.
Education and Research Experience：
1. 2008-2012: Nanyang Technological University, Singapore; full scholarship; Ph.D. degree
2. 2003-2007: Nanyang Technological University, Singapore; full scholarship from the Singapore Ministry of Education; bachelor's degree
Research Directions：
1. Intelligent optimization algorithms
2. Multi-objective optimization algorithms
3. Niching optimization algorithms and their applications
Academic Research Projects：
1. Henan Provincial Key R&D Program: Research and application of key technologies for collaborative optimization and control of multiple unmanned autonomous systems, first principal investigator
2. Henan Natural Science Foundation Outstanding Youth Fund Project: Research and application of a novel constraint multimodal optimization method based on strategy adaptation, first principal investigator
3. Henan University Science and Technology Innovation Team Support Program: Swarm intelligence optimization theory and applications, team leader
4. NSFC General Program: Research and application of constrained multimodal multi-objective co-evolutionary methods based on subspace classification perception, first principal investigator
5. NSFC General Program: Research and application of dynamic multimodal optimization methods integrating self-organizing maps and multi-directional prediction, first principal investigator
6. National Natural Science Foundation of China: Research and application of multi-objective evolutionary computation based on decision space, first principal investigator
7. NSFC Young Scientists Fund: Research on multimodal, multi-objective and dynamic evolutionary algorithms based on novel niching strategies, first principal investigator
8. NSFC General Program: Research on non-convex sparse optimization algorithms based on swarm intelligence, second principal investigator
9. NSFC Young Scientists Fund: Novel dynamic adaptive particle swarm optimization algorithm, second principal investigator
10. NSFC General Program: Multi-objective deep learning models and methods for spatiotemporal image change detection, second principal investigator
11. NSFC General Program: Research on fabric defect detection algorithms based on visual saliency models integrating hierarchy and integrity, fourth participant
12. Henan University Innovation Talent Support Program: Intelligent computing and applications, first principal investigator
13. Henan Science and Technology Research Project: Application of cultural gene algorithms in intelligent transportation systems, first principal investigator
14. China Postdoctoral Science Foundation General Program, first principal investigator
15. Henan University Science and Technology Innovation Team Support Program, third participant
Awards：
1. Second Prize of the Ministry of Education Natural Science Award
2. Eighth Wu Wenjun Artificial Intelligence Science and Technology Outstanding Young Scientist Award
3. Second Prize of the Henan Science and Technology Progress Award
4. Henan Science and Technology Progress Awards, 2 items
5. Henan Provincial Department of Education Scientific and Technological Achievement Awards, 3 items
6. First Prize of the Henan Outstanding Scientific and Technological Paper Award
7. Fourth Henan Outstanding Academic Paper Award in Natural Sciences
8. Third Henan Outstanding Academic Paper Award in Natural Sciences
9. Second Henan Outstanding Academic Paper Award in Natural Sciences
Representative Papers：
1. B. Y. Qu, P. N. Suganthan and S. Das, A Distance-based Locally Informed Particle Swarm Model for Multimodal Optimization, IEEE Transaction on Evolutionary Computations, 17(3): 387-402, 2013.
2. B. Y. Qu, P. N. Suganthan and J. J. Liang, Differential Evolution with Neighborhood Mutation for Multimodal Optimization, IEEE Transactions on Evolutionary Computation, 16(5): 601-614, 2012.
3. B. Y. Qu, J. J. Liang and P. N. Suganthan, Niching Particle Swarm Optimization with Local Search for Multi-modal Optimization, Information Sciences, 197: 131-143, 2012.
4. B. Y. Qu, J. J. Liang, Y. S. Zhu, Z. Y. Wang, P. N. Suganthan, Economic Emission Dispatch Problems with Stochastic wind Power using Summation based Multi-objective Evolutionary Algorithm, Information Sciences, pp. 48-66, Jul 10, 2016.
5. B. Y. Qu, Y. S. Zhu, Y. C. Jiao, M. Y. Wu, J. J. Liang, P. N. Suganthan, A Survey on Multi-objective Evolutionary Algorithms for the Solution of the Environmental/Economic Dispatch Problems, Swarm and Evolutionary Computation, vol. 38, pp. 1-11, Feb 2018.
6. L. Yan, W. L. Qi, J. J. Liang, B. Y. Qu, K. J. Yu, C. T. Yue, X. Z. Chai. Inter-individual correlation and Dimension Based Dual Learning for Dynamic Multi-objective Optimization. IEEE Transactions on Evolutionary Computation. 2023.
Representative Works and Achievements：
1. Wrist vein authentication system based on online extreme learning machine, invention patent, Patent No.: ZL 2015 1 0245415.X. Inventors: Qu Boyang; Yue Caitong; Liang Jing; Han Yuhong
2. A DC-DC parallel power supply system based on a three-bridge structure, invention patent, Patent No.: ZL 2017 1 0883275.8. Inventors: Qu Boyang; Peng Sheng; Wang Geng; Wu Fuzhuan; Jiao Yuechao; Pei Suping
3. Wrist vein authentication system, invention patent, authorized on 2014.7.14, Patent No.: ZL201410337530.5. Inventors: Qu Boyang; Liang Jing; Li Ji; Yue Caitong; Xiao Yan; Shang Zhigang
Contact：
Email: quboyang@zut.edu.cn
