Jing Liang (computer scientist)
Jing Liang (Chinese: 梁静) is a Chinese computer scientist whose research focuses on evolutionary computation, with applications including the modeling of photovoltaic generation of solar power.
Education and career
Liang has a 2003 bachelor's degree from the Harbin Institute of Technology, and a 2009 Ph.D. from Nanyang Technological University in Singapore.[1] Her dissertation, Novel Particle Swarm Optimizers with Hybrid, Dynamic & Adaptive Neighborhood Structures, was supervised by P. N. Suganthan.[2]
She is a professor in both the School of Electrical and Information Engineering at Zhengzhou University, and the School of Electrical Engineering and Automation at the Henan Institute of Technology (HAIT) in Xinxiang.[3]
Recognition
Liang was elected as an IEEE Fellow, in the 2026 class of fellows, "for evolutionary computation for complex optimization and its real-world applications".[4]
References
- ↑ Speaker of FACI 2025, University of Nottingham Ningbo China, 2025, retrieved 2026-07-25
- ↑ Liang Jing (2008), Novel Particle Swarm Optimizers with Hybrid, Dynamic & Adaptive Neighborhood Structures (Ph.D. thesis), Nanyang Technological University, hdl:10356/41803
- ↑ Author affiliation as listed in Chen, Peng; Liang, Jing; Song, Hui; Qiao, Kang-Jia; Yue, Cai-Tong; Yu, Kun-Jie; Nagaratnam Suganthan, Ponnuthurai; Pedrycz, Witold (March 2026), "Multiobjective task allocation for electric harvesting robots: a hierarchical route reconstruction approach", IEEE Transactions on Cybernetics, 56 (3): 1583–1596, arXiv:2509.11025, doi:10.1109/tcyb.2025.3631147
- ↑ PES Members elected to the IEEE Fellows Class of 2026, IEEE Power & Energy Society, 10 December 2025, retrieved 2026-07-25
External links
- Home page at Zhengzhou University
- Jing Liang publications indexed by Google Scholar