• MEng: 1) Electronic Information

• MS：1)Intelligent Science and Technology

• Ph.D: 1) Intelligent Science and Technology;

Jia Yahui, male, born in 1992, holds a doctorate and is an associate professor and doctoral supervisor at the Future Technology College of South China University of Technology, specializing in artificial intelligence. Mainly engaged in research on artificial intelligence and computational intelligence, including evolutionary computing optimization methods and evolutionary computing learning methods. The main application scenarios include traditional combinatorial optimization problems, intelligent transportation, intelligent logistics, etc. Served as a reviewer for top international journals such as IEEE Trans.on Evolutionary Computation and IEEE Trans.On Cybernetics, and was invited many times to serve as a program committee member for important international conferences in the field such as IEEE WCCI. Personal homepage: https://flyki.github.io/

• Research in artificial intelligence and computational intelligence

• Ya-Hui Jia, Yi Mei, Mengjie Zhang, “A Two Stage Swarm Optimizer for Water Distribution Network Optimization,” IEEE Transactions on Cybernetics.

• Ya-Hui Jia, Yi Mei, Mengjie Zhang, “A Bi-level Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem”, IEEE Transactions on Cybernetics, 2021.

• Ya-Hui Jia, Yi Mei, Mengjie Zhang, “Contribution-based Cooperative Co-evolution for Non-separable Large-scale Problems with Overlapping Subcomponents,” IEEE Transactions on Cybernetics, 2020.

• Ya-Hui Jia, Wei-Neng Chen, Tianlong Gu, et al., “Distributed Cooperative Co-evolution with Adaptive Computing Resource Allocation for Large Scale Optimization,” IEEE Transactions on Evolutionary Computation, vol. 23, no. 2, pp. 188-202, 2018.

• Ya-Hui Jia, Wei-Neng Chen, Tianlong Gu, et al., “A Dynamic Logistic Dispatching System With Set-Based Particle Swarm Optimization,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 9, pp. 1607-1621, 2018.

• Ya-Hui Jia, Wei-Neng Chen, Huaqiang Yuan, et al., “An Intelligent Cloud Workflow Scheduling System with Time Estimation and Adaptive Ant Colony Optimization,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 1, pp. 634-649, 2021.

• Wei-Neng Chen, Ya-Hui Jia, Feng Zhao, et al., “A Cooperative Co-evolutionary Approach to Large-Scale Multisource Water Distribution Network Optimization,” IEEE Transactions on Evolutionary Computation, vol. 23, no. 5, pp. 842-857, 2019.

• Guanqiang Gao, Yi Mei, Ya-Hui Jia, et al., “Adaptive Coordination Ant Colony Optimization for Multi-Point Dynamic Aggregation,” IEEE Transactions on Cybernetics, 2020.

• Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will N. Browne, “Automated Coordination Strategy Design using Genetic Programming for Dynamic Multi-Point Dynamic Aggregation,” IEEE Transactions on Cybernetics, 2021.

• Ya-Hui Jia, Yu-Ren Zhou, Ying Lin, et al., “A Distributed Cooperative Co-evolutionary CMA Evolution Strategy for Global Optimization of Large-Scale Overlapping Problems,” IEEE Access, vol. 7, pp. 19821-19834, 2019.

• Ya-Hui Jia, Yi Mei, Mengjie Zhang, “A Memetic Level-based Learning Swarm Optimizer for Large-scale Water Distribution Network Optimization”, in Proceedings of the 2020 Annual Conference on Genetic and Evolutionary Computation, pp. 1107-1115.

• Ya-Hui Jia, et al., “Generating Software Test Data by Particle Swarm Optimization,” in Proceedings of Asia-Pacific Conference on Simulated Evolution and Learning 2014, pp. 37-47.

• Ya-Hui Jia, Wei-Neng Chen, and Xiao-Min Hu, “A PSO approach for software project planning,” in Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, pp. 7-8.

• Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will N. Browne, “A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions,” in Proceedings of the 2020 IEEE Congress on Evolutionary Computation, pp. 1-8.