Gu Yi, an associate professor and master's supervisor at the School of Transportation Engineering, Central South University, serves as the propaganda committee member of the faculty party branch of the Logistics Engineering Department. He obtained his Bachelor of Engineering degree from Beihang University in 2017 and his Doctor of Engineering degree from Beihang University in 2023. He was awarded the Innovation-driven Plan of the School of Transportation Engineering in 2024. He serves as a young editorial board member of the Journal of Traffic Safety and Environment, a member of the Intelligent Simulation Optimization and Scheduling Committee of the China Simulation Society, a member of the China Astronautics Society, a member of the Chinese Association for Artificial Intelligence, a member of the China Command and Control Society, a member of the China Instrumentation and Control Society, a member of the Hunan Railway Society, and a member of the Hunan Operational Research Society.

He has long been engaged in research on intelligent decision-making optimization problems in aerospace systems, with main research directions including low-altitude traffic planning and aircraft scheduling, satellite communication and navigation support resource scheduling, and space traffic safety control. His research methods include intelligent optimization algorithms, evolutionary computation, and deep reinforcement learning. His recent research interests include large language models and the construction of task control agents. He has published more than 20 academic papers in authoritative journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Computers & Industrial Engineering, Swarm and Evolutionary Computation, Tsinghua Science and Technology, and Journal of Aeronautics. He has led and participated in more than 20 scientific research projects, including the National Natural Science Foundation of China, the 173 Basic Strengthening Program, and the Aerospace First Institute Enterprise Joint Innovation Fund. He participated in organizing the special session on "Intelligent Decision-Making Planning for Complex Dynamic Unmanned Swarm Systems" at the 8th IEEE International Unmanned Systems Conference in 2025. He serves as a reviewer for several high-level journals in the fields of aerospace and intelligent decision-making optimization, including IEEE Transactions on Industrial Informatics, Information Sciences, Advances in Space Research, IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Geoscience and Remote Sensing, Aerospace Science and Technology, Expert Systems With Applications, and Nuclear Science and Techniques. He was also invited to serve as a guest editor for the journal Electronics.

Admission Plan：

He recruits three master's degree candidates every year. His team boasts a positive research atmosphere, ample research funding, and abundant achievements. Students majoring in transportation engineering, automation, computer science, aerospace, mathematics, and other related fields are welcome to join the research group to pursue their degrees. Undergraduates are also welcome to join the group early to engage in research work. His team maintains long-term close cooperation with renowned universities both domestically and internationally, including Tsinghua University, Beihang University, Beijing Institute of Technology, National University of Defense Technology, Queen Mary University of London (QMUL), Korea Advanced Institute of Science and Technology (KAIST), National University of Singapore, and Hong Kong Polytechnic University. Excellent students can be recommended to pursue master's or doctoral degrees at these universities.

E-mail: yi.gu@csu.edu.cn

Some academic achievements:

Ensemble time freedom heuristic and intelligent optimization algorithm for relay satellites scheduling considering multi-type task requirements[J]. Expert Systems with Applications, 2026, 316: 131815.

Three-stage based hybrid metaheuristic algorithm for agile satellites joint imaging and data transmission scheduling[J]. Tsinghua Science and Technology, 2026, 31(1): 238-258. 

Multi-objective early warning mission planning by multiple satellites using a critical task aggregation-based NSGA-II algorithm[J].  Advances in Space Research, 2026. 

Multi-objective Orbital Maneuver Optimization of Multi-satellite using an Adaptive Feedback Learning NSGA-II[J]. Swarm and Evolutionary Computation, 2025, 93: 101835. 

Extended 2-D Map for Satellite Coverage Analysis Considering Elevation-Angle Constraint[J]. IEEE Transactions on Aerospace and Electronic Systems, 2024, 60(5): 6531–6549. 

Improved adaptive large neighborhood search algorithm based on the two-stage framework for scheduling multiple super-agile satellites[J]. IEEE Transactions on Aerospace and Electronic Systems, 2024, 60(5): 7185–7200. 

Adaptive variable neighborhood search algorithm with Metropolis rule and tabu list for satellite range scheduling problem[J]. Computers & Operations Research, 2024, 170: 106757.

Large region targets observation scheduling by multiple satellites using resampling particle swarm optimization[J]. IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(2): 1800-1815. 

Mission replanning for multiple agile Earth observation satellites based on cloud coverage forecasting[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 594-608. 

Simulated Annealing-Based Heuristic for Multiple Agile Satellites Scheduling Under Cloud Coverage Uncertainty[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 53(5): 2863-2874. 

Robust scheduling for multiple agile Earth observation satellites under cloud coverage uncertainty[J]. Computers & Industrial Engineering, 2021, 156: 107292.

Rapid algorithm for covariance ellipsoid model based collision warning of space objects[J]. Aerospace Science and Technology, 2021, 117: 106960.

基于网格剖分的敏捷卫星区域目标观测调度方法[J]. 航空学报, 2026, 1-22. (航空航天类中文期刊排名第一)

基于改进NSGA-Ⅲ的多星周期性轮巡观测优化调度方法[J]. 航空学报, 2026, 47(23): 533333. (航空航天类中文期刊排名第一)

大模型驱动的高低轨卫星协同观测任务规划研究[J]. 宇航学报, 2026, 47(03), 547-562. 

基于视场映射模型的GEO目标观测覆盖性分析[J]. 航空学报, 2025, 46(15): 331570. (航空航天类中文期刊排名第一)

考虑平台姿轨复合运动的卫星载荷覆盖分析方法[J]. 武汉大学学报（信息科学版）, 2025, 1-19. 

基于仰角视元模型的星地快速覆盖分析方法[J]. 航空学报, 2024, 45(23): 330372. (航空航天类中文期刊排名第一)

基于卫星云图的大区域云层预测方法[J]. 中国空间科学技术, 2023, 43(2): 165-173.