张琳昕，女，1995.3月生，博士
电子邮箱：[email protected]
研究方向：智能优化计算、强化学习、新能源系统优化
教育经历：
2013.09-2017.07，郑州大学，通信工程，学士；
2017.09-2020.07，郑州大学，信息与通信工程，硕士；
2022.09-2026.01，澳门城市大学，数据科学，博士。
学术论文代表作：
[1] Zhang L, Yang Z, Xiao Q, et al. Distributed scheduling for multi-energy synergy system considering renewable energy generations and plug-in electric vehicles: A level-based coupled optimization method[J]. Energy and AI,2024,16: 100340.（中科院2区，IF=9.6）
[2] Zhang L, Ying Z, Yang Z, et al. Dynamic Multi-Energy Optimization for Unit Commitment Integrating PEVs and Renewable Energy: A DO3LSO Algorithm[J]. Mathematics, 2024,12(24): 4037.（中科院3区，IF=2.2）
[3] Zhang L, Hu T, Zhang L, et al. A novel dynamic opposite learning enhanced Jaya optimization method for high efficiency plate–fin heat exchanger design optimization[J]. Engineering Applications of Artificial Intelligence, 2023,119: 105778.（中科院1区，IF=8）
[4] Zhang L, Yang Z, Guo Y, et al. Multi-constraint Optimization for Energy Scheduling of Plug-In Electric Vehicles[C]//International Conference on Life System Modeling and Simulation. Singapore: Springer Nature Singapore, 2024: 343-356.（EI）
[5] Zhang L, Zong J, Han G, et al. Modulation division based user grouping transmission in massive simo systems[C]//2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW). IEEE, 2020: 1-5.（EI）
[6] Han G, Zhang L, Mu X, et al. QAM Division Based Space-Time Modulation for Two-User Uplink Massive MIMO Systems[C]//2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2018: 329-3293.（EI）
