吴夏来，副教授，硕士研究生导师。2019年于浙江大学控制学院获工学博士学位。目前主要从事工业过程及中低温余热回收系统的优化控制研究。主持浙江省自然科学基金1项，湖州市自然科学基金2项，工业控制技术国家重点实验室开放课题2项；参与国家自然科学基金和中德合作科研项目（PPP）各1项。近年在国内外重要学术期刊和会议上发表论文10多篇，授权发明专利3项。指导研究生曾获国家奖学金、校级优秀毕业生等荣誉。

主要研究方向：智能预测控制算法、余热回收发电过程最优控制、车辆运动控制算法、强化学习等。

部分科研论文：

(1) Xiao, L., Liu, P., Wu, X^*. et al. A hybrid multi-stage optimization approach for multi-vehicle motion planning problems with lane changing[J]. Complex Intell-Syst, 2026, 12: 116.

(2) Wu X, Lin L, Xie L, et al. Fast robust optimization of ORC based on an artificial neural network for waste heat recovery[J]. Energy, 2024, 301: 131652.

(3) Wu X, Qin J, Chen J, et al. Efficient predictive control method for ORC waste heat recovery system based on recurrent neural network[J]. Applied Thermal Engineering, 2024, 257: 124352.

(4) Wu X, Lin L, Chen J, et al. A fast predictive control method for vehicle path tracking based on a recurrent neural network[J]. IEEE Access, 2024, 12: 141104-141115.

(5) Wu X, Zhang N, Xie L, et al. Thermo-economic optimization design of the ORC system installed on a light-duty vehicle for waste heat recovery from exhaust heat[J]. Energies, 2022, 15(12): 4486.

(6) Lin R, Luo Y, Wu X, et al. Surrogate empowered Sim2Real transfer of deep reinforcement learning for ORC superheat control[J]. Applied Energy, 2024, 356: 122310.

联系方式：02918@zjhu.edu.cn