2010.09-2015.07 清华大学 能源与动力工程系 工学博士
2006.09-2010.07 清华大学 能源与动力工程系 工学学士

2021.01- 泛亚电竞游戏平台 副教授
2018.07-2020.12 泛亚电竞游戏平台 助理教授
2015.11-2018.06 University of Pittsburgh,USA 博士后

2013.11-2014.05 Virginia Polytechnic Institute and State University, USA, Visiting Scholar

传热问题的人工智能和优化理论：
（1）传热问题的深度学习和人工智能方法
（2）参数化拓扑优化、伴随拓扑优化技术
（3）数据驱动的物理场空间推演算法

金属增材制造（3D打印）和高复杂度传热部件的应用：
（1）航空发动机/燃气轮机热端部件冷却和热防护
（2）自组织仿生机制及其流动传热机理
（3）高效紧凑式换热器

欢迎对人工智能、拓扑优化、仿生学、3D打印和传热学感兴趣的同学报考博士（要求数学基础良好）、硕士。
欢迎相关领域的博士毕业生加入课题组展开博士后研究。
研究案例视频：https://www.researchgate.net/publication/350343943_Deep_learning_self_organization_and_additive
欢迎下载观看（点击Download file PDF）。

主持纵向课题：
2024-2027，国家自然科学基金面上项目，《涡轮叶片冷却结构的自组织拓扑调控方法研究》
2023-2024，重燃专项子课题，《基于创成式方法的xxx叶片设计与验证》
2023-2024，结冰与防除冰重点实验室开放课题
2022-2023，上海市科技创新行动计划自然科学基金面上项目
2020-2021，空气动力学国家重点实验室开放课题，《涡轮叶片肋壁-气膜耦合流动换热特性研究》
2020-2022，国家自然科学基金青年项目，《基于增材制造和机器学习的非规则发散冷却的传热机制和建模方法研究》
2019-2022, 上海市青年科技英才扬帆计划

主持横向课题：
2022-2023，中国石油集团应急救援响应中心外委课题，《xxx井周温度场研究》
2022-2023，中国航空发动机研究院外委课题，《xxx试验与模型构建》
2022-2022，空气动力学研究中心外委课题，《涡轮叶片复合冷却优化设计方法研究》
2020-2021，天洑软件有限公司外委课题，《基于深度学习的船舶xxx代理模型》
2019-2020, 华为公司项目，《基于机器学习的xxx代理模型》

其他参与课题：
2017-2018, 美国能源部项目-大学涡轮系统研究，Integrated Transpiration and Lattice Cooling Systems Developed by Additive Manufacturing with Oxide-Dispersion Strengthened Alloys, (DE- FE0031277),
2015-2018, 美国能源部项目-大学涡轮系统研究，Design, Fabrication and Performance Characterization of Near-Surface Embedded Cooling Channels with an Oxide Dispersion Strengthened (ODS) Coating Layer, (DE- FE0025793)

Lead author/Corresponding author publications:
2023年
1. Hongqian Yu, Jian Lou, Han Liu, Zhiwei Chu, Qi Wang, Li Yang, Yu Rao. "A transfer learning method to assimilate numerical data with experimental data for effusion cooling." Applied Thermal Engineering. 224(2023):120075.
2. Yu, Bocheng, Zijie Lu, Binyan Wang, Xinxing Wang, Jian Lou, Li Yang, and Weihong Li. "A Bioinspired Programmable Self-Organization Approach for Designing Additively Manufactured Heat Sinks." Energy Conversion and Management 286 (2023).
3. Wang, Qi, Yang Li, Jian Lou, Li Yang. "A Decision-Making Design Approach to Optimize the Hole Arrangement of Effusion Cooling Plates under Non-Uniform Heat Load Conditions." Applied Thermal Engineering 235 (2023).
4. Li, Jingnan, Li Yang. "Recent Development of Heat Sink and Related Design Methods." Energies 16, no. 20 (2023).
5. Hu, Kaibin, Cheng Lu, Bocheng Yu, Li Yang, Yu Rao. "Optimization of Bionic Heat Sinks with Self-Organized Structures Inspired by Termite Nest Morphologies." International Journal of Heat and Mass Transfer 202 (2023).
2022年
6. Wang Qi, Yang Li, Huang Kang. “Fast prediction and sensitivity analysis of gas turbine cooling performance using supervised learning approaches.” Energy. 246(2022):123373.
7. Wang Qi, Zhou Weiwei, Yang Li, Huang Kang. “Comparison between conventional and deep learning-based surrogate models in predicting convective heat transfer performance of U-bend channels.” Energy and AI. 8(2022):100140.
8. Li Yang, Qi Wang, and Yu Rao. "An Iterative Neural Operator to Predict the Thermo-Fluid Information in Internal Cooling Channels." Journal of Turbomachinery 144, no. 12 (2022).
2021年
9. Li Yang, Wei Dai, Yu Rao, Minking K. Chyu. "A machine learning approach to quantify the film cooling superposition effect for effusion cooling structures." International Journal of Thermal Sciences 162 (2021): 106774.
10. Li Yang, Qi Wang, Yu Rao. "Searching for irregular pin-fin shapes for high temperature applications using deep learning methods." International Journal of Thermal Sciences 161 (2021): 106746.
11. Qi Wang, Li Yang*, Yu Rao. "Establishment of a generalizable model on a small-scale dataset to predict the surface pressure distribution of gas turbine blades." Energy 214 (2021): 118878.
2020年
12. Li Yang, Qi Wang, Kang Huang, Yu Rao. "Establishment of a long-short-term-memory model to predict film cooling effectiveness under superposition conditions." International Journal of Heat and Mass Transfer 160 (2020): 120231.
13. Parbat, Sarwesh, Zheng Min, Li Yang, Minking Chyu. "Experimental and Numerical Analysis of Additively Manufactured Inconel 718 Coupons with Lattice Structure." Journal of Turbomachinery 142, no. 6 (2020).
2019年
14. Li Yang, Wei Dai, Yu Rao, Minking K. Chyu. "Optimization of the hole distribution of an effusively cooled surface facing non-uniform incoming temperature using deep learning approaches." International Journal of Heat and Mass Transfer 145 (2019): 118749.
15. Li Yang, Zheng Min, Tianwei Yue, Yu Rao, Minking K. Chyu. "High resolution cooling effectiveness reconstruction of transpiration cooling using convolution modeling method." International Journal of Heat and Mass Transfer 133 (2019): 1134-1144.
16. Sarwesh Narayan Parbat, Li Yang*, Zheng Min, Minking K. Chyu. "Experimental and Numerical Analysis of Additively Manufactured Coupons with Parallel Channels and Inline Wall Jets." Journal of Turbomachinery 141.6 (2019).
17. Zheng Min, Gan Huang, S.N. Parbat, Li Yang*, Minking K. Chyu. "Experimental investigation on additively manufactured transpiration and film cooling structures." Journal of Turbomachinery 141.3 (2019).
18. Wandong Bai, Wei Chen, Li Yang*, Minking K. Chyu. "Numerical investigation on heat transfer and pressure drop of pin-fin array under the influence of rib turbulators induced vortices." International Journal of Heat and Mass Transfer 129 (2019): 735-745.
2018年
19. Li Yang, Wei Chen, Minking K. Chyu. "A convolution modeling method for pore plugging impact on transpiration cooling configurations perforated by straight holes." International Journal of Heat and Mass Transfer 126 (2018): 1057-1066.
20. Li Yang, Prashant Singh, Kartikeya Tyagi, Jaideep Pandit, Srinath V. Ekkad, Jing Ren. "Experimental Investigation of Rotational Effects on Heat Transfer Enhancement Due to Crossflow-Induced Swirl Using Transient Liquid Crystal Thermography." Journal of Thermal Science and Engineering Applications 10.3 (2018).
21. Chen, Wei, Zenan Yang, Li Yang, and Minking K. Chyu. "Numerical Investigation of Heat Transfer and Flow Characteristics of Supercritical Co2 in U-Duct." Applied Thermal Engineering 144 (2018): 532-39.
22. Zheng Min, Sarwesh Narayan Parbat, Li Yang, Minking K. Chyu. "Fabrication and Characterization of Additive Manufactured Nickel-Based Oxide Dispersion Strengthened Coating Layer for High-Temperature Application." Journal of Engineering for Gas Turbines and Power 140.6 (2018).

Co-author publications:
2023年
1. Rao, Yu, Yuan Li, Yuyang Liu, and Li Yang. "Experimental and Numerical Studies on Enhanced Effusion Cooling with Shallowly Dimpled Film Holes on Double-Wall Structure Surface." International Journal of Heat and Fluid Flow 101 (2023).
2022年
1. Yeranee, Kirttayoth, Yu Rao, Li Yang, and Hao Li. "Improved Thermal Performance of a Serpentine Cooling Channel by Topology Optimization Infilled with Triply Periodic Minimal Surfaces." Energies 15, no. 23 (2022).
2. Yeranee, Kirttayoth, Yu Rao, Li Yang, and Hao Li. "Enhanced Thermal Performance of a Pin-Fin Cooling Channel for Gas Turbine Blade by Density-Based Topology Optimization." International Journal of Thermal Sciences 181 (2022).
2021年
3. Liu, Yuyang, Yu Rao, Li Yang, Yamin Xu, Alexandros Terzis. "Flow and Heat Transfer Characteristics of Double-Wall Cooling with Multi-Row Short Film Cooling Hole Arrangements." International Journal of Thermal Sciences 165 (2021).
4. Luo, Jiahao, Yu Rao, Li Yang, Mingyang Yang, Hang Su. "Computational Analysis of Turbulent Flow and Heat Transfer in Latticework Cooling Structures under Various Flow Configurations." International Journal of Thermal Sciences 164 (2021).
2020年
5. Liu, Yuyang, Yu Rao, Li Yang. "Numerical Simulations of a Double-Wall Cooling with Internal Jet Impingement and External Hexagonal Arrangement of Film Cooling Holes." International Journal of Thermal Sciences 153 (2020).
2018年
6. Gan Huang, Zheng Min, Li Yang, Pei-Xue Jiang, Minking K Chyu. "Transpiration cooling for additive manufactured porous plates with partition walls." International Journal of Heat and Mass Transfer 124 (2018): 1076-1087.

中文期刊
1. 汪奇,杨力,饶宇.深度学习方法在涡轮冷却中的应用综述[J].工程热物理学报,2022,43(03):656-662.
2. 周炜玮,汪奇,杨力等.物理启发的深度学习模型及其在热端部件散热中的应用[J].推进技术,2022,43(10):265-273.
3. 周炜玮;汪奇;杨力;黄康. "物理启发的深度学习模型及其在热端部件散热中的应用." 推进技术 43.10(2022):265-273.
4. 罗稼昊,饶宇,杨力.不同流动配置下涡轮叶片交错肋冷却流动传热特性数值模拟[J].推进技术,2021,42(12):2789-2798.
5. 戴维, 杨力,and 饶宇."基于生成对抗网络的涡轮端壁气膜冷却建模方法." 工程热物理学报 41.10(2020):2420-2424.

《工程学导论》，本科生，3学分, 48学时

毕业生：
2018级：戴维（泛亚电竞游戏平台优秀毕业生）
2019级：黎杨、周炜玮
2020级：楼健、王新兴

科创：
余柏呈等，泛亚电竞游戏平台十佳大创项目，国家级大创项目，泛亚电竞游戏平台优秀毕业生

一种基于扩散反扩散系统的自组织热沉结构设计方法
基于图像深度学习的气膜冷却预测及交互设计平台

期刊编委：
Propulsion and Energy，青年编委
Energies，客座主编
Aerospace，客座编委

期刊审稿人：
Reviewer (2023-present), Energy Conversion and Management
Reviewer (2022-present), Physics of Fluid
Reviewer (2022-present), Engineering Applications of Artificial Intelligence
Reviewer (2018-present), ASME J. Heat Trans.
Reviewer (2017-present), Journal of Applied Thermal Engineering
Reviewer (2017-present), International Journal of Mechanical Sciences
Reviewer (2017-present), International Journal of Heat and Mass Transfer
Reviewer (2014-present), ASME J. Thermal Sci. Eng. Appl.
Reviewer (2014-present), International Journal of Thermal Sciences
Reviewer (2013-present), Fluid Dynamics and Material Processing