师资队伍

tao.ren@sjtu.edu.cn

任涛

长聘副教授，博导

tao.ren@sjtu.edu.cn

Address：A-405

Educational Background
  • 2011.08-2015.05，加州大学默塞德分校，机械工程，博士
  • 2008.09-2011.07，华中科技大学，热能工程，硕士
  • 2004.09-2008.07，西安交通大学，热能与动力工程，学士
Bio
  • 2025.01-至今，      上海交通大学，中英国际低碳学院，长聘副教授
  • 2018.09-2024.12，上海交通大学，中英国际低碳学院，长聘教轨副教授
  • 2017.06-2018.05，加州大学默塞德分校，助理项目科学家、讲师
  • 2015.06-2017.05，加州大学默塞德分校，博士后、讲师
Research Fields
  • 辐射换热
  • 大气温室气体光学监测（基于卫星光谱和人工智能）
  • 燃烧诊断（基于红外光谱和人工智能）
  • 高温气体光谱学

常年招收硕、博研究生，对以上研究方向感兴趣者，欢迎邮件联系！
 

Research Projects
  1. “基于大气辐射光谱遥感测量的温室气体浓度垂直分布高效反演方法研究”，国家自然科学基金面上项目，2023/01-2026/12，负责人。
  2. “湍流辐射交互作用对燃烧中热辐射光谱的影响研究”，上海市自然科学基金面上项目，2020/07-2023/06，负责人。
  3. “高温多介质辐射模型开发”，中国航发湖南动力机械研究所产学研合作项目，2022/12-2023/12，负责人。
  4. “High-fidelity thermal radiation models and measurements for high-pressure reacting laminar and turbulent flows,” Air Force Office of Scientific Research, Participating researcher, 4/1/2010-3/31/2013, $439,184.
  5. “Radiation Tools for the Determination of Temperatures and Concentrations from Radiometric Measurements in Laminar and Turbulent Combustion Systems,” National Science Foundation, Leading researcher, 6/1/2010-5/31/2013, $325,000.
  6. “A General Solver Framework for Radiative Heat Transfer Models in Combustion Systems” CFDR Corporation (subcontract of Air Force Office of Scientific Research SBIR I), Leading researcher, 6/1/2014-2/28/2015, $50,000.
  7. “A General Solver Framework for Radiative Heat Transfer Models in Combustion Systems, CFDR Corporation (subcontract of Air Force Office of Scientific Research SBIR II), Leading researcher, 6/15/2015-6/14/2017, $352,029.
Publications

期刊

  1. W. Chen, T. Ren*, C. Zhao, Y. Wen, Y. Gu, M. Zhou and P. Wang. Transformer-based fast mole fraction of CO2 retrievals from satellite-measured spectra. Journal of  Remote Sensing. 5:0470, 2025

  2. H. Li, T. Ren* and C. Zhao. A physics-informed neural network for non-linear laser absorption tomography. Journal of Quantitative Spectroscopy and Radiative Transfer, 330: 109229, 2025

  3. F. Xie*, T. Ren*, C. Zhao, Y. Wen, Y. Gu, M. Zhou, P. Wang, K. Shiomi, and I. Morino. Fast retrieval of XCO2 over east Asia based on Orbiting Carbon Observatory-2 (OCO-2) spectral measurements, Atmospheric Measurement Techniques, 17, 3949–3967, 2024.

  4. W. Chen, T. Ren* and C. Zhao. A machine learning based model for gray gas emissivity and absorptivity of H2O-CO2-CO-N2 mixtures. Journal of Quantitative Spectroscopy and Radiative Transfer, 312: 108798, 2024

  5. T. Ren*, Y. Han, M. F. Modest, A. Fateev and G. Sutton. Evaluation of spectral line mixing models and the effects on high pressure radiative heat transfer calculations. Journal of Quantitative Spectroscopy and Radiative Transfer, 302:108555, 2023

  6. Y. Yang, T. Ren*, C. Zhao and T. Jin. Assessment of turbulence–radiation interactions in spectral radiative emission–absorption modeling. International Communications in Heat and Mass Transfer, 140:106554, 2023

  7. F. Xie, T. Ren*, Z. Zhao and C. Zhao. A machine learning based line-by-line absorption coefficient model for the application of atmospheric carbon dioxide remote sensing. Journal of Quantitative Spectroscopy and Radiative Transfer, 296:108441, 2023

  8. H. Li, T. Ren*, X. Liu* and C. Zhao. U-Net applied to retrieve two-dimensional temperature and CO2 concentration fields of laminar diffusion flames. Fuel, 324:12447, 2022

  9. T. Ren*, H. Li, M. F. Modest and C. Zhao. Machine learning applied to the retrieval of three-dimensional scalar fields of laminar flames from hyperspectral measurements. Journal of Quantitative Spectroscopy and Radiative Transfer, 279:108047, 2022

  10. Z. Zhao, F. Xie, T. Ren* and C. Zhao. Atmospheric CO2 retrieval from satellite spectral measurements by a two-step machine learning approach. Journal of Quantitative Spectroscopy and Radiative Transfer, 278:108006, 2022

  11. T. Ren*, H. Li, M. F. Modest and C. Zhao. Efficient two-dimensional scalar fields reconstruction of laminar flames from infrared hyperspectral measurements with a machine learning approach. Journal of Quantitative Spectroscopy and Radiative Transfer, 271:107724, 2021

  12. C. Wang, M. F. Modest*, T. Ren, J. Cai and B. He. Comparison and refinement of the various full-spectrum k-distribution and spectral-line-based-weighted-sum-of-gray-gases models for nonhomogeneous media. Journal of Quantitative Spectroscopy and Radiative Transfer, 271:107695, 2021

  13. Y. Zhou, C. Wang, T. Ren* and C. Zhao. A machine learning based full-spectrum correlated k-distribution model for nonhomogeneous gas–soot mixtures. Journal of Quantitative Spectroscopy and Radiative Transfer, 268:107628, 2021

  14. Q. Wang, Z. Li, C. Li, H. Liu, and T. Ren*. A machine learning approach assisting soot radiation-based thermometry to recover complete flame temperature field in a laminar flame. Applied Physics B: Lasers and Optics, 127: 36, 2021

  15. T. Ren, Y. Zhou, Q. Wang*, H. Liu*, Z. Li, and C. Zhao. Machine learning-assisted soot temperature and volume fraction fields predictions in the ethylene laminar diffusion flames. Optics Express. 29(2): 1678-1693, 2021

  16. Y. Zhou, C. Wang and T. Ren*. A machine learning based efficient and compact full-spectrum correlated k-distribution model. Journal of Quantitative Spectroscopy and Radiative Transfer, 254:107199, 2020

  17. T. Ren*, M. F. Modest, A. Fateev, G. Sutton, W. Zhao, and F. Rusu. Machine Learning applied to retrieval of temperature and concentration distributions from infrared emission measurements. Applied Energy, 252, 113448, 2019

  18. T. Ren* and M. F. Modest. Line-by-line random-number database for photon Monte Carlo simulations of radiation in participating media. Journal of Heat Transfer, 141(2):022701, 2019

  19. C. Wang, B. He, M. F. Modest*, and T. Ren. Efficient full-spectrum correlated-k-distribution look-up table. Journal of Quantitative Spectroscopy and Radiative Transfer, 219:108–116, 2018

  20. T. Ren, M. F. Modest*, and D. C. Haworth. Simulating turbulence radiation interactions using the presumed probability density function method. International Journal of Heat and Mass Transfer, 121:911–923, 2018

  21. T. Ren, M. F. Modest*, and S. Roy. Monte Carlo simulation for radiative transfer in a high-pressure industrial gas turbine combustion chamber. Journal of Engineering for Gas Turbines and Power, 140(5):051503, 2018

  22. T. Ren and M. F. Modest*. Optical determination of temperature and concentrations of homogeneous turbulent gas mixtures. International Journal of Heat and Mass Transfer, 104:362–373, 2017

  23. T. Ren and M. F. Modest*. Optical determination of temperature and species concentration for homogeneous turbulent gas medium. International Journal of Heat and Mass Transfer, 90:1178–1187, 2015

  24. T. Ren and M. F. Modest*. Temperature profile inversion from carbon-dioxide spectral intensities through Tikhonov regularization. Journal of Thermophysics and Heat Transfer, 30(1):211–218, 2015

  25. T. Ren, M. F. Modest*, A. Fateev, and S. Clausen. An inverse radiation model for optical determination of temperature and species concentration: development and validation. Journal of Quantitative Spectroscopy and Radiative Transfer, 151(0):198–209, 2015

  26. T. Ren and M. F. Modest*. Hybrid wavenumber selection scheme for line-by-line photon Monte Carlo simulations in high-temperature gases. Journal of Heat Transfer, 135(8):084501–084501, 2013

  27. X. Y. Zhao*, D. C. Haworth, T. Ren, and M. F. Modest. A transported probability density function/photon Monte Carlo method for high-temperature oxy–natural gas combustion with spectral gas and wall radiation. Combustion Theory and Modelling, 17(2):354–381, 2013

  28. 张辰飏, 陈玮, 李洪绪, 王良, 曾琦, 曹俊, 任涛*. 简化化学反应条件下火焰碳烟生成与辐射特性仿真和实验验证[J].. 动力工程学报, 录用 

  29. 李洪绪, 陈玮, 张辰飏, 任涛*. 基于物理信息神经网络和发射光谱测量的火焰多参数反演：模型构建与实验验证[J]. 光学学报, 45(1): 0130001, 2025 

  30. 庞佳婕, 王良, 曾琦, 曹俊, 任涛*. 高阶球形谐波法求解辐射传输方程：模型开发与ANSYS-Fluent实现[J]. 动力工程学报, 45(1), 1-9, 2025

  31. 王龙, 王良, 曾琦, 曹俊, 任涛*. 针对CO2-H2O-CO-碳烟混合介质的全光谱相关k分布辐射模型在ANSYS-Fluent中的开发与验证[J]. 动力工程学报, 44(12), 1819-1827, 2024

  32. 韩永康,谢逢欣,任涛*. 基于伪洛伦兹线型的气体发射率计算模型[J]. 热能动力工程, 38(7): 60, 2023 

  33. 张倚成,韩永康,周亚,任涛*,刘训臣. 基于机器学习对火焰温度场和CO2浓度场的同步重建[J]. 光学学报, 40(23): 2312003, 2020  

 

国际会议 

  1. W. Chen and T. Ren*. A machine learning-based grey gas emissivity model for H2O-CO2-CO-N2 mixtures. In Paper No.RAD-23 GR07, Thessaloniki, Greece, 2023. Proceedings of the 10th International Symposium on Radiative Transfer, RAD-23

  2. H. Li and T. Ren*. A physics informed neural network for retrieving two-dimensional scalar fields of laminar diffusion flames. In Paper No.RAD-23 IR03, Thessaloniki, Greece, 2023. Proceedings of the 10th International Symposium on Radiative Transfer, RAD-23

  3. T. Ren*, M. F. Modest. Reconstruction of Three-Dimensional Temperature and Concentration Fields of a Laminar Flame by Machine Learning. In Paper No. IR 01, Athens, Greece, 2019. Proceedings of the 9th International Symposium on Radiative Transfer, RAD-19

  4. G. Wenjun, T. Ren, M. F. Modest*, S. Roy, and D. C. Haworth. Application of high-order spherical harmonics methods for radiative transfer in simulation of a turbulent jet flame. In ICHMT Digital Library Online, 2017

  5. T. Ren and M. F. Modest*. Line-by-Line Random-Number Database for Monte Carlo Simulations of Radiation in Combustion System. In ICHMT Digital Library Online, 2017

  6. T. Ren, M. F. Modest*, and S. Roy. Monte Carlo Simulation for Radiative Transfer in a High-Pressure Industrial Gas Turbine Combustion Chamber. In Paper No. HT2017-4819, page V001T02A003, Bellevue, Washington, 2017. Proceedings of the 2017 ASME Summer Heat Transfer Conference

  7. T. Ren and M. F. Modest*. Optical determination of temperature and concentrations for laminar and turbulent gas mixtures. In Paper No.RAD-16-33, Cappadocia, Turkey, 2016. Proceedings of the 8th International Symposium on Radiative Transfer, RAD-16

  8. T. Ren and M. F. Modest*. Optical determination of temperature and species concentration for homogeneous turbulent gas medium. In Paper No. TFESC-12546, New York City, USA, 2015. Proceedings of the 1st Thermal and Fluids Engineering Summer Conference, TFESC-1

  9. T. Ren and M. F. Modest*. Temperature profile inversion from CO2 spectral intensities through Levenberg-Marquardt optimization and Tikhonov regularization. In Paper No.1896725, Atlanta, GA, 2014. 11th AIAA/ASME Joint Thermophysics and Heat Transfer Conference

  10. T.  Ren, T. A. Reeder, and M. F. Modest*. An inverse radiation model for optical determination of temperature and CO2 concentration: development and validation. In Paper No. IMECE2013 64973, San Diego, CA, 2013. Proceedings of ASME 2013 International Mechanical Engineering Congress & Exposition

  11. T. Ren, T. A. Reeder, and M. F. Modest*. Investigation of optimal wavenumber range and resolution for determination of combustion gas temperature and concentration. In Paper No. HT2013-17503, Minneapolis, MN, 2013. Proceedings of the 2013 ASME Summer Heat Transfer Conference

  12. T. Ren and M. F. Modest*. Improved wavenumber selection scheme for line-by-line photon Monte Carlo simulations in combustion systems. In Paper No. HT2012-58366, Rio Grande, Puerto Rico, 2012. Proceedings of the 2012 ASME Summer Heat Transfer Conference

 

Teaching

上海交通大学：          

加州大学默塞德分校：          

  • Fluid Mechanics（本科生）, 48学时，2018 春季学期
  • Heat Transfer（本科生）, 48学时，2016, 2017 夏季学期
Patents
  1. 软件著作权：陈玮，任涛. 上海交通大学. 水蒸气-二氧化碳-一氧化碳-氮气混合气体全吸收发射率计算软件V1.0.  授权号：2023SR0487534. 2023-04-20
Other Professional Activities
  • 国际传热传质中心（ICHMT）科学理事会成员
  • 第十一届国际辐射传输大会（ RAD-25）科学委员会成员
  • 《Carbon Neutrality》青年编委，客座编辑
  • 十届国际辐射传输大会“气体辐射”分会场主席
  • 担任以下期刊审稿人：International Journal of Heat and Mass Transfer, Combustion and Flame, Applied Energy, Journal of Quantitative Spectroscopy and Radiative Heat Transfer, International Communications in Heat and Mass Transfer, Optics Express, Optics Letters, Journal of Thermophysics and Heat Transfer, Journal of Heat Transfer, Journal of Propulsion and Power, Journal of Thermal Science and Engineering Applications, Computer Physics Communications, Combustion Science and Technology, International Journal of Digital Earth, Energy and AI, Solar Energy.
Honors and Awards
  • 上海交通大学“卓越教学奖提名奖”（2024）
  • 上海交通大学研究生教学成果奖一等奖，排二（2024）
  • 第一届上海市大学生节能减排社会实践与科技竞赛二等奖，指导老师（2024）
  • 中国工程热物理学会传热传质学术会议“王补宣-过增元青年优秀论文奖”二等奖，指导老师（2023）
  • 研究生优秀班主任（2023）
  • 教职工年度考核优秀（2022）