王鹏 - 北京航空航天大学 - 集成电路科学与工程学院

个人简介

教育经历 2007.9-2011.6 美国加州大学圣迭戈分校计算科学专业博士博士研究生毕业计算科学专业 2007.9-2010.6 美国加州大学圣迭戈分校工程科学硕士硕士工程科学专业 2003.9-2007.6 英国杜伦大学机械工程硕士硕士通用工程，本硕连读（一等荣誉）工作经历 2020.3-至今微电子学院北京航空航天大学教授 2014.3-2020.3 数学科学学院北京航空航天大学教授 2013.4-2013.12 计算数学组美国太平洋西北国家实验室研究员 2011.8-2013.3 计算数学组美国太平洋西北国家实验室博士后 2002.9-2003.8 外国语言系英国昂顿公学教师社会兼职 2020.1-至今《Journal for Machine Learning for Modeling and Computing》期刊编委 2015.5-至今《International Journal for uncertainty quantification》期刊编委

研究领域

我们的团队专注于开发高效数值框架，以对含不确定性的自然与工程系统状态进行量化分析，例如集成电路自动化设计、环境流体与传输、太阳能、材料基因工程、多孔介质、生物系统以及药物传输机理。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

A new multi-task learning framework for fuel cell model outputs in high-dimensional spaces.[期刊]:Journal of Power Sources,2020,482:228930 Worldwide performance assessment of 95 direct and diffuse clear-sky irradiance models using principal component analysis.[期刊]:Renewable and Sustainable Energy Reviews,2020,135:110087 Resources-constrained model selection for uncertainty propagation and data assimilation.[期刊]:SIAM/ASA Journal on Uncertainty Quantification,2020,8(3):1118-1138 irradpy: Python package for MERRA-2 download, extraction and usage for clear-sky irradiance modelling.[期刊]:Solar Energy,2020,199:685-693 Bright-Sun: A globally applicable 1-min irradiance clear-sky detection model.[期刊]:Renewable and Sustainable Energy Review,2020,121:109706 Quantification of predictive uncertainty in models of FtsZ ring assembly in Escherichia coli.[期刊]:Journal of Theoretical Biology,2020,484:110006 Data assimilation for models with parametric uncertainty.[期刊]:Journal of Computational Physics,2019,396:785-798 Worldwide performance assessment of 75 global clear-sky irradiance models using Principal Component Analysis.[期刊]:Renewable and Sustainable Energy Reviews,2018,111:550-570 A new method for an old topic: Efficient and reliable estimation of material bulk modulu.[期刊]:Computational Materials Science,2019,165:7-12 An Efficient Solver for Cumulative Density Function-based Solutions of Uncertain Kinematic Wave Models.[期刊]:Journal of Computational Physics,2019,382:138-151 Uncertainty quantification on macroscopic properties of random porous media.[期刊]:Physical Review E,2018,98(3):033306 Incorporating ground measured pollution observations to improve temporally downscaled solar irradiance simulations.[期刊]:Solar Energy,2018,171:293-301 Sequential data assimilation with multiple nonlinear models and applications to subsurface flow.[期刊]:Journal of Computational Physics,2017,346:356-368 Software reliability growth model with temporal correlation in a network environment,.[期刊]:International Journal for Uncertainty Quantification,2016,6(2):141-156 Uncertainty quantification of scientific proposal evaluations.[期刊]:International Journal for Uncertainty Quantification,2016,6(2):167-173 Probabilistic density function method for stochastic ODEs of power systems with uncertain power input.[期刊]:SIAM/ASA Journal on Uncertainty Quantification,3(1):873-896 PDF method for dynamic system with colored noise.[期刊]:Physical Review Letters,2013,110(14):140602 CDF solutions of Buckley-Leverett equation with uncertain parameters.[期刊]:SIAM Journal of multiscale modeling and simulation,2013,11(1):118-133 Uncertainty quantification in kinematic-wave models.[期刊]:Journal of Computational Physics,2012,231(23):7868-7880 Reduced complexity models for probabilistic forecasting of infiltration rate,.[期刊]:Advances in Water Resources,2010,34(3):375-382 Probabilistic predictions of infiltration into heterogeneous media with uncertain hydraulic parameters.[期刊]:Internal Journal for Uncertainty Quantification,2010,1(1):35-47 Effects of spatio-temporal variability of precipitation on contaminant migration in the vadose zone.[期刊]:Geophysical Research Letters,2009,36(12):L2404