陆帅

个人信息Personal Information

教师拼音名称:Lu Shuai

所在单位:数学科学学院

职称:教授

在职信息:在职

主要任职:教师

博士生导师

硕士生导师

学科:计算数学

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  • International Workshop on

    Inverse Problems: New trends in theory and applications

    Friday October 19th 2012 and Saturday October 20th 2012

    Fudan University, Room 1801, East GuangHualou

    Leaflet of the Workshop

    Preliminary Schedule:

    Friday: October 19th

    10:00-12:00 am Young Researchers Forum
    Two Talks by Ismael Bleyer and Daniel Gerth (Austria)
    Room 1801, East GuangHualou
    18:00-20:00 pm Welcome dinner
    Fudan University, Danyuan Restaurant 3rd floor

    Saturday: October 20th

    Morning session:
    Chairman: Prof. Jin Cheng
    09:00-09:45 am   Markus Hegland (Australia)
    New opportunities and challenges for the computational solution of inverse problems and a PDE-style approach to high-dimensional density estimation
    09:45-10:30 am   Olivier Poisson (France)
    Inverse problems for a coupled parabolic system

    10:30-10:45 am  Coffee break

    10:45-11:30 am   Masahiro Yamamoto (Japan)
    Uniqueness and stability for several inverse problems for fractional diffusion equations
    11:30-12:15 pm   Philipp Kügler (Austria)
    Underdetermined Inverse Problems in Modelling and Simulation of Biochemical Reaction Networks

    12:15-14:00 pm   Lunch break at
    Fudan University, Danyuan Restaurant 3rd floor

    Afternoon session:
    Chairman: Prof. Masahiro Yamamoto
    14:00-14:45 pm   Michel Cristofol (France)
    Inverse parabolic problems : Classical and new approaches
    14:45-15:30 pm   Fikret Gölgeleyen (Turkey)
    TBA

    15:30-15:45 pm  Coffee break

    15:45-16:30 pm   Patricia Gaitan (France)
    Inverse problems for coupled systems
    16:30-17:15 pm   Stephan W. Anzengruber (Germany)
    Regularization properties of the discrepancy principle for Tikhonov regularization

    18:00-21:00 pm   Conference dinner at
    Shanghai Min Restaurant, Wujiaochang


  • International Workshop on

    Inverse Problems and Regularization Theory

    Thursday (September 26th, 2013) to Sunday (September 29th, 2013)
    Fudan University, Room 1801, East GuangHualou

    Integrating the Chemnitz Symposium on Inverse Problems on Tour

    The official webpage for the workshop is now moving to our department webpage. Click Here!

    OBJECTIVES
    The purpose of this workshop is to further strengthen the collaboration among the worldwide leading researchers in inverse problems and regularization theory.The workshop is organized by Professor Jin Cheng (Fudan University, China) and Professor Bernd Hofmann (TU Chemnitz, Germany).

    The following recent theoretical and numerical approaches are focuses of investigation:
    Conditional stability, Ill-posed problems, Regularization schemes, Numerical Methods.

    Invited Speakers (Confirmed)

    Local Organizers
    Jin Cheng, Wenbin Chen, Shuai Lu

    Co-organized by:
    School of Mathematical Sciences, Fudan University
    Shanghai Key Lab of Contemporary Applied Math.
    Nonlinear Mathematical Modeling and Methods Lab.
    E-Institute of Shanghai Universities

    Sponsors
    111 Project
    National Science Foundation of China
    Science and Tech. Commission of Shanghai Municipality


  • International Workshop on

    Regularization Theory of Unstructured Data

    Friday (May 15th, 2015) to Saturday (May 16th, 2015)
    Fudan University, Room 1801, East GuangHualou

    Flyer
    Program
         

    OBJECTIVES

    The purpose of this workshop is to further strengthen the collaboration among the worldwide leading researchers in Regularization Theory and Unstructured Data.

    The following recent theoretical and numerical approaches are focuses of investigation:
    Regularization theory, Imaging sciences, Data sciences, Inverse problems.

    Program:

       

    Plenary Speakers

    Invited Speakers

    Local Organizers
    Jin Cheng, Weiguo Gao, Wenbin Chen, Shuai Lu (Fudan U.)
    Gang Bao, Xiang Xu (Zhejiang U.)

    Co-organized by:
    School of Mathematical Sciences, Fudan University
    Shanghai Key Lab of Contemporary Applied Math.
    Nonlinear Mathematical Modeling and Methods Lab.
    E-Institute of Shanghai Universities
    Department of Mathematics, Zhejiang University

    Sponsors
    Major State Basic Research Development Program of China (973 Program)
    National Science Foundation of China
    National Science Foundation of China (Tianyuan Special Fund)
    Science and Tech. Commission of Shanghai Municipality
    111 Project


  • Mini-workshop on Inverse Problems

    Time:    Sunday (August 2rd, 2015)
    Venue:  Fudan University, Room 1501, East GuangHualou

    OBJECTIVES

    The purpose of this workshop is to further strengthen the collaboration among the worldwide leading researchers in Inverse Problems. The following recent theoretical and numerical approaches are focuses of investigation: spectral theory, optimal control and Bayesian approach.

    Program & Invited Speakers

    • William Rundell (TAMU, USA)   9:30 AM – 10:30 AM

    • Title: Recovering graph networks of vibrating strings from spectral measurements

    • Marco Iglesias Hernandez (University of Nottingham, UK) 10:40 AM – 11:40 AM

    • Title: A Bayesian level-set approach for geometric inverse problems

    • Christian Clason (Universität Duisburg-Essen, Germany) 14:00 PM – 15:00 PM

    • Title: Convex relaxation of hybrid binary-continuous regularization

    Local Organizers
    Jin Cheng, Shuai Lu (Fudan U.)
    Gang Bao, Xiang Xu (Zhejiang U.)

    Co-organized by:
    School of Mathematical Sciences, Fudan University
    Shanghai Key Lab of Contemporary Applied Math.
    School of Mathematical Sciences, Zhejiang University

    Sponsors
    National Science Foundation of China
    National Science Foundation of China (Tianyuan Special Fund)
    Science and Tech. Commission of Shanghai Municipality
    111 Project


  • A3 Joint Seminar on Inverse Problems

    Time:    Saturday(March 12, 2016)
    Venue:  Fudan University, Room 1801, East GuangHualou

    OBJECTIVES

    The purpose of this joint seminar is to further strengthen the collaboration among A3 project “Modeling and Computation of Applied Inverse Problems”.

    Program & Invited Speakers

    • Xinchi Huang (The Univ. of Tokyo)  9:30AM-10:00AM
      Carleman estimate for magnetohydrodynamics system and inverse source problem

    • Takashi Ohe (Okayama Univ. of Science) 10:00AM-10:30AM
      Reconstruction of dipole sources in a three dimensional scalar wave equation from boundary observations

    • Yutaka Kamimura (Tokyo U. of Marine Science and Technology) 10:30AM-11:00AM
      Nonlinear term realizing a prescribed blow-up time

    • Tea break 11:00AM-11:10AM

    • Atsushi Nakayasu (The Univ. of Tokyo)  11:10AM – 11:40AM
      Homogenization and cell problems for noncoercive quasiconvex Hamiltonians

    • Tokinaga Namba (The Univ. of Tokyo)  11:40AM-12:10PM
      Hamilton-Jacobi equations with fractional time derivatives

    • Afternoon Session 14:00AM-16:30PM
      Discussion

    Organizers
    Jin Cheng (Fudan U.)
    Masahiro Yamamoto (The Univ. of Tokyo)
    Shuai Lu (Fudan U.)

    Sponsors
    National Science Foundation of China
    National Science Foundation of China (Tianyuan Special Fund)
    111 Project


  • Seminar on

    Data assimilation and filtering dynamic systems

    Time: Monday (December 19, 2016)
    Venue: Fudan University, Room 1801, East GuangHualou

    OBJECTIVES

    The purpose of this seminar is to strengthen the collaboration among inverse problems and data assimilation.

    Program & Invited Speakers

    • Xin Tong (National University of Singapore; Singapore) 9:30AM-10:30AM
      EnKF performance with small ensemble

    • Nan Chen (New York University, USA) 10:30AM-11:30AM
      A conditional Gaussian framework for filtering and predicting complex turbulent systems

    • Wonjung Lee (City University of Hongkong, China) 14:00PM-15:00PM
      Reduced Complex Dynamical System Models and Applications to Data Driven Uncertainty Quantification

    • Discussion 15:00AM-16:30PM

    Organizers
    Jin Cheng (Fudan U.)
    Shuai Lu (Fudan U.)

    Sponsors
    National Science Foundation of China
    111 Project


  • Workshop on

    Data Assimilation and Information Theory

    Time: Wednesday (June 7, 2017)
    Venue: Fudan University, Room 1801, East GuangHualou

    OBJECTIVES

    The purpose of this seminar is to strengthen the collaboration among data assimilation and information theory.

    Program & Invited Speakers

    • Zhizhen Jane Zhao (University of Illinois at Urbana-Champaign) 10:00AM-11:00AM
      Analysis and Forecasting of Large Datasets

    • Chuan Gao (Institute of Oceanology, Chinese Academy of Sciences) 13:30PM-14:30PM
      IOCAS ICM and ENSO simulation, forecast and improvement

    • Yaoyu Zhang (New York University Abu Dhabi, United Arab Emirates)
      14:30PM-15:30PM
      Validity and reliability of Granger causality analysis on neuronal network reconstruction

    • Zhiqin Xu (New York University Abu Dhabi, United Arab Emirates)
      15:30PM-16:30PM
      A probability polling state– the Maximum Entropy Principle in neuronal data analyais

    Organizers
    Jin Cheng (Fudan University)
    Shuai Lu (Fudan University)
    Nan Chen (New York University)

    Sponsors
    National Science Foundation of China


  • International Conference on Inverse Problems

    Friday (October 12, 2018) to Sunday (October 14 , 2018)
    Conference Venue: Room 1801, East GuangHualou, Fudan University, Shanghai


    Latest Program 
       

    OBJECTIVES
    The purpose of this conference is to further strengthen the collaboration among the worldwide leading researchers in inverse problems and related topics. The workshop is organized by Professor Jin Cheng (Fudan University, China) and Professor Masahiro Yamamoto (the University of Tokyo, Japan)

    The following recent theoretical and numerical approaches are focuses of investigation:
    Conditional stability, Ill-posed problems, Regularization schemes, Numerical Methods.

    Invited Speakers

    Local Organizers
    Jin Cheng, Wenbin Chen, Shuai Lu

    Co-organized by:
    School of Mathematical Sciences, Fudan University
    Shanghai Key Lab of Contemporary Applied Math.
    Nonlinear Mathematical Modeling and Methods Lab.
    E-Institute of Shanghai Universities

    Sponsors
    National Science Foundation of China


  • Workshop on Numerical Weather Prediction and Data Assimilation

    Friday (April 20, 2018)
    Conference Venue: Room 1801, East GuangHualou, Fudan University, Shanghai

    OBJECTIVES
    The purpose of this workshop is to strengthen the collaboration among the colleagues in Numerical Weather Prediction and Data Assimilation.

    Invited Speakers

    • Roland Potthast (German Weather Service and University of Reading)

    • 09:30-10:30
      Ensemble Data Assimilation and Bayesian Methods for Large-Scale Applications

    • Wei Han (China Meteorological Administration)

    • 10:30-11:00
      Some problems in the data assimilation systems

    • Yongzhu Liu (China Meteorological Administration)

    • 11:00-11:30
      Application of Lanczos algorithms in GRAPES 4DVAR and optimal perturbation

    • Jincheng Wang (China Meteorological Administration)

    • 13:30-14:00
      The background covariance error in GRAPES data assimilation system

    • Hao Wang (China Meteorological Administration)

    • 14:00-14:30
      Assimilation of water vapor channel emissivity data in geostationary satellites

    • Ruoying Yin (China Meteorological Administration)

    • 14:30-14:50
      A study on channel selection of new geostationary meteorological satellites

    • Haiqin Chen (China Meteorological Administration)

    • 14:50-15:10
      Radar reflectivity 1d+3dvar assimilation method

    • 15:10-15:30 Tea break

    • 15:30-17:30 Discussion

    Local Organizers
    Jin Cheng, Shuai Lu

    Co-organized by:
    School of Mathematical Sciences, Fudan University
    Shanghai Key Lab of Contemporary Applied Math.
    Nonlinear Mathematical Modeling and Methods Lab.
    E-Institute of Shanghai Universities

    Sponsors
    National Science Foundation of China