Joint Mathematics Meetings SIAM Special Session

Current as of Saturday, January 14, 2023 03:30:05

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• Deadlines
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• Inquiries: meet@ams.org

2023 Joint Mathematics Meetings (JMM 2023)

• John B. Hynes Veterans Memorial Convention Center, Boston Marriott Hotel, and Boston Sheraton Hotel, Boston, MA
• January 4-7, 2023 (Wednesday - Saturday)
• Meeting #1183

Associate Secretary for the AMS Scientific Program:

Steven H. Weintraub, Lehigh University shw2@lehigh.edu

Society for Industrial and Applied Mathematics Special Session on SIAM Minisymposium on Imaging and Inverse Problems

• Friday January 6, 2023, 8:00 a.m.-12:00 p.m.
  Society for Industrial and Applied Mathematics Special Session on SIAM Minisymposium on Imaging and Inverse Problems
  Room 310, Hynes Convention Center
  Organizers:
  Andrea Arnold, Worcester Polytechnic Institute anarnold@wpi.edu
  

  • 8:00 a.m.
    CLAIRE: Scalable multi-GPU algorithms for diffeomorphic image registration
    George Biros, The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX
    Malte Brunn, Institute for Parallel and Distributed Systems, University of Stuttgart, Stuttgart, DE
    Naveen Nares Himthani, The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin TX
    Andreas Mang*, University of Houston
    Miriam Schulte, Institute for Parallel and Distributed Systems, University of Stuttgart, Stuttgart, DE
    (1183-49-20963)
  • 8:30 a.m.
    SymAE: An autoencoder with embedded physical symmetries for passive time-lapse monitoring
    Pawan Bharadwaj, Indian Institute of Science
    Laurent Demanet, MIT
    Matthew T.C. Li*, MIT
    (1183-68-19918)
  • 9:00 a.m.
    Bayesian sparsity approach to dictionary learning
    Daniela Calvetti*, Case Western Reserve University
    (1183-65-21279)
  • 9:30 a.m.
    TNet: A Tikhonov Neural Network Approach to Inverse Problems and UQ
    Tan Bui-Thanh*, Oden Institute for Computational Sciences and Engineering
    (1183-65-18067)
  • 10:00 a.m.
    Systematic Particle Filtering for Time-Varying Parameter Estimation
    Andrea Arnold*, Worcester Polytechnic Institute
    (1183-65-20450)
  • 10:30 a.m.
    Modeling challenges in estimation of cell membrane parameters from pH data
    Erkki Somersalo*, Case Western Reserve University
    (1183-65-21540)
  • 11:00 a.m.
    Representation of Evolving X-ray Diffraction Signatures by a Learned Low Rank Multiscale Convolutional Dictionary
    Daniel Banco, Tufts University
    Armand Beaudoin, University of Illinois at Urbana-Champaign
    Eric Miller*, Tufts University
    Matthew Miller, Cornell University
    Kelly Nygren, Cornell University
    (1183-65-22711)
  • 11:30 a.m.
    Image Reconstruction in Diffuse Optical Tomography Using Optimal Bayesian Estimator
    Anuj Abhishek, University of North Carolina at Charlotte
    Taufiquar R Khan*, University of North Carolina at Charlotte
    Thilo Strauss, Bosch
    (1183-65-16951)