Program

Monday

• Liliana Borcea, University of Michigan 

Waveform inversion via reduced order modeling; Slides

• Emil Sidky, The University of Chicago

Advanced image reconstruction techniques in CT, PET, and MRI enabled by CCAM collaborations; Slides

• Raluca Felea, Rochester Institute of Technology

FIOs with singularities in borehole seismic data; Slides

• Mark Anastasio, University of Illinois at Urbana-Champaign

Recent advances in image reconstruction for ultrasound computed tomography; Slides

• Alexandru Tamasan, University of Central Florida

Range conditions of the X-ray transform of symmetric tensors in the plan in terms of the Fourier coefficients of biperiodic functions; Slides

• Sebastian Acosta, Baylor College of Medicine

High order pseudodifferential methods for ultrasound waves and biomedical applications

Tuesday

• Chrysoula Tsogka, University of California, Merced

Phase and absorption contrast imaging using intensity measurements; Slides

• John Schotland, Yale University

Acoustically-Modulated Electromagnetic Inverse Source Problems; Slides

• Jennifer Mueller, Colorado State University

Real-time pulmonary imaging of pediatric patients with EIT and an anatomical atlas; Slides

• Fioralba Cakoni, Rutgers University

Non-scattering phenomena and a spectral approach to  inverse scattering; Slides

• Teemu Saksala, North Carolina State University

Partial Data Inverse Problem for Hyperbolic Equation with Time-dependent Damping Coefficient and Potential; Slides

Wednesday

• Allan Greenleaf, University of Rochester

A Cubic Correction in EIT Imaging; Slides

• Leonid Kunyansky, University of Arizona

Weighted Radon transforms of vector fields, with applications to magnetoacoustoelectric tomography; Slides

• Shari Moskow, Drexel University

Born and inverse Born series for scattering problems with Kerr nonlinearities; Slides

Thursday

• Alexander Katsevich, University of Central Florida

Reconstruction From Discrete 2D Radon Transform Data - Resolution and Aliasing; Slides

• Kui Ren, Columbia University

Inverse problems to a system of semilinear Helmholtz equations; Slides

• Lu Zhang, Rice University

Coupling physics-deep learning inversion; Slides

• Jeremy Hoskins, The University of Chicago