M3. Tomographic Inverse Problems

Tomography has revolutionized diagnostic medicine, nondestructive evaluation and materials science. By nature, tomography is an inverse problem—recovering information about the structure or properties of an object using indirect data. Modern modalities include novel methods in X-ray CT, hybrid imaging, multi-modal imaging, multi-energy CT, ultrasound, Compton CT, and time-dependent problems. Each modality generates novel mathematics and new algorithms, many of which will be presented in this minisymposium. We will bring together young and established researchers from the inverse problems community to present their recent work and to foster discussion among participants.

Organizers:
Anuj Abhishek, Drexel University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.
Venkateswaran P. Krishnan, Tata Institute for Fundamental Research, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
Eric Todd Quinto, Tufts University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Invited Speakers :
Anuj Abhishek, Drexel University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Rohit Mishra, University of Texas at Arlington, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Benjamin Palacios, University of Chicago, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Souvik Roy, University of Texas at Arlington, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Suman Sahoo, TIFR Centre for Applicable Mathematics, India, This email address is being protected from spambots. You need JavaScript enabled to view it.

Manmohan Vashisth, Beijing Computational Science Research Center, China, This email address is being protected from spambots. You need JavaScript enabled to view it.

Anne Wald, Saarland University, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.

Yiran Wang, Emory University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.

Yang Yang, Michigan State University, USA, This email address is being protected from spambots. You need JavaScript enabled to view it.